When you hear “Kennedy Archives,” you might think of classified documents, high-profile investigations, and decades of public scrutiny. However, buried in the thousands of government records—many of which are poorly scanned, redacted, or handwritten—is a valuable case study in modern eDiscovery AI. 

During a live demonstration, OpenText experts showcased how OpenText™ eDiscovery uses artificial intelligence and advanced analytics to make sense of this complex collection—uncovering long-buried connections and illustrating how the same techniques can be used to speed through modern investigations and pretrial discovery.

Deciphering complexity with eDiscovery AI

PDF images filled with smudged typewriter text, blacked-out sections, conflicting narratives, and handwritten margin notes push the limits of traditional review tools.

To tackle these challenges, OpenText experts demonstrated how AI-powered capabilities in OpenText™ eDiscovery help legal teams cut through the noise:

• Use external metadata and interactive timelines to view documents by date and spot communication patterns—powered by tools like OpenText eDiscovery Hypergraph
• Extract text from image-only PDFs using optical character recognition (OCR), then analyze concepts, keyword context, and language detection with built-in tools
• Enrich documents automatically with OpenText Intelligent Classification (Magellan) to identify people, organizations, places, sentiment, PII, and more
• Transcribe audio files for fast search and analysis—so reviewers can surface key people, places, and tone without having to listen to every file
• Leverage OpenText eDiscovery Aviator GenAI to:
  • Summarize concept group labels
  • Generate contextual document summaries (leveraging knowledge beyond the dataset)
  • Rapidly summarize document sets based on a custom prompt or text from an existing document
  • Automatically classify files as Responsive or Non-Responsive with OpenText eDiscovery Aviator Review

These are not hypothetical capabilities—they’re available today and built to help legal teams triage large, messy document sets with speed and precision.

Speed to facts: Then and now

One of the more striking moments in the session came when the solution expert used a single letter from a key figure in the Kennedy investigation as the foundation for an entire line of inquiry.

Using predictive search, related documents were identified based on tone, content, and context—not just keywords. Results included documents with conflicting timelines, correspondence with emotionally charged language, and even information that appeared unrelated at first glance but actually revealed deeper thematic connections.

That same “speed to facts” is what legal teams need today. Whether reviewing 1,000 or 1 million documents, AI can help legal teams and investigators to identify key players and individuals much earlier in the process, spotlight inconsistencies, and even track sentiment shifts over time.

Lessons for today’s legal teams

• The Kennedy Archives are messy, inconsistent, and full of ambiguity—just like real-world data sets legal teams deal with today. 

• Tools that can handle incomplete, redacted, or poorly formatted material give investigators more confidence and control from the outset. 

• OpenText eDiscovery’s AI capabilities—especially concept clustering, entity extraction, and intelligent summarization—translate directly to corporate and regulatory matters. 

• Whether you’re looking for a smoking gun or trying to piece together intent, GenAI can help reduce blind spots and sharpen your strategy. 

eDiscovery AI tools enable teams to go beyond the obvious by leveraging intelligent data classification and visual communication analysis, which reveal subtle patterns and insights often missed by older systems.

Ultimately, the lessons from this case study translate directly to today’s legal challenges—helping teams apply these insights and proven AI-driven techniques to navigate even the most voluminous, ambiguous, or fragmented document sets with greater precision and strategic clarity.

Watch the full webinar to see how OpenText eDiscovery AI uncovered insights in the Kennedy Archives—and how those same techniques apply to your next matter.

Learn more about eDiscovery

The post From noise to knowledge: eDiscovery AI making sense of the Kennedy Archives appeared first on OpenText Blogs.

OpenText™ Knowledge Discovery (IDOL) provides a data analytics platform for enterprises who need to extract maximum value from all their text, audio, video, and image data, from any repository in any file format. Providing data extraction, data enrichment, precise search and knowledge discovery, Knowledge Discovery helps organizations discover valuable information they did not know they had, whilst also identifying compliance risk associated with document contents such as personally identifiable information (PII) using entity grammars. 

With an unparalleled history in artificial intelligence and machine learning, Knowledge Discovery provides a unique set of optimized models to fit any application, accelerating time to value. Connecting and gathering information from diverse locations with over 160 connector types, including Public and Private Cloud and On-Premise, Salesforce, Microsoft® 365, Google Workspace and OpenText Content Solutions and can access and retrieve information and knowledge from over 2000 file types.  

May 2025: What’s new in OpenText Knowledge Discovery CE 25.2

This OpenText Knowledge Discovery (IDOL) CE 25.2 release includes various functional and performance improvements, new connectors, file format support, and many other additions. 

New connectors

• Improved OpenText Information Archive connector – An updated bidirectional connector for the Information Archive repository allows it to archive data as well as search and understand previously archived data.

• New Guidewire connector – A searching connector enables the ingestion of contract and policy content into the OpenText Knowledge Discovery index.

Named Entity Recognition - Landmarks exposed to pre-process

• Defined improvements in Named Entity Recognition – Added elements for Turkish Address, more city names in NZ Addressand the NZ Social Welfare number. 

• Defined improvements in PCI - Added extra delimiters for card details, in names and medical details, as well as expanded landmarks for Telephone context matching. 

• PII Japanese names accuracy improved - Increased accuracy of Named Entity Recognition detecting Japanese names, and improved ability to correctly identify Japanese names within a document.  

Opentext File Content Extraction updates and other improvements

• File formats - New Design Web Format (DWF) filter support, metadata now available from password-protected iWork files and additional formats detected. 

• Performance improvements – A reduction in the iWork reader disk footprint as well as a reduction of the footprint of the common third-party libraries. 

• Easier access to HTML Export from Filter – Improved ability to select XMP metadata elements and subfile extraction arguments added to C++ API 

• OEM platform – OEM Easier fault diagnosis with library-wide logging, improved security of inter-process mechanisms and better HTML Export fidelity for DWG Docs.  

January 2025: What’s new in OpenText Knowledge Discovery CE 25.1  

Organizations are looking to access all their Enterprise Data; but in a world where 90% of existing corporate knowledge is in Unstructured formats, over 50% of organizations are not tapping into this aspect of their knowledge with any form of discovery. Customers can use OpenText Knowledge Discovery with new interfaces, including using Natural language questioning to reach their information securely across all users. 

This OpenText Knowledge Discovery (IDOL) CE 25.1 release includes various functional and performance improvements, new connectors, file format support, and many other additions. 

New APIs added 

PII named entity resolution REST API – created a published REST API to access OpenTex Named Entity Recognition for PII functionality. Simplifies the adoption of Knowledge Discovery Al technology by internal and external OEMs 

Rich-Media analysis REST API – created a published REST API to access all Rich Media analytics functionality. Simplifies the adoption of Knowledge Discovery Al technology by internal and external OEMs 

Ingest and connectors 

New OpenText DAM connector

• A highly functional connector to the OpenText DAM product. This allows OpenText Knowledge Discovery to ingest and enrich content from the DAM repository and keep the data synchronized between the two systems to provide DAM content filtering using the Search Abstractor API 

Improved security in OpenText Content Management (Extended ECM) Connector  

• Increased alignment of document security policies between OpenText Content Management and OpenText Knowledge Discovery

• OpenText Content Management has numerous document security models above and beyond document folder based, where possible these have now been mapped to OpenText Knowledge Discovery's understanding of access rights

OpenText Named Entity Recognition - Landmarks exposed to pre-process 

Defined grammar landmarks are now visible at the pre-process stage of OpenText Named Entity Recognition

• Pre-processing can significantly help in reducing latency and workload, landmarks can be used to help make selection decisions at this early stage. DLP OEM vendors will benefit from this.  

PII Thailand names accuracy improved

• Increased accuracy of OpenText Named Entity Recognition detecting Thai names - the new grammar has an improved ability to correctly identify Thai names within a document  

Deployment and other improvements 

Automatic scaling OpenText Knowledge Discovery platform for Kubernetes

• Published Helm charts to deploy OpenText Knowledge Discovery with the ability to automatically scale resource - deployment size flexibility along with simplified expansion as and when required 

Vault integration with OpenText Knowledge Discovery components

• OpenText Knowledge Discovery microservices can securely store passwords and keys in the Vault repository (or equivalent)  
• Customers will benefit from cloud deployment best practice of secure central storage of passwords and keys etc. 

December 2024: What’s new in OpenText Knowledge Discovery CE 24.4 

Organizations are looking to access all their enterprise data; but in a world where 90% of existing corporate knowledge is in unstructured formats, over 50% of organizations are not tapping into this aspect of their knowledge with any form of discovery. Customers can use Knowledge Discovery with new interfaces, including using natural language questioning to reach their information securely across all users. 

This OpenText Knowledge Discovery (IDOL) 24.4 release includes various functional and performance improvements, new connectors, file format support, and many other additions. 

New API added 

Search Abstractor Rest API – created to support conversational question and answering with better context for AI generated responses. Conversation server, working with FAQ answers through Answer bank, Fact bank and now LLM’s remembers the context of questions within the conversations service in Knowledge Discovery. Adding to the great governance provided by curated answers. 

Filtering support in the Search Abstractor adds parametric fields for pre-filtering of documents. The search results can provide microscopic view of either single or multiple documents through criteria for fine grain filtering. The searching can now utilise prior knowledge to allow focus on RAG document retrieval, by using parametric fields to build a subset of entities for RAG. 

Working across text documents and images simultaneously in the search abstractor. Searching can now take criteria of both text and images as search criteria, and the results will also include similar images making Multi Modal search available. 

Ingest & connectors 

• Salesforce – Updating the connector to stay up to date with the changes in Salesforce. 

• Additional Pre filtering for focused selection added to OpenText Core Content Management & OpenText Content Management.

• IBM FileNet P8 Each document in FileNet can have multiple binary files which we now interrogate. 

Text analytics 

• Analytics: LLM based image matching - Image based transformers can be used to generate vectors for the Knowledge Discovery (IDOL) Index. Customers can now search for similar images based on not just the textual description but also the actual image content.   

Media Server 

• The Media Server as a NiFi Processor is now available with full functionality. This allow NiFi workflows and the ability to scale and manage the Media Server app though Nifi clustering. 

• Demo application with abilities to process and analyze images and other functionalities is now available in the Media Server for ease of use. 

File content extraction

• Filtering of Source Code comments 

• Support added for Metadata output for .mht files & QuickTime (.mov) files. 

• Extended format detection, with support for 93 additional file formats. 

• In HTML Export the pdf2sr reader to extract images from pages in a PDF file, you can now configure the size of the images to produce. 

Deployment & other improvements 

• HELM charts for Kubernetes provide a comprehensive set of options to assist complex deployments. With the 24.4 release we bring further enhancements to our HELM charts. 

• Named Entity Recognition SDK: You can load multiple grammars and then dynamically turn off what it is not needed for a particular document, allowing the flexibility of swapping grammars with less degradation of performance in comparison to the loading unloading cycle of grammars. The new thing is a reducing of the overall impact of this process.  

July 2024: What’s new in OpenText Knowledge Discovery (IDOL) CE 24.3

OpenText Knowledge Discovery CE 24.3 is a significant release for the third quarter of CY24. There is an increasing need for companies to reach a greater variety of data, which adds to the complexity of their search types. We allow all customers to achieve a suitable response in their enterprise-wide search across all levels of an organization.

Now part of Content Services, the combination of best of breed products will help organizations who are looking to access all their corporate knowledge through enterprise search. Bringing additional abilities to derive deeper insights, reach actionable conclusions quicker, and gaining a new level of investigative analytics, across content, teams, and projects. Document level security is also enhanced, with extra features to report and export securely and track data delivery end to end.

The Knowledge Discovery CE 24.3 release includes various functional and performance improvements, new connectors, file format support, and many other additions.

The main improvements in version CE 24.3 are listed below:

Ingest 

• Microsoft Teams, Zoom, Cisco Webex and Google Chat connectors – New connectors allow customers to collect collaborative video meetings for retrospective analysis and/or content retrieval as part of aviator search.

Text Analytics 

• Search abstractor – Customers will have better context provided by the RAG to pass on to the GenAI, therefore experiencing a higher likelihood of a correct answer being produced.

• Specific document retrieval – Customer can ask the system to find and return a specific document that matches their unique specification.

Rich Media Analytics 

• OCR improvement – Improved OCR for better support of scrolling text. Customers will experience a higher accuracy of extracted text from video imagery. 

• Speaker ID improvement – Customers will experience a higher accuracy of Speaker ID from video or audio files. 

KeyView 

• Added Audio and Video to the Export SDK.

• Added 30 new formats to File detection. 

• Metadata API Improved to limit duplicated data.

• New .NET API.

• Added support for Python 3.12.

Solutions 

• Knowledge Discovery Discover – Discover provides investigative analytics and advanced UI for searching and analyzing relations between objects, with project and team collaboration along with full oversight on the analytics process.

• Knowledge Discovery for Microsoft Exchange – Knowledge Discovery can be added as a BOT in MS Exchange allowing customers to directly access the functionality via simple natural language prompts emailed to a BOT email address in MS Exchange. 

Deployment & Licensing changes 

All components are now published to the Public Docker Hub repository to allow easier installation, maintenance and upgrades.

• Eduction Python EDK – Customers who prefer to program using the popular Python language can now use it to control our Eduction engine, simplifying their integration experience. 

• Eduction for Windows ARM – OEM users of Eduction EDK can now deploy on Windows ARM systems. 

• Additional license feature
  • From CE 23.2, we are introducing an additional license feature – a “version.key” 
  • The file is available in the SLD portal for customers with an active support contract and is required for all Knowledge Discovery installations running CE 23.2.
  • New key will be issued with every future Knowledge Discovery release. 

April 2024: What’s new in OpenText Knowledge Discovery (IDOL) CE 24.2

Organizations are looking for conversational access to enterprise data; in a world where 90% of existing corporate knowledge is in unstructured data, over 50% of organizations are not tapping into this aspect of their knowledge with any form of discovery. Customers can use the new interfaces with Q&A using natural language questioning to deliver their information with data securely to all users.

This OpenText IDOL 24.2 release includes various functional and performance improvements, new connectors, file format support, and many other additions.

New solution added: Teams client

• Customers can access functionality using simple natural language prompts directly via the Teams interface.

Ingest & connectors

• Drupal Connector – Updated to support the latest API changes and allow data extraction from old and new Drupal versions.  

• Google Workspace Connectors – Content extraction is now accessible from the major Google Workspace apps including Mail, Calendar and Chat using dedicated connectors.

• Web Connector 2FA – Updated to allow 2Factor Authentication. 

• Additional new connectors – Stack Exchange; Moodle and OpenText eDocs.

• IDOL Media Server – Can now run within NiFi, allowing processing of media streams & sources.

Text analytics

• Analytics: Search abstraction – IDOL can now automatically decide which index type to use to achieve the best response. The functionality abstracts the complexity of search types, democratizing Enterprise search, and allowing all users to achieve a suitable response, across all levels of an organization. 

• Multi-document summarization – Generative summary compiled from answers sourced from multi documents. The functionality provides richer answer to any question asked as it can be the combination of multiple parts sourced from different documents. 

• Dynamic clustering of vector results to identify grouping – Customers can use the grouping of results to select a variation in documents returned rather than returning very similar documents with no added information. 

• Analytics: LLM based image matching – Image based transformers can be used to generate vectors for the IDOL Index. Customers can now search for similar images based on not just the textual description but also the actual image content.   

Media Server

• The Media Server as a NiFi processor is now available with full functionality. This allow for NiFi workflows and the ability to scale and manage the Media Server app though Kubernetes. 

• Demo application with abilities to process and analyze images and other functionalities is now available in the Media Server for ease of use. 

KeyView

• Tabular data detection for One Note & pipe separated text.  

• OCR is now available on MacOS through the KeyView SDKs.

• Header & Footer are now configurable through Python APIs.

• Significant Performance improvements through Shared Memory Streaming.

• Additional Formats, Security & Compatibility improvements.

Deployment & other improvements

• HELM charts for Kubernetes provide a comprehensive set of options to assist complex deployments. CE 24.2 brings further enhancements to our HELM charts. 

• Eduction SDK Post-processing access to match context.

The post What’s new in OpenText Knowledge Discovery appeared first on OpenText Blogs.

If you're like some companies, your legal team may be using outdated, mish-mashed software or a myriad of point solutions to manage your eDiscovery processes. While this antiquated approach may work for some companies or use cases, many enterprise legal teams and their law firms, with a guiding hand of its IT leaders, are identifying and evaluating newer legal technology that better aligns with maturity and needs and satisfies ROI objectives—especially as AI and GenAI capabilities for eDiscovery explode onto the scene to help tackle rising volume and complexity of data in modern investigation and litigation matters. 

eDiscovery software comes with an extensive range of features, and many have strengths in one area (such as processing) and have some challenges in others (such as analysis or review). Hence, it's essential to identify your legal team's needs and priorities, along with their IT deployment preferences, and conduct thorough research. 

Analyst firm GigaOm's Radar for E-Discovery is a great starting point if you're actively seeking new eDiscovery solutions or simply want to know what's available on the market.

GigaOm provides evaluation criteria and guidance

The GigaOm Radar for E-Discovery highlights key e-discovery vendors. It identifies vendors and products that excel at helping organizations assess competing solutions in the context of well-defined features and criteria. 

The report describes key features and metrics used to evaluate vendors, provides an overview of the category and its underlying technology, identifies leading e-discovery solutions, and helps decision-makers evaluate these platforms to make a more informed investment decision. 

The report evaluates 19 different eDiscovery software vendors, including OpenText™, Everlaw, CloudNine, Veritas, DISCO, Nuix, Relativity, Reveal, and Consilio, on factors including vendor positioning (small-to-medium business (SMB), large enterprise, and/or law firms), deployment mode (cloud only, on-premises or hybrid), key features (e.g., multiple-device data collection, analysis & review, data redaction, real-time tracking of eDiscovery process, tagging & organizing documents, enterprise search, social media support, video & audio support) and evaluation metrics (speed, cost, scalability, security, and ease of use).

The GigaOm Radar

The GigaOm Radar plots vendor solutions across a series of concentric rings, with those positioned closer to the center being judged to have higher overall value based on an evaluation of the factors. The chart characterizes each vendor on two axes—balancing Maturity versus Innovation and Feature Play versus Platform Play—while providing an arrow that projects each solution's evolution over the coming 12 to 18 months. 

Here is the GigaOm Radar: 

OpenText named a leader

The industry report recognizes OpenText as an "Outperformer due to its high rate of delivery last year, high release cadence, and a strong roadmap for the coming year," outperforming all other vendors on a key feature comparison. OpenText received the highest possible scores for key features, including multiple-device data collection, analysis, and review; data redaction; real-time tracking of the eDiscovery process; tagging and organizing documents; enterprise search; and video and audio support, as well as business criteria—speed, cost, and scalability. The report also noted that "OpenText is one of the most flexible vendors in terms of deployment options—options include on-premises, private cloud, public cloud (SaaS), and hybrid."

If you're interested in learning more about eDiscovery solutions available on the market and a better understanding of their capabilities, relative strengths, and challenges, the GigaOm Radar report provides valuable information. You can obtain a copy of the report here. 

Learn more about OpenText eDiscovery solutions here.

The post How to generate a custom shortlist of eDiscovery vendors appeared first on OpenText Blogs.

We're excited to announce the latest update in OpenText eDiscovery CE 25.2, introducing a powerful new tool that transforms how legal teams organize and analyze evidence. Here's what's new:

OpenText eDiscovery Chronology

In modern litigation and investigations, organizing massive volumes of digital evidence chronologically to understand the who, what, where, and when of a matter can be daunting, labor-intensive, expensive, and potentially risky. The new OpenText™ eDiscovery Chronology addresses this challenge head-on. 

This interactive chronological narrative building tool helps legal teams track, organize, and analyze evidence by date—with full control of event metadata and complete audit trail capabilities. With Chronology, legal teams can leverage technology to streamline an otherwise manual task and quickly gain a clearer understanding of the sequence of events that may make or break a case. 

With integrated visual Chronology, legal teams can: 

• Easily identify potential gaps or inconsistencies in evidence earlier, reducing risks and unpleasant surprises 
• Save time by organizing events and facts without having to copy and paste text and link documents in Excel, Word, or third-party software 
• Quickly zero in on specific events or facts at any time, for faster, easier, and more thorough client reporting, early case assessment, and preparation for depositions, hearings, settlement discussions, and trial 

Chronology is a key feature that has been frequently requested by our customers and represents a significant enhancement to our platform's capabilities.

In addition to the new Chronology feature, OpenText continues to release enhancements to our existing capabilities.   

OpenText eDiscovery Aviator Key Document Summary – Now exportable! 

Initially released in April 2024, Aviator Key Document Summary empowers legal teams to create an AI-generated summary of key documents, complete with links to the documents, for improved document review efficiency and rapid insight into the case.  Now with CE 25.2, legal teams can more easily share document summaries with team members and clients with the ability to export Key Document Summaries, complete with working document links. 

Aviator Review – More intuitive than ever 

In our ongoing effort to increase efficiency and automate first-pass review, we have simplified the OpenText eDiscovery Aviator Review process to two simple steps:  

1. Input your review criteria 
2. Identify the designated document set on which you want Aviator Review to run

It is really that easy, and after the Aviator results are returned, legal teams have the option to quickly QC the document set using the “compare with human review toggle” and selecting the coded review field to be used for comparison. 

Expanded bulk redaction capabilities  

Accurate and consistent redaction of privileged, confidential, or sensitive information across all document formats is a critical component for reducing production risks.   Inadvertent production of privileged or sensitive information is a legal team’s worst nightmare.  As the type of data involved in litigation and investigations continues to become more diverse—going far beyond email and Word documents—it's essential that bulk redaction tools keep pace.  That's why we're pleased to expand OpenText eDiscovery bulk redaction to support the chat-specific redaction view.  We have also added support for Social Security Number patterns in the Bulk Redaction wizard for the native Excel viewer, the audio/video viewer (Cloud only), and the HTML chat viewer.  

 Additional new redaction capabilities include: 

• New “change redaction” functionality for the near native Excel viewer, the audio/video viewer (Cloud only), and the HTML chat viewer
• The ability to centrally manage the addition and deletion of redaction reasons from within the Review & Analysis module
• The addition of a dedicated Regular Expressions (RegEx) tester to support users writing their own customized RegEx for bulk redaction
• An improved RegEx pattern search for birthdates

These updates in OpenText eDiscovery CE 25.2 represent our ongoing commitment to providing powerful, user-friendly tools for modern eDiscovery workflows. By introducing new functionality and enhancing existing key features, we're responding to our most frequent customer requests and helping legal teams work more efficiently and effectively than ever before, delivering better outcomes for their clients and organizations. 

The post OpenText™ eDiscovery CE 25.2: Introducing eDiscovery Chronology for enhanced evidence organization appeared first on OpenText Blogs.

OpenText Aviator Search, powered by AI and natural language processing (NLP), offers a unique way to access and read data seamlessly, regardless of format. Its conversational interface makes it easy for users to interact with their enterprise data, enhancing their roles with the skills of knowledge workers or search analysts. The real-time cloud-based data analysis enables users to quickly find answers, gain insights, and make better decisions.

April 2025: What's new in OpenText Aviator Search CE 25.2

The Aviator Search CE 25.2 release extends the admin capabilities and performance improvements, new usability improvements, and many other additions. The main improvements in version CE 25.2 are listed below:

User enhancements to ease retrieving insight

• Crossing the unhighlighted content to visit the next relevant section in the referenced document: Jumping between relevant chunks within a reference document allows end users to quickly identify and navigate between the highlighted chunks within a reference document, improving speed of reference reading and usability.

Admin UI enhancements

• Continuing enhancements to bring ongoing improvements for the admin user:
  • Admin screens for enrichment module - Admins can now turn off/ turn on speech to text component during an ingestion workflow.  This provides additional control to the customer on the use and consumption of enrichment components.
  • Ingestion time stamps and states provides information to the customer admin about recent ingestion cycle and next ingestion with the use of  time stamps.  Proving time and ingestion cycles and improving usability.

February 2025: What’s new in OpenText Aviator Search CE 25.1

The Aviator Search CE 25.1 release includes enhancements to Q&A, error log improvements for admins and many other additions. The main improvements in this release are listed below:

Identifying the in-house expert

Customers conduct Q&A as normal, now with the ability continue analysis with the best person in your organisation and return to their work better informed.

• Expert Identification added, ranking the authors of the top reference documents based on the initial search.
• Arrive informed with the list of content that gave you the answer and the details of the best person to continue the conversation.
• Add people to data by listing out the content authors in the people tab, allowing you to discover the value of your data by its author not just its location and relevance.

Identifying relevant part of a document

Customers conduct Q&A as normal, now with the ability to see the most important chunk of information used to synthesize the answer highlighted in the reference document.

• Strengthens the evidence pattern by allowing users to understand how an answer is generated.
• Benefits all user types regardless of whether a knowledge worker or a search analyst using Aviator Search.

Admin UI enhancements for error logging

Continuing enhancements to bring ongoing improvements for the admin user.

• New error log page adding a centralised location for easier error viewing and tracking.

November 2024: What’s new in OpenText Aviator Search CE 24.4

The OpenText Aviator Search CE 24.4 release includes various functional and performance improvements, new connectors, file format support and many other additions. 

The main improvements in CE 24.4 are listed below: 

Out of the box connector support

New connectors added for OpenText Content Management, OpenText Documentum Content Management, OpenText Core Content Management, Microsoft OneDrive and The Google Cloud Platform file system.

New connectors to allow customer to collect additional content from Off Cloud and On Cloud repositories, allowing organizations to take their first steps into GenAI. 

• Reduced ESG impact with no need to relocate, you can save costs and with no need to replicate, and save on any ESG expense 

• Safe for Secure verticals who cannot or do not want to place any of their content into the public cloud. 

• GenAI power to local data by allowing access to local content but with a secure index in Aviator Search with trusted link to Google’s LLM. 

Bookmarking a Question

Customers can do Q&A as normal but if interrupted they have the ability to bookmark where they are and then return to that work later. 

• Overcome the challenge of constant changes in requests and requirements in day-to-day work, leaving users half-way through many differing tasks.  

• Access to previous analysis with a streamline process to produce waypoints within work. 

• Pick up where you left off discover increased productivity with the ability to return to an enquiry at the point you left, with no need to restart.  

Admin UI enhancements for error logging 

• Trap Error messages that are exposed in the Admin UI 

July 2024: What’s new in OpenText Aviator Search CE 24.3

Business users have a growing need to rapidly obtain direct answers from their enterprise content in order to complete their work. With no natural language search available across content, they are unable to easily search all content sources and obtain accurate answers fast. Instead, they spend cycles on repetitive tasks or waste hours trying to locate the content they have already been working on. In some cases, upgrading their content platform to a recent version is not a commitment IT has made, yet the business wants to leverage GenAI now.

Aviator Search can now offer a wider reach to your existing data outside of your OpenText platform, allowing you to search through enterprise data securely and across all repositories and data types (structured or unstructured, text, social). This new GenAI solution empowers organizations to untap the rich knowledge and connections hidden in their content.

The Aviator Search 24.3 release includes various functional and performance improvements, new connectors, file format support, and many other additions.

The main improvements in version 24.3 are listed below:

OOTB connector support

• Microsoft Teams, Extended ECM, Documentum and Microsoft SharePoint Online – New connectors to allow customers to collect collaborative video meetings/chats for retrospective analysis and/or content retrieval.

Simple Admin UI for managing ingestion workflows

• Customer admins can start/stop an ingestion workflow, as well as delete a repository or define new one. 

Q&A on Teams chats and recorded meetings

• Customers can do Q&A on the transcripts of meeting recordings and chat documents. Customers can also view the recording in an in-app viewer.

• All pronouns and references in the questions are resolved and a rephrased question with resolved pronouns is shown to the end user to have more clarity on what question is being answered by Aviator Search.

Focused investigation

• Customers can focus their research or investigation within a specific individual document and quickly understand lengthy content.

Single document retrieval search

• Customers can now retrieve a single specific document. E.g. Get me the release notes of Aviator Search 24.3.

Re-direction to source system

• Users can now redirect their search back to the source repository or system for a reference document, allowing users to then use the native interfaces on that file.

Suggested follow-up questions

• To help keep the conversation going, Aviator Search suggests follow-up questions based on the active conversation.

The post What’s new in OpenText Aviator Search  appeared first on OpenText Blogs.

OpenText™ eDiscovery (Axcelerate) is a flexible, powerful, end-to-end eDiscovery and investigations platform that helps legal teams get to facts that matter sooner and inform case strategy.

OpenText™ eDiscovery CE 25.2: Introducing eDiscovery Chronology for enhanced evidence organization

We’re excited to announce the latest update in OpenText eDiscovery CE 25.2, introducing a powerful new tool that transforms how legal teams organize and analyze evidence. Here’s what’s new:

OpenText eDiscovery Chronology

In modern litigation and investigations, organizing massive volumes of digital evidence chronologically to understand the who, what, where, and when of a matter can be daunting, labor-intensive, expensive, and potentially risky. The new OpenText™ eDiscovery Chronology addresses this challenge head-on. 

This interactive chronological narrative building tool helps legal teams track, organize, and analyze evidence by date—with full control of event metadata and complete audit trail capabilities. With Chronology, legal teams can leverage technology to streamline an otherwise manual task and quickly gain a clearer understanding of the sequence of events that may make or break a case. 

With integrated visual Chronology, legal teams can: 

• Easily identify potential gaps or inconsistencies in evidence earlier, reducing risks and unpleasant surprises 
• Save time by organizing events and facts without having to copy and paste text and link documents in Excel, Word, or third-party software 
• Quickly zero in on specific events or facts at any time, for faster, easier, and more thorough client reporting, early case assessment, and preparation for depositions, hearings, settlement discussions, and trial 

Chronology is a key feature that has been frequently requested by our customers and represents a significant enhancement to our platform’s capabilities.

In addition to the new Chronology feature, OpenText continues to release enhancements to our existing capabilities.   

OpenText eDiscovery Aviator Key Document Summary – Now exportable! 

Initially released in April 2024, Aviator Key Document Summary empowers legal teams to create an AI-generated summary of key documents, complete with links to the documents, for improved document review efficiency and rapid insight into the case.  Now with CE 25.2, legal teams can more easily share document summaries with team members and clients with the ability to export Key Document Summaries, complete with working document links. 

Aviator Review – More intuitive than ever 

In our ongoing effort to increase efficiency and automate first-pass review, we have simplified the OpenText eDiscovery Aviator Review process to two simple steps:  

1. Input your review criteria 
2. Identify the designated document set on which you want Aviator Review to run

It is really that easy, and after the Aviator results are returned, legal teams have the option to quickly QC the document set using the “compare with human review toggle” and selecting the coded review field to be used for comparison. 

Expanded bulk redaction capabilities  

Accurate and consistent redaction of privileged, confidential, or sensitive information across all document formats is a critical component for reducing production risks.   Inadvertent production of privileged or sensitive information is a legal team’s worst nightmare.  As the type of data involved in litigation and investigations continues to become more diverse—going far beyond email and Word documents—it’s essential that bulk redaction tools keep pace.  That’s why we’re pleased to expand OpenText eDiscovery bulk redaction to support the chat-specific redaction view.  We have also added support for Social Security Number patterns in the Bulk Redaction wizard for the native Excel viewer, the audio/video viewer (Cloud only), and the HTML chat viewer.  

 Additional new redaction capabilities include: 

• New “change redaction” functionality for the near native Excel viewer, the audio/video viewer (Cloud only), and the HTML chat viewer
• The ability to centrally manage the addition and deletion of redaction reasons from within the Review & Analysis module
• The addition of a dedicated Regular Expressions (RegEx) tester to support users writing their own customized RegEx for bulk redaction
• An improved RegEx pattern search for birthdates

These updates in OpenText eDiscovery CE 25.2 represent our ongoing commitment to providing powerful, user-friendly tools for modern eDiscovery workflows. By introducing new functionality and enhancing existing key features, we’re responding to our most frequent customer requests and helping legal teams work more efficiently and effectively than ever before, delivering better outcomes for their clients and organizations. 

OpenText™ eDiscovery CE 25.1: Expanding capabilities and streamlining workflows

We're excited to announce the latest updates in OpenText eDiscovery CE 25.1, delivering enhanced GenAI functionality, improved redaction tools, and new data integration features. Here's what's new:

Transparent GenAI decision-making

Understanding OpenText eDiscovery Aviator Review document categorization just got easier with the new "Aviator Review last reasoning" field. Users can now view the LLM's reasoning directly in the results list alongside the "Aviator Review Results" column. This transparency enhancement enables better oversight of the review process, and the reasoning data can be exported for further analysis or documentation purposes.

Enhanced OpenText eDiscovery Aviator GenAI functionality

Our OpenText eDiscovery Aviator functionality, including Aviator Review, Aviator Summarization and Key Document Summary, has been upgraded to handle larger documents with greater efficiency.  At CE 25.1 enhanced chunking technology enables support for documents exceeding 180,000 tokens (approximately 60 pages) allowing legal teams to analyze and summarize lengthy documents without limitations.

Advanced redaction capabilities

We've reimagined our automated redaction functionality to provide an even more intuitive experience. The global redaction wizard has been rebuilt with user-friendly improvements.

For Cloud customers we've also extended support to the near native Excel viewer as well as the audio/video viewer and added the ability to hide redacted rows, columns, and sheets in Excel files during production, offering greater control over sensitive data management.

Enhanced audio/video timeline analysis (cloud only)

The media viewer now offers sophisticated speaker segmentation capabilities for audio and video files processed after the 25.1 release. Users can view audio streams separated by individual speakers in the timeline view, along with the ability to filter transcripts by specific speakers. This enhanced functionality makes it easier than ever to navigate and analyze audio/video content, particularly in cases involving multiple participants or lengthy recordings.

LaunchPad self-service Microsoft Exchange Online (M365) cloud connector (cloud only)

Streamlining data collection processes, CE 25.1 introduces direct self-service crawling capabilities for M365 data to Cloud applications. This new feature eliminates the time and hassle of extraneous data export and loading enabling legal teams to access critical cloud data with unprecedented ease and flexibility. To ensure M365 data remains secure this new feature incorporates secure authentication management through the new LaunchPad Source Systems page and integrates with AWS Secret Manager for secure credential storage.  

These updates in OpenText eDiscovery CE 25.1 represent our ongoing commitment to providing powerful, user-friendly tools for modern eDiscovery workflows. By expanding AI capabilities, enhancing redaction tools, and streamlining data integration, we're helping legal teams work more efficiently and effectively than ever before.

December 2024 (24.4) What is new in OpenText eDiscovery (Axcelerate) 24.4 

We’re thrilled to announce the latest updates in OpenText eDiscovery CE 24.4, designed to enhance your e-discovery workflows with powerful new features and improvements. Here’s a closer look at what’s new:

New OpenText eDiscovery Aviator Summarization (cloud only)

Introducing OpenText eDiscovery Aviator Summarization.  Powered by generative AI (GenAI), this document summarization functionality leverages deep learning to interpret and synthesize information from lengthy documents, providing concise summaries that help users quickly grasp context and implied meanings. With GenAI summarization, you’ll uncover deeper insights faster than ever before.

Improved OpenText eDiscovery Aviator Key Document Summary (cloud only)

With the latest enhancement to Key Document Summary, users can access the documents referenced in the AI-generated consolidated summary using a new link that displays at the bottom of the Key Document Summary panel.

Near Native Excel Viewer (cloud only)

We’re making it easier than ever to handle Excel documents with the Near Native Excel Viewer. Users can now produce redacted Excel files in both PDF and image formats, providing greater flexibility and convenience when working with sensitive data.

Enhanced audio/video (AV) transcriptions (cloud only)

See who is speaking!  With CE 24.4, new AV transcriptions automatically include generic speaker identification to make transcript review easier and faster. Other key AV transcription enhancements include the ability to filter the redaction list by redaction reason and redaction type.

Custodian Merge (cloud only)

The new Custodian Merge functionality in LaunchPad allows users to quickly remedy errors or inconsistencies in custodian names or profiles made during data loading. This feature simplifies the process, ensuring that your custodial data is always accurate and up to date.

PDF document splitting

Managing large PDF documents just got easier! Users can now select a subset of pages from a single PDF file to create sub-documents. This feature comes with tracking capabilities and the ability to delete sub-documents, giving you greater control over your data.

These updates in OpenText eDiscovery CE 24.4 are designed to enhance productivity and streamline your legal workflows. We’re committed to continuously improving our platform to meet your needs. Explore these new features today and experience the future of e-discovery!

July 2024 (24.3): What is new in OpenText Axcelerate 24.3 

Enhancing the power of Axcelerate with Aviator for GenAI Review    

With Cloud 24.3 OpenText provides Axcelerate Cloud users with the opportunity to revolutionize their review process with Aviator GenAI review.   

eDiscovery Aviator Review functionality 

Harnessing the power of large language models (LLMs), Aviator Review analyzes and categorizes large volumes of documents as responsive or non-responsive based on the input of plain language review criteria to help reduce the time and cost associated with traditional first-pass responsiveness review. Using the intuitive review criteria window, users can create and refine review instructions without legal prompt engineering expertise.  

Aviator Review also helps to control the cost of e-discovery projects by providing users with a cost estimate for each selected data set before they run it. Users can refine review criteria against smaller subsets of data as many times as required and adjust the criteria until it returns optimal results. When users are ready to run the refined review criteria against the entire corpus of the data, Aviator Review provides a comprehensive estimated review cost. 

Aviator Review can be used as a standalone tool or in conjunction with the Axcelerate technology-assisted review (TAR) protocols.    

Other Axcelerate enhancements at 24.3 include: 

Mass edit functionality  

For increased efficiency and tracking, Axcelerate now allows Case Managers and Investigators the ability to mass copy, replace, append, prepend, or use search and replace to modify field values. 

Enhanced end-to-end audio/video (A/V) workflows Axcelerate helps legal teams manage the complete lifecycle of A/V files. From ingestion, processing, transcription, searching, viewing, redaction and production, Axcelerate A/V workflows help to improve efficiency and reduce costs when manually reviewing and redacting A/V files. New A/V features include: 

• Modules are loaded individually to improve the viewer load time. 

• Users can jump to specific points in an A/V file by clicking on the corresponding words in the transcript. 

• Opus 2 support for redacted A/V files. 

LaunchPad   

The 24.3 release of LaunchPad offers faster scaling for batch processing in AWS so legal teams can get to review faster.  

Improved Excel Viewer*   

For CE 24.3 we are migrating to a new near native Microsoft® Excel® viewer service that is centrally hosted in each AWS region. The new service adds these additional Excel features: 

• Search within the document from outside of the viewer, with search hit highlighting support. 

• Sheet name redaction. 

• Ability to edit redactions. 

• Improved find and redact. 

• Support for Excel in Near Native view in Investigation applications. 

April 2024: What's new in OpenText Axcelerate 24.2

Introducing the extraordinary power of OpenText Aviator for Axcelerate  

With Cloud 24.2 OpenText provides Axcelerate Cloud users with the opportunity to leverage Generative AI for case and concept label summarization

Building on a long tradition of incorporating AI and machine learning to speed document review OpenText is thrilled to introduce the next generation of AI-enhanced productivity - Aviator for Axcelerate.  Aviator for Axcelerate enables users to create AI-generated summaries of key documents and concept group labels for improved document review efficiency and rapid insight into the case.  Leveraging the power of large language models (LLMs) Aviator for Axcelerate creates a summary of key documents, complete with document ID citations to enable users to confirm veracity.  Key document summaries help educate review teams for faster and more consistent review and deliver early insight into the evidence to help counsel assess the merits of the case.  Aviator will also assist review teams to rapidly understand concept group labels by providing intuitive plain language summaries within the review interface.

Other recent Axcelerate enhancements at 24.2 include:

• Enhanced Audio/Video (A/V) transcript and text redaction options - Search and redaction of A/V files (both video and transcribed text) is easier and more accurate providing users with the ability to:
  • View redaction overlays in both the viewer and the transcript prior to production
  • Search across timecoded transcript boundaries
  • Find portions of the video to be redacted and view results with a corresponding time stamp
  • Support archive and restore for projects in which the A/V viewer is activated
• LaunchPad enhancements – Self-service data upload and processing is easier and more powerful with additional status messaging and upload capacity (including PST files)
• Custodian management – Sync custodian data between LaunchPad and Axcelerate for greater visibility and control

January 2024: What's new in OpenText Axcelerate CE 24.1

Empower your team with more choice to maximize eDiscovery control and efficiency  

With 24.1, OpenText now provides Axcelerate Cloud users with more choices than ever to leverage the most appropriate TAR workflow to meet the time, risk, and budget constraints of each project and the preferred workflow of your team. 

OpenText eDiscovery solutions have a long history of incorporating artificial intelligence (AI) and advanced analytics to dramatically improve review efficiency and lower costs while ensuring defensibility of process.  For more than 15 years we have been the leaders in Technology Assisted Review (TAR) for eDiscovery.  While first generation TAR (TAR 1.0) relies on subject matter experts to train the algorithm on a sample data set before review begins, second generation TAR (TAR 2.0) allows the review to commence immediately, saving both time and money.  OpenText Axcelerate TAR 2.0, featuring continuous active learning (CAL), learns from all reviewer coding decisions in real time to deliver the most relevant results in the shortest amount of time. Our TAR 2.0 is also paired with a unique contextual diversity algorithm that eliminates the risk of missing relevant documents by surfacing documents from contextually diverse pockets of data.  An intuitive TAR interface and workflows reduce learning curves so your team can uncover the most relevant evidence without delay, and visualization tools allow project managers to easily track the progress of review and accurately estimate time to completion.  

Whether you choose to leverage the familiar Axcelerate TAR workflow featuring continuous machine learning or try TAR featuring CAL and our unique contextual diversity algorithm, you can be confident that you are maximizing efficiency and accuracy of TAR review for every review scenario. 

Other recent Axcelerate enhancements include: 

• End-to-end eDiscovery support for audio and video (AV) files – Get the most efficient review of voluminous AV content.  OpenText’s built-in browser-agnostic AV viewer features intuitive YouTube like navigation as well as the option to transcribe AV materials for simultaneous review of AV content along with transcribed text. Text transcription of AV content enables you to search, code, redact and produce redacted AV content along with traditional text-based files. 
• Side-by-side document comparison – Choose any two documents and Axcelerate will show you all differences between the two documents (even subtle differences) to speed review of near-duplicates as well as conceptually similar documents. 
• Self-service data processing – Choose between traditional white-glove data upload and processing to Axcelerate or our new self-service processing and upload where circumstances require immediate review of relatively small volumes of data. 
• Password bank – Speed processing time and minimize exception files by adding a list of known passwords for use during processing to attempt to decrypt password-protected Microsoft 365 and Adobe PDF documents. 

No matter the circumstances of your case, OpenText Axcelerate offers your team the power to maximize efficiency and minimize risk in every matter. 

July 2023: What's New in OpenText Axcelerate CE 23.2

The latest licensed version of OpenText^TM Axcelerate^TM is out!  This version includes some great additions, including support for Opus 2^TM cloud, document translation for licensed customers of Amazon Translate^TM, decryption during ingestion, undo for bulk tagging, and so much more!  Let’s take a closer look.

New Features for Axcelerate Review & Analysis

Document Production & Bulk Printing.  Both of these features now allow users to select various landscape options.

Visualizer.  Now includes ability to export any of the charts within Visualizer to an image format and its corresponding data to a CSV format.

Global Redaction.  Now includes an option to exclude terms. Checking the box for Exclude Terms will reveal a new section where exclusionary terms can then be entered.

Redactions.  Redaction Reasons and/or redaction associated colors can now be changed across subsets of records.  This option can be found under Manage Redactions on the Actions menu within the Analysis page. 

Once Change Redactions option is opened, a pop-up window will appear with the available options for the select records.

Opus 2.  Axcelerate now supports production records being directly ported over to Opus 2 cloud.  Once Opus 2 has been configured to connect with Axcelerate, Case Managers can then port production records over within Axcelerate via the Actions menu within the Analysis page.

A pop-up window will then appear with options for this job where the Case Manager can select production output and metadata.

Documents sent to Opus 2 can be identified via the Sent to Opus 2 Smart filter under Work Product.

Magellan Business Intelligence.  Now includes a Data Progress Report that provides a filterable report on all data sets by custodian with details as to document counts and size.

Business Intelligence also now allows for sharing custom dashboards.

Machine Translation.  Axcelerate now has the ability to generate machine translations for customers with Amazon Translate licenses (translations via Veritone is also still available).  Once Amazon Translate has been set up, case managers are able to enable it for their projects and select a target langue for translation.  Please see your OpenText Program Manager for further details.

RegEx Pattern Search.  This feature has now allow users to define pattern searches across the addressee fields as well as the Title field.

New Features for Axcelerate Ingestion/ECA

Decryption.  7-zip, office, and PDF files can now be decrypted during ingestion when a list of potential passwords is provided within the Data Source configuration node.

Parsers

Encase Parser.  Now supports chat data from MS Teams and Slack.

MS Teams Parser.  Now supports the export of Channel names, redactions, edit dates of messages, message deletions, and Urgent and Important flags.

Connectors

MS Teams Connector.  Now supports:

• the inclusion/exclusion of all channels of a Team by leaving the channel value empty. A row with a channel name supersedes a row without a channel name; and
• extracting meeting details (start time, end time, duration, initiator).

Outlook for Mac Connector.  Now supports 2016 and 2019 Outlook versions.

MS Sharepoint Connector.  Now supports indexing metadata of Recycle Bin items.

New Admin Features

OCR.  OpenText MindServer Admin^TM now allows for changing the language group that will be used by OpenText Capture^TM.  This allows for changing character sets used for OCR to accommodate multi-language data sets.

PostgreSQL. Previous version has been upgraded to version 14 with backport available to 22.4.

Undo Tagging Operations.  Administrators can now use a command-line (undo.bat) to undo bulk or single tag operations.  This operation is tracked within both the Jobs Processing Smart Filter and Document History detail.

Performance

Did you know… Axcelerate has made substantial improvements to performance over the last few years?  See below for more details:

October 2022: What's new in OpenText Axcelerate CE 22.4

In litigation, investigations and regulatory compliance matters, legal teams are under intense pressure to deliver superior results on time and within budget. Staying on top of concurrent matters requires the ability to see the overall status of projects, individual reviewer progress, and the progress of key processes such as overturn tracking and reconciliation. These insights are critical to staff projects effectively, forecast and meet deadline dates, and minimize rework by identifying bottlenecks and catching review discrepancies early. 

OpenText Axcelerate 22.4 introduces a new reporting framework based on the Magellan Business Intelligence and Reporting (MBIR) platform. All business intelligence (BI) reports have been transformed in the new platform with additional insights available. Common custom dashboards centered around review productivity will now be available by default in all projects.  

CE 22.4 also includes a new user audit logging report so review project managers can monitor review activity by user.  

The integration of MBRI eliminates the need for custom configuration of dashboards, enhances usability and provides deeper insights within individual reports with more robust menus. Axcelerate’s new reporting platform is also delivered at no additional costs – clients no longer need to pay for third-party licenses for the legacy reporting features (Qlik).  

Additional enhancements with Axcelerate CE 22.4 include: 

• A new collector for Slack data to improve collection, ingestion, processing and review efficiency of Slack data for inclusive review; 
• The on-premise availability of the advanced chat viewer for chat support (introduced in Axcelerate OnDemand in CE 22.2); and, 
• Support for the EnCase EX01 file format to enhance ingesgtion and review all relevant data, whatever the source.

April 2022: What's new in OpenText Axcelerate CE 22.2

The requirements to collect data inclusively across all sources are more pronounced than ever. The need to include data from smartphones, including chat data is now prominent for litigation and investigations.

Support for the XRY parser

Axcelerate 22.2 introduces support for the XRY parser as an additional tool for collecting smartphone data for use by legal teams to support litigation and investigations and for use by policing and investigative agencies conducting criminal or regulatory inquiries. Supported data types include SMS, MMS, loose files, chat, geolocation data and browsing data including history and searches.

Enhancements to the Cellebrite parser

The Cellebrite parser, first supported within Axcelerate in July 2021 has also been enhanced to include geo location data, browser data, and notes. Other Cellebrite enhancements include that SMS/MMS exchanged with the same participant are now consolidated in one chat and each voice call is now displayed as a separate document. 

Additional features in Axcelerate 22.2 enhance the protection of sensitive data and the ability to audit overturns.

• RegEx pattern editing – Customize existing pre-configured RegEx patterns by editing an existing pattern instead of creating from scratch. This allows custom patterns to be fully supported with their own search filter by replacing an existing pattern that is already embedded in the search filters to streamline the detection and redaction of sensitive data to aid compliance with data privacy laws, improve PII detection for subject rights requests including DSARs and identify affected data in breach response investigations.
• Overturn reporting links to source data – Derive maximum value from overturn reporting by viewing the overturned documents in the results list to see the specific tagging changes. Filter by individual reviewer and key criteria including privilege, responsiveness and issues to see where overturns are occurring to catch issues early and avoid rework later. Instead of just seeing that overturns have occurred, the source data can be easily accessed and audited for enhanced insights.

January 2021: What’s new in OpenText Axcelerate CE 21.4 

Greater accuracy in detecting personal data is more important than ever due to cyber security threats, such as data breaches, data privacy mandates and escalating regulatory compliance requirements. To mitigate risk to the organization, swift and accurate identification of personal data is critical. However, many organizations approach it ad hoc, necessitating an efficient approach. 

Axcelerate CE 21.4 introduces enhanced RegEx for easier, faster and greater accuracy in PII detection: 

• RegEx has been decoupled from the redaction utilities for more direct access within Axcelerate 21.4. The number of pre-configured strings for personal data have been expanded. This makes it faster and easier to discover and redact sensitive data within the review process to avoid passing unredacted personal data to opposing council, to find and isolate personal data involved in data breaches, to redact the data of third parties as part of subject rights requests, and more.  

Additional features in Axcelerate CE 21.4 designed to improve review efficiency and drive down the cost of eDiscovery include: 

• Overturn reporting to expedite review by helping case managers to catch coding inconsistencies early on to standardize coding decisions and avoid significant rework later.   
• Chat attachment previews to address the fact that opening individual documents to assess their content is among the most time-consuming of review tasks. Chat attachment previews allow reviewers to focus their time on attachments that appear to be relevant and avoid time inspecting attachments that are not relevant thereby substantially improving chat data review efficiency. 

June 2021: What's new in OpenText Axcelerate CE 21.2

Legal teams and law firms are under pressure to contain the cost of eDiscovery against rising data volumes and new forms of data such as chat. Axcelerate CE 21.2 provides enhanced control and automation to start review sooner and enhanced chat, data sorting, and batching capabilities to complete review faster.

Update 1: Enhanced control and automation to start review sooner

Driving down the cost of eDiscovery requires a holistic approach to eliminating process lags and maximizing efficiency across all stages of a project. Axcelerate CE 21.2 introduces enhancements to improve control and automation of left-side tasks on the EDRM to get to review sooner:

• Customize project welcome emails to better provide context for reviewers (available for Axcelerate OnDemand and Private Cloud);
• Run searches as jobs to keep working while large searches run in the background; and,
• Automatically decrypt Azure® RMS data via the Microsoft® Information Protection SDK® to quickly expose this data for processing.

Update 2: New tools to complete review faster

Review comprises 70% of total eDiscovery project costs. Every capability that helps speed the review process has a material impact on containing costs. Axcelerate CE 21.2 includes the following features to complete review faster:

• Sort data by word count to better eliminate non-relevant data such as images with alt text; and,
• Group batches by any data field to better align data to the expertise of individual reviewers.

Update 3: Tame unwieldy chat data

Reviewing chat data can take significantly longer than other forms of data because of its volume and structure. Axcelerate CE 21.2 introduces new capabilities to review chat data faster with greater precision:

• Break down chat histories into manageable blocks of time to narrow the volume of data that requires review and make review easier;
• See chat attachments such as links, images and audio/video files to include related data faster; and,
• Connect loose chat files for easier inclusion.

Axcelerate drives down the cost of eDiscovery through analytics and automation. Axcelerate CE 21.2 builds on these capabilities to further help legal teams and law firms to streamline processes before review can begin and to help speed review processes as well.

For more information please visit the OpenText Axcelerate product page, the OpenText Discovery page or the Axcelerate – driving down the cost of eDiscovery video.

March 2021: What’s new in OpenText Axcelerate CE 21.1

Update 1: Axcelerate Investigation drives faster and richer ECA – now available OnDemand  

The Axcelerate Investigation platform–first released in October 2020 and part of the integrated OpenText™ Axcelerate™ investigation and eDiscovery solution–goes beyond traditional ECA tools to assist teams to find the facts quickly for active or anticipated litigation and investigations. Axcelerate Investigation combines robust collection, processing and culling with powerful front-loaded analytics in a single solution. Legal teams gain early insight into their data leveraging advanced analytics, minimize resources and costs, and maximize efficiency. A single platform, Axcelerate Investigation reduces potentially error-prone data transfers common with multiple point solutions and also reduces–or eliminates altogether–time-consuming and costly downstream document review costs. When full review and production of data is warranted, all data and work product can be automatically uploaded directly from Axcelerate Investigation to Axcelerate Review & Analysis OnDemand.

Update 2: Axcelerate Visualizer Heat Maps introduce multi-factor visual analytics

Axcelerate Visualizer, first introduced in October 2020, brings data analytics into focus for rapid insight into matters of all sizes and complexity. Axcelerate Visualizer Heat Maps expand on these capabilities by introducing flexible visual associations amongst analytics tools for greater visibility into the relationships, patterns and anomalies within the data.

Axcelerate Visualizer Heat Maps expand on these capabilities by introducing flexible visual associations amongst analytics tools for greater visibility into the relationships, patterns and anomalies within the data. Visualizer Heat Maps present new opportunities for insights that were previously impossible, or highly manual and time-consuming to derive. For example, reviewers can see file types overlaid with MIME types, or file sizes etc. for a multi-dimensional understanding of data or fact versus opinion ratings can be superimposed by custodian to better understand which custodians are prone to unsubstantiated assertions, and more.

Update 3: Near native Excel, additional efficiency enhancements and expanded connectors

Axcelerate CE 21.1 also introduces the integrated conversion of Excel files to expedite and simplify the review and redaction of this often-critical file type. Axcelerate CE 21.1 adds extensive and flexible redaction capabilities to help assure that privileged, personal or other sensitive data within Excel files can be effectively remediated with greater ease and assurance.

Other review efficiency enhancements in Axcelerate CE 21.1 include new tools for reviewing data in context so reviewers can choose how they want data to be ordered (e.g. by Bates number), and enhancements to the review progress and reviewer productivity reports so project leads can better deliver projects on time and within budget. Axcelerate’s extensive data source connectors have been expanded further with CE 21.1 – new connectors for WebDAV™ / Druva™, Google™ Calendar™, Google™ Cloud Storage™ and AWS™ S3™ have been added.

November 2020: What’s new in OpenText Axcelerate CE 20.4

Update 1: Axcelerate Investigation drives faster and more comprehensive early case analysis

With an increase in regulations, ESI types and data volumes, and data privacy mandates, efficiently assessing data and finding the information that will tell the story quickly yet comprehensively is critical to making decisions early on to manage costs and risk.

The all-new Axcelerate Investigation platform, part of the integrated OpenText™ Axcelerate™ investigation and eDiscovery solution, goes beyond traditional ECA tools to find the facts quickly for active or anticipated litigation. Axcelerate Investigation drives effective early case assessment and analysis by combining data collection, processing and culling capabilities with front-ended analytics to swiftly find facts and patterns for rapid insight and decision-making. These include stackable metadata filters, powerful text analytics and predictive analytics. If a full document review is warranted, data can be transferred seamlessly to the full Axcelerate cloud.

Axcelerate Investigation is also ideally suited to support a broad range of other types of investigations such as compliance, human resources, M&A due diligence, C-suite vetting and more.

Update 2: Axcelerate Visualizer further streamlines workflow

Axcelerate’s new Visualizer dashboard brings data analytics into focus for rapid insight into matters of all sizes and complexity. The new feature allows reviewers to expedite the ability to drill into the analytics faster to find facts and uncover responsive data with greater speed and precision. Axcelerate Visualizer incorporates communications, custodians, file mime types, office flags, phrase analytics, and more.

Axcelerate Visualizer is highly customizable. Reviewers and investigators can choose what data is displayed, how data is presented (e.g. bar graph, pie chart, etc.) and the level of detail for each vantage point into Axcelerate’s analytics. Axcelerate Visualizer is available across the Axcelerate platform including Axcelerate Investigation and Axcelerate Review and Analysis.

Update 3: Axcelerate introduces support for chat

With an increasingly remote workforce, chat has become a prolific part of organizational communications. Axcelerate CE 20.4 introduces the ability to parse data from chat platforms by transposing the data to align to the Axcelerate chat format.

Once ingested into Axcelerate, chat data and related content such as reactions and edits are displayed in a familiar chat style layout for easy review. What’s more is that Axcelerate treats chat like any other potentially critical data. Chat data is integrated into Axcelerate’s smart filters with its own dedicated filter and analyzed in tandem with all other data as part of concept groups, phrase analysis, text analytics and predictive analytics.

Axcelerate CE 20.4 includes a pre-configured parser for Microsoft® Teams® and a generic chat parser for virtually any other chat platform. Additional pre-configured parsers will be rolled out with subsequent releases.

Update 4: Additional reporting, usability, performance and connectors

Axcelerate CE 20.4 also includes new reports to quickly assess reviewer productivity and review progress to improve the ability to manage projects and address bottlenecks. PST extraction has also been enhanced for improved speed and reliability and export templates have been introduced to reduce effort on repeated workflows with similar criteria. New connectors for Gmail™ and Google™ Drive™ are also included to expand Axcelerate’s reach across data sources.

April 2020: What’s new in OpenText Axcelerate Cloud Edition (CE) 20.2

Update 1: New UI simplifies navigation

The new UI provides more than a usable interface. It surfaces contextual insights in a highly visual display that is easy to navigate and allows reviewers to quickly understand the content under review.

Update 2: New entity identification with OpenText Magellan integration

Axcelerate Release 16 EP7 introduced integration with OpenText™ Magellan™ text analytics for sentiment analysis and automated entity identification for people and places. Auto-identification and extraction of entities (organizations) help reviewers answer “who” and “where” questions and home in on relevant content faster.

Enrichment jobs now automatically enhance documents for sentiment and all types of entities with a single operation. In addition to sentiment tonality pie charts, sentiment indicators are automatically ranked within documents so reviewers can zero in on the top positive and negative statements within each document. Statements are also rated as to whether they are based on opinions or facts to help reviewers assess the voracity of interesting comments.

Update 3: Automated document summaries powered by Magellan

Automated document summaries make the efficient review more efficient, eliminating the need to open individual files and review them to figure out what they are about. Individual sentences are assessed within each document and the most representative content is assembled into a concise paragraph for quick insights.

Update 4: “Find more like me” with Predictive Search

Axcelerate’s new Predictive Search provides a “find more like me” capability to easily home in on relevant content. Documents that are known in advance to be highly relevant, or the best exemplars uncovered in initial search results, are compared against the entire corpus to quickly surface documents with similar content. Predictive Search can also be used as a QC tool to quickly assess whether the final discovery set is inclusive of all relevant content.

Update 5: Negative proximity operator

The new negative proximity operator is a powerful tool for isolating homonyms and terms that often appear in signature lines, such as attorney-client privileged, enhancing efficiency and search effectiveness by reducing, or eliminating altogether, false positives, thus minimizing the number of documents that require review. Reviewers can stipulate that keywords have to be within a specified number of words to other keywords to be surfaced as a positive hit, substantially reducing false hits.

Axcelerate CE 20.2 delivers an intuitive UI with simplified navigation and Predictive Search, enhanced entity extraction, document summaries, and a negative proximity operator each of which contribute to review efficiency. Together they deliver a multiplier effect to further elevate Axcelerate as a leading end-to-end eDiscovery solution on a single platform.

Previous updates

November 2019: What’s new in Axcelerate, EnCase eDiscovery, and Decisiv Release 16 EP7

July 2019: What’s new in Axcelerate and EnCase eDiscovery Release 16

Learn more about eDiscovery

The post What’s new in OpenText eDiscovery appeared first on OpenText Blogs.

Dear Santa,

We hope this letter finds you well at the North Pole! We know you're probably busy reviewing your Naughty and Nice lists, which honestly reminds us why we’re writing to you today. As legal professionals embracing digital transformation, our wish list is a bit different this year.

After reviewing the GigaOm eDiscovery Radar report and witnessing the latest GenAI innovations in eDiscovery software, we’ve got our sights set on something special: OpenText’s comprehensive eDiscovery and Legal Solutions

We know, we know – it's not as exciting as PlayStation 5, but let us tell you why it would make our year magical!  We struggle with supporting the entire eDiscovery lifecycle across what we call the Electronic Discovery Reference Model (EDRM) and OpenText provides the perfect solution.

Automated legal ho-ho-hold software: The gift of compliance  

First off, Santa, just as you make lists and check them twice, we lawyers must do something similar with legal holds, and it's absolutely exhausting doing it manually. OpenText has this amazing automated legal hold software that would save us from drowning in paperwork and help to better track individuals required to be on a legal hold. Not to mention, the solution would allow us to integrate with existing systems to make the process even more seamless. Think of it as your magical nice list checker, but to support our obligation to preserve data and stay off the naughty list.

AI-powered eDiscovery solutions: Modern legal magic  

Just as your workshop embraces innovation, modern legal teams need advanced eDiscovery solutions. OpenText eDiscovery software leverages cutting-edge AI to help us find the critical facts hidden within mountains of digital data. It's like having a team of tech-savvy elves working around the clock and being able to always quickly find and produce all those Christmas gifts in your sleigh as you are heading for the chimney!

Some of the OpenText eDiscovery “magic” includes:

• Technology-assisted review with continuous active learning for precise document review
• Generative AI capabilities for intelligent document review and analysis
• Advanced analytics for rapid insight
• Scalable infrastructure capable of handling massive datasets

eDiscovery managed services: Your expert support team  

Speaking of elves working around the clock, what if a postal backlog meant that you received millions of additional letters on December 23^rd?  You couldn’t just let those children face disappointment, right?  Sometimes we have that same challenge, Santa.  

Thankfully OpenText, has a team of experts who provide:

• Comprehensive eDiscovery and project management support
• Data collection and forensics
• Managed document review
• Specialized investigation services

Knowledge management

You probably understand the importance of knowledge sharing too, Santa. I mean, you must have quite a database of toy-making techniques up there! That's another thing on our wish list – OpenText's knowledge management system would help our legal team share information just as efficiently as your elves share cookie recipes. 

OpenText integrated knowledge management capabilities enable teams to:

• Improve knowledge management efficiency
• Deliver better client services
• Automate knowledge sharing
• Work anytime, anywhere

The complete eDiscovery and legal solutions package

Speaking of recipes, there are many kinds of technology to try. OpenText has been in the information management business for years. Not to get greedy, but with a full suite of solutions for document management, records management, compliance, and even business process automation, we may be reaching out for next year to enhance our document lifecycle management needs.

So, Santa, when you and Rudolph and the team are on your way, if you could slip an OpenText subscription down the chimney, we promise we'd use it to help make the legal world a better place. We'd be able to work more efficiently, make smarter decisions, and spend less time buried in paperwork – which means more time for holiday cookies!  

To save your elves some time, here is the link where they can learn more about the magic of OpenText eDiscovery and Legal Solutions.

P.S. – If the complete platform is too heavy for your sleigh, we'd be happy to start with just the OpenText eDiscovery solution. Those reindeer have enough to carry already!

Warmest holiday wishes,

Sue Yoo, Attorney at Law and her Team of Talented Attorneys

The OpenText Legal Tech Marketing Team wishes you a Happy Holiday Season!  

Take the next step.  Partner with OpenText for your eDiscovery needs and experience exceptional outcomes.

Be sure to gain valuable insights into the eDiscovery market landscape by downloading the GigaOm eDiscovery Radar report, which offers a comprehensive analysis of available solutions, their capabilities, comparative strengths, and potential challenges. 

The post All we want for Christmas:  An open letter to Santa from a modern legal team   appeared first on OpenText Blogs.

OpenText eDiscovery and Legal Solutions empowers legal teams to thrive in today’s data-driven world—handling any type of data, at any speed, from anywhere. The result? Faster, smarter decisions in litigation and investigations. And don’t just take our word for it. 
 
OpenText™ is proud to be named a Leader and Outperformer in the latest GigaOm Radar Report for E-Discovery. This recognition underscores OpenText’s position as one of the top vendors in the eDiscovery market. GigaOm's evaluation serves as an invaluable resource for legal departments and law firms looking to navigate the eDiscovery landscape and select the right technology. 

Choosing the right eDiscovery provider  

Digital transformation in the legal sector is moving at lightning speed and keeping pace is no longer enough. Lawyers need automation and analytics to identify key facts faster, spot patterns that would be missed manually, and streamline operations and workflows.  
 
Legal teams are under increasing pressure to deliver timely and defensible responses to litigation and regulatory demands. To do this effectively, they need robust eDiscovery tools that can scale quickly and simplify complex workflows, all while reducing costs. These tools are needed to ensure that legal teams can accurately and expeditiously assess the merits of cases, support investigations, and respond to litigation discovery and other production demands in a timely manner.   
 
In today’s legal technology market, eDiscovery solutions are far from a one-size-fits-all solution. They can deliver a very wide range of features that are purposefully built to address specific key stages of the Electronic Discovery Model (EDRM) yet are ill-equipped to perform other tasks.  As the report explains, some solutions provide end-to-end capabilities, while others stick to either the initial stages (identification, preservation, collection, and processing) or the later stages of the model (review, analysis, production, and presentation). How do decision-makers make an informed investment decision?  The GigaOm Radar is one way to better navigate the market and select the right tools for their needs. 

GigaOm Radar overview  

It assessed how well e-discovery solutions were designed to serve specific target markets (SMB, larger enterprise, and law firms) and deployment models.  Other decision criteria included, among other things, a review of key features and provided a snapshot of the technical capabilities of available solutions, defined the perimeter of the relevant market space, and gauged the potential impact on the business.

Let’s take a deeper dive into what the report had to say about OpenText.  

OpenText is a Leader in e-Discovery

As illustrated in the chart below, GigaOm evaluated 19 of the top e-discovery solutions based on capabilities, non-functional requirements, and other key criteria.  The report recognized OpenText as having one of the most comprehensive eDiscovery solutions on the market, outperforming Relativity, Nuix, Reveal, and other software vendors evaluated. It earned its Outperformer status due to its high rate of delivery last year, high release cadence, and a strong roadmap for the coming year. GigaOm also recognized OpenText as one of the most flexible vendors in terms of deployment options (off-cloud, private cloud, public cloud (SaaS), and hybrid) and for its broad coverage of nearly the entire EDRM.

Why OpenText should be on your eDiscovery shortlist  

Analysis, review and automation  

OpenText’s eDiscovery solutions have a long history of incorporating advanced analytics and machine learning to dramatically improve review efficiency and lower costs. According to GigaOm, OpenText earned the highest possible score (5/5) in analysis and review, largely due to its robust Technology Assisted Review (TAR) protocols and visualization tools to show associations within data for deep insight. It also stood out (5/5) for its powerful search capabilities, including unsupervised machine learning and entity detection tools that identify and categorize the names of people, places, and organizations. Plus, OpenText Smart Redaction technology received top marks for applying redactions across documents, against native audio-visual files, and for automated redaction of PII.   

Legal tech with generative AI: supercharge your data  

OpenText eDiscovery Aviator supercharges generative AI to put your data to work for you. With our OpenText eDiscovery Aviator, legal teams can quickly unlock insights and make smarter decisions, regardless of data volume, source, or format—and harness the power of data with an all-in-one solution for AI-driven insights, productivity, and risk management.  GigaOm notes that OpenText provides “automatic identification and AI-generated summarization of key documents, AI-generated natural language summaries of concept cluster labels for intuitive contextual insight, and generative AI review powered by (LLMs).”  

Beyond litigation: governance, compliance and more  

OpenText’s leadership in data governance, regulatory compliance, and enterprise-scale solutions sets it apart in the evolving eDiscovery landscape.  The GigaOm report highlights OpenText’s ability to support specific use cases including “data privacy and subject rights requests to meet regulations such as GDPR and CCPA; data breach analysis and reporting to help assess the impact of a data breach and comply with breach notification rules; and investigations that aim to quickly gain insights into the data in order to deliver the facts for internal, external, and regulatory investigations in a timely fashion.”  Often these activities are aligned with broader initiatives to address content sprawl, content risk, and disposition of content.  As acknowledged in the report, “[u]nlike most of its competitors, OpenText also provides information governance solutions through its content management portfolio.”  

Conclusion  

The legal industry is on the cusp of a massive digital transformation. eDiscovery tools that leverage AI, automation, and advanced analytics are no longer just “nice-to-haves”—they’re essential to staying competitive and improving case outcomes. Speed to insight is the new normal, and managing risk proactively is now a must. Legal teams that embrace these tools with confidence will not only keep up with the evolving landscape but also set the pace for others to follow. OpenText delivers the tools needed to make that leap—from eDiscovery to AI-driven insights, automation, and beyond. 

Gain valuable insights into the eDiscovery market landscape by downloading the GigaOm eDiscovery Radar report, which offers a comprehensive analysis of available solutions, their capabilities, comparative strengths, and potential challenges. 

Take the next step. Partner with OpenText for your eDiscovery needs and experience exceptional outcomes powered by our comprehensive eDiscovery software and advanced Legal AI tools. 

The post OpenText named a Leader and Outperformer in the GigaOm Radar for E-Discovery appeared first on OpenText Blogs.

As we close the first quarter of OpenText’s new financial year, our commitment to driving innovation in information solutions remains unwavering. With most enterprises now adopting multi-cloud strategies to enhance flexibility, reduce vendor lock-in, and improve resilience, OpenText is dedicated to equipping our customers with the tools to excel in this dynamic, data-driven landscape. Our focus continues to be on empowering your competitive edge through Business Clouds, Business AI, and Business Technology solutions that drive innovation, streamline operations, and fuel growth with seamless, automated information management solutions.

Today, at OpenText World 2024 in Las Vegas, we proudly unveil Cloud Editions (CE) 24.4. This latest release builds on our robust cloud, AI, and cybersecurity capabilities, offering the ideal foundation for a secure, efficient multi-cloud approach. In today’s multi-cloud environment, seamless data flow across platforms is crucial for data accessibility, informed decision-making, and uninterrupted operations. CE 24.4 enables organizations to unify digital systems into one cohesive solution, supporting compliant and efficient data movement across complex multi-cloud setups while mitigating risk. By leveraging AI, we’re empowering the next generation of work—unlocking workforce potential to drive more strategic, high-impact outcomes. It’s time to let technology handle the details so your teams can focus on what matters. There is still time to join us at OpenText World or please join us via our virtual live stream - registration is still open.

I am also extremely proud to announce the completion of our Titanium X roadmap, that provides organizations with a comprehensive, resilient foundation for intelligent digital transformation while ensuring strong security and regulatory compliance. We’re dedicated to delivering the technologies and innovations that transform challenges into opportunities in a multi-cloud world.

Following today’s announcement, let’s explore how we are reimagining information to lead the digital future:

New innovations in Business Cloud

Fast-changing work environments can only thrive with secure access to knowledge, an essential requirement for staying competitive. We equip engineers, IT professionals, and teams with integrated, secure technologies designed to simplify operations and boost efficiency, ensuring you can thrive in an increasingly complex digital landscape.

OpenText™ Cybersecurity Cloud

In CE 24.4, OpenText™ Secure Cloud is designed to unlock the full potential of Managed Service Providers (MSPs) by offering modern, user-friendly interfaces and streamlined operations. With enhanced analytics, integrated management, and a simplified ordering experience, this platform empowers MSPs to boost growth and reduce expenses while providing comprehensive cybersecurity solutions to small and medium-sized business (SMB) customers.

By offering flexible, low-cost cybersecurity bundles tailored specifically for MSPs and the SMB market, OpenText Secure Cloud helps consolidate vendors, minimizing the complexity and cost of delivering services. MSPs can easily order, deploy, and manage these solutions through a single intuitive console, allowing them to protect customers with cost-effective, all-encompassing security solutions without sacrificing service quality. This simplicity drives efficiency, enabling MSPs to streamline their security stack while delivering positive outcomes for their SMB clients.

OpenText™ Experience Cloud

In this release, we have enhanced OpenText™ Experience Cloud - a fully integrated, composable portfolio designed to elevate customer experiences and engagement within a unified environment. This empowers organizations to reimagine conversations and customer interactions with advanced capabilities in communications and messaging, customer data and journeys, and secure fax solutions.  

Innovations in CE 24.4, include: 

• OpenText™ Communications (Exstream™), our leading customer communications management platform, now includes improved migration tools and design accelerators to simplify cloud transitions and upgraded job management for high-volume communications. Additionally, customer experience leaders can leverage optimized communications orchestration to boost operations efficiency. These updates support businesses to streamline workflows in managing customer interactions, aligning with their goals to modernize both customer experience strategies and technology ecosystems 
• OpenText™ Core Messaging part of an end-to-end cloud-based platform for personalized communications now supports RCS (rich communication services) - whether it’s email, WhatsApp, SMS, web, mobile, or print. This expanded channel offering allows organizations to engage customers through their preferred channels, enhancing their experience with rich media options like images and branded profiles for easy identification. This development emphasizes real-time, on-demand communications, encouraging businesses to deliver tailored, modern experiences that meet customer where they are, every time.  
• OpenText™ Customer Data and OpenText™ Core Journey now offers expanded unified customer data management capabilities, including preference management with real-time, enabling seamless personalization for more tailored, impactful customer experiences. 

Finally, CE 24.4 sees innovations to OpenText™ Core Fax and OpenText™ Fax (RightFax) to transform traditional faxing by offering a secure, private or public cloud-based subscription model, allowing organizations to seamlessly shift from on-premises fax servers without IT disruption. These solutions integrate effortlessly with multifunction printers, electronic medical records (EMRs), and platforms like Webex and Microsoft Teams, ensuring vital communication systems stay fully connected. Designed for industries handling sensitive data - such as healthcare, finance, legal, and government - OpenText’s cloud fax solutions empower global organizations to modernize their fax infrastructure with security and adeptness. 

OpenText™ IT Operations Cloud

To further innovate our IT Operations Cloud offerings, OpenText™ Core Cloud Network Observability is a powerful new addition to our suite of observability solutions, which includes OpenText™ Core Infrastructure Observability and OpenText™ Core Application Observability. Together, these tools equip enterprises with the critical capabilities needed to detect and address cloud performance issues whether infra, app, or network, providing comprehensive visibility to optimize cloud environments and drive business growth.

Let’s break it down:

OpenText™ Core Cloud Network Observability: This new product offers robust cloud network stack discovery, monitoring, and traffic analysis. It enables businesses to visualize their AWS cloud networks through detailed cloud network maps, overlaying performance and application flow data to give a clear picture of network health and performance.

OpenText™ Core Infrastructure Observability: OpenText Core Infrastructure Observability delivers unified observability for multi-cloud and on-premises infrastructure by injecting the root-cause analysis process with analytics and guided workflows. This solution enhances infrastructure content by improving application coverage and integrating with private VMware and cloud clusters, including AWS and Azure. Additionally, it extends content capabilities to MongoDB, further enriching the observability framework.

OpenText™ Core Application Observability: OpenText Core Application Observability offers cost-effective application observability built with native OpenTelemetry. In addition to correlated metrics, logs, and traces, OpenText Core Application Observability enhances the application observability process by integrating with OpenText Core Cloud Network Observability and OpenText Infrastructure Observability to enhance troubleshooting efforts, enabling better incident resolution through a complete understanding of cloud-based networks, infrastructure, and applications.

With this comprehensive solution, businesses can proactively manage their cloud environments, ensuring optimal performance and reliability while cultivating growth in today’s competitive landscape.

Learn More: What is Network Observability?
Learn More: What is Observability?

New innovations in Business AI

Harness generative-AI to help unlock the full potential of your intellectual property. Our AI-powered assistants work seamlessly across large, confidential data sets, ensuring that only authorized individuals access the right information at the right time, safeguarding both security and value.

OpenText™ Intelligence Aviator: Designed to encourage a truly data-driven culture, this innovation starts by empowering enterprise teams to interact with business intelligence data in a more intuitive, user-friendly way. With intelligent LLM-powered capabilities, users can now engage with data through simple, natural language conversations, making the process of accessing, analyzing, and visualizing information far more accessible, even for those without deep technical expertise.

For organizations striving to integrate data-driven decision-making across departments, this tool offers significant advantages. An ecommerce business, for example, needing to quickly assess sales performance across multiple regions, traditionally would require a specialized data analyst to extract and interpret the data. Instead, with OpenText Intelligence Aviator, line-of-business users, such as regional managers, can directly ask for specific data insights and generate instant, actionable results. By simplifying data interaction, OpenText Intelligence Aviator ensures that data becomes a central part of everyday decision-making, making it easier for enterprises to leverage their business intelligence and stay agile in competitive markets.

OpenText™ Content Aviator: Now integrated with OpenText™ Information Archive, OpenText Content Aviator revolutionizes how IT data managers interact with legacy content and archived data. Through an intuitive LLM-powered chat interface, users can easily access, retrieve, and summarize archived data using natural language to uncover relevant insights in a matter of seconds.

With intuitive natural language conversation, users can access rapid answers to unfamiliar archived content, greatly enhancing productivity while assuring sensitive and proprietary information remains secure and adheres to organizational security protocols. OpenText Content Aviator enables smarter, faster, and safeguarded data retrieval from archived systems, making it an indispensable part of the end-user experience when accessing vast amounts of legacy content.

OpenText™ DevOps Aviator: A transformative solution that now harnesses generative-AI and LLMs to automate the conversion of video recordings into manual tests and defect reproduction sequences - completely eliminating the need for coding. This drastically reduces the time developers, testers, and engineers spend creating manual tests, turning hours of footage into actionable tests in just minutes, accelerating project timelines and boosting productivity.

In practice, a software development team troubleshooting a critical bug can quickly generate test cases from recorded user interactions, streamlining defect reproduction. By leveraging the AI-assisted chat feature, teams can also convert AI-generated content into actionable tests using OpenText™ Core Software Delivery Platform, enabling faster iteration with fewer errors. This innovative approach allows teams to focus more on problem-solving and less on manual tasks, delivering higher-quality products faster and ensuring smoother workflows across development cycles.

New innovations in Business Technology

As workloads shift to the cloud, connected data becomes critical. At OpenText, we offer robust, flexible data platforms that can be deployed in private clouds, public clouds, or via APIs, delivering enterprise-grade capabilities no matter the deployment method.

OpenText™ Analytics

OpenText™ Information Intelligence - Thrust API: This new innovation to CE 24.4 brings together the power of OpenText™ Intelligent Classification, and OpenText™ Knowledge Discovery into one single, intelligent solution that allows independent software vendors (ISVs) and businesses to manage, control and prevent sensitive information from being shared inside and outside an organization – a critical asset industries - such as healthcare, financial services, and government - needing to align with stringent personal identifiable information rules and compliance regulations to mitigate risk.

Unstructured data - emails, documents, contracts, and more - often hold sensitive information, but identifying and preventing the sharing of this data can be a challenge. That’s where the Thrust API steps in. By combining AI-powered classification, data analytics, and risk detection into one solution, IT teams can uncover hidden insights, identify anomalies, and preemptively address potential mismanagement of information. Consider a financial services provider handling a high volume of sensitive client information. With traditional methods, identifying potentially risky and sensitive information being shared outside of the organization could be time-consuming and error prone. By using OpenText Information Intelligence – Thrust API, the financial provider can automate this process, ensuring that sensitive content is flagged in real time, allowing the team to address security and compliance concerns before they escalate. This solution is designed to reduce the effort and time required for risk-related initiatives, enabling teams to focus on strategic priorities while maintaining strong data security. In an era where data privacy regulations are tighter than ever, having the ability to analyze and secure unstructured data is not just an advantage - it’s a necessity.

And finally,

I'm pleased to share some exciting news about our latest advancements in security compliance and governance that will benefit our clients across various sectors.

OpenText™ Content Management (Extended ECM), has achieved Protected B certification from the Government of Canada. This significant milestone means that Canadian government organizations can now adopt OpenText Content Management in the AWS public cloud with the confidence that their data and workloads are secure and protected. With this certification, organizations can modernize citizen-facing services and automated workflows - such as grants, benefits, and permitting - ultimately enhancing service delivery and citizen engagement.

Additionally, on September 11, 2024, OpenText received authorization on its OpenText™ IT Management Platform (ITMX) for the Federal Risk and Authorization Management Program (FedRAMP). The IT Management Platform (ITMX) comprises a suite of solutions, including OpenText™ Service Management, OpenText™ Asset Management  , OpenText™ Universal Discovery and OpenText™ Project and Portfolio Management. This FedRAMP authorization provides United States federal agencies with the confidence to utilize OpenText solutions to deliver modern user services, enhance IT productivity, and reduce both risks and operational costs.

Together, these advancements reinforce our commitment to providing secure, innovative solutions that empower organizations to thrive in their respective sectors.

Looking for more?  

For more on all the CE 24.4 innovations, visit our blog as our subject matter experts guide you on the right solutions for your business as you continue to maximise your AI, cloud, and security journey.

The post Embrace AI Knowledge Work with Cloud Editions (CE) 24.4 appeared first on OpenText Blogs.

Legal innovation requires a growth mindset: seeking new ways to solve problems and effectively deliver impact, value, and improve outcomes. Technology continues to evolve, giving legal practitioners new opportunities to up their game and leverage innovation to increase efficiency and efficacy.  Over the past decade, to keep pace with digital transformation, legal leaders have embraced automation and machine learning to optimize operations and improve business outcomes. However, technology is moving at lightning speed, and keeping pace is no longer good enough in a Legal 3.0 world.  

What is Legal 3.0 you say?  What does that mean?  In our recent co-branded white paper with Corporate Counsel Business Journal, we discuss how we are on the brink of this new paradigm, necessitating a fundamental shift in how legal teams deliver advice and services – getting to critical facts faster and improving case strategy.  We explore the unique challenges posed by the Legal 3.0 world, and what legal leaders need to do to successfully navigate this transition.  

This blog goes a bit further. It provides modern legal practitioners with three actionable tips and tricks to maximize the benefits of legal technology, gain greater control over data, and prepare for the AI-driven future that is Legal 3.0. 

Become a tech-savvy attorney  

In Legal 3.0, lawyers need to focus on a different way to interact with technology to achieve speed, accuracy and maximum return on investment.  Now, more than ever, legal practitioners must demonstrate a mastery of technology. In the context of generative AI (GenAI), they will need to fine tune results and responses they expect from prompts and learn to ask questions in a way that increases speed to facts.  As lawyers increasingly interact with GenAI, they will need to develop the skills to ensure they can use prompts effectively to maximize the value of the technology.  They can let the machine take a first cut at issues and then apply legal reasoning and refinement to drive case or investigative strategy.  They must also learn of the risks and issues with AI and how to detect and defend when it is being used. While the thought of mastering new legal tech GenAI technology may seem overwhelming, with the proper tools at your disposal the journey to Legal 3.0 can be simpler than it sounds. 

Develop critical technical partners  

According to a recent survey, 72 percent of general counsel stated that CIOs play a critical or important role in delivering on departmental innovation strategy. Achieving desired departmental goals starts with developing critical partnerships with a variety of technical experts.  With many rules, laws, and procedures in place requiring attorneys (both outside and in-house counsel) to demonstrate a duty of technological competency, they find this particularly critical to keep up with skills required to address issues or that involve the actual handling and use of electronic data and information systems.  If they lack the skill, it is sufficient to consult with experts to assist with leveraging technology to test, adopt, or deliver legal services. This includes data scientists and IT leaders that have a greater mastery of AI standards, applications, and risks associated with managing and using data. And if those roles do not yet exist, steps should be taken to bring in those resources permanently or in a consultative capacity.  

AI-readiness is a process  

By investing in AI-driven solutions and fostering a culture of innovation, lawyers and their teams can position themselves as the leaders of Legal 3.0. They need to take the appropriate steps to investigate the impact of AI, particularly GenAI technologies, and the benefits associated with cost reduction and productivity gains.  Failure will be largely attributed to insufficient testing and validation. Those ready to enter this new world are spending a great deal of upfront time testing AI in real-world scenarios to assess its benefit and reliability for production and investigation reviews.  This includes exploring the potential of GenAI and its relevance or initiating pilot projects to validate its effectiveness in specific areas if those innovators have not done so already.   

Conclusion 

AI, advanced analytics, automation, and integration are necessities, not luxuries. Speed to facts is becoming the norm and managing risk should always be proactive, not reactive. Embracing this new era will require a commitment to continuous learning, innovation, and a willingness to adopt and integrate cutting-edge technologies into everyday legal practice. By doing so, legal teams can not only keep pace with evolution but also lead the way in delivering superior legal services in a rapidly changing world.  

Prepare for an AI-driven future, download the whitepaper: “Journey to a Legal 3.0 world”  

How OpenText can help  

OpenText empowers legal departments to embrace this new era with confidence, enabling them to thrive in a fast-paced, data-driven environment – delivering outcomes with Legal AI tools.  

We are committed to helping our customers on their journey to Legal 3.0, where handling data of any type, at any speed, and from anywhere is essential. Our eDiscovery Aviator – the AI central nervous system of our Smart Legal Platform –offers a competitive GenAI edge. This comprehensive approach to data analytics leverages the power of Large Language Models (LLMs) for crucial legal applications such as eDiscovery. With Aviator, legal teams can quickly unlock insights and make smarter decisions, regardless of data volume, source, or format. By harnessing the power of data with an all-in-one solution for AI-driven insights, productivity, and risk management, legal teams can elevate their potential and fuel business and legal decision-making for better outcomes.   

The post Make the shift to Legal 3.0: The future is today. Unleash your AI potential  appeared first on OpenText Blogs.