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e-Discovery Document Review Machine Learning

Association of Certified E-Discovery...

Three Years In, Has Generative AI Made a Meaningful Contribution to E-Discovery?

Three years used to be a good time frame for assessing the impact of technology on the various processes that drive legal and business outcomes. It’s not entirely clear if that’s a good measure anymore, but I thought it would...more

Epiq

Review Strategies for Multilingual Data in Technology-Assisted Review

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The growing digital landscape presents increasing complexity for legal teams managing multilingual data during investigations and litigation. The expanding diversity of languages can impact the accuracy and efficiency of...more

Ropes & Gray LLP

[Podcast] Multidimensional Data Reversion: From Search Terms to GenAI—How We Got Here and What We Learned Along The Way

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On this episode of Ropes & Gray’s Insights Lab’s multi-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss how artificial intelligence and machine learning are being applied to...more

Lighthouse

AI Isn’t One Tool—It’s an Entire Toolbox for eDiscovery

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AI is changing eDiscovery, but it’s not a single solution. It’s a toolbox of powerful tools. Discover how the right mix of models and expertise can transform your approach....more

IR Global

Client Beware: The Utilization of Artificial Intelligence Platforms and the Potential Waiver of Attorney-Client Privilege

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The rapid evolution of digital technologies has ushered in a new era for the legal profession—one characterized by both unprecedented promise and intricate new hazards. As practitioners and clients alike become more reliant...more

Association of Certified E-Discovery...

How Legal Professionals Should Prepare for and Adapt to an AI-Centric E-Discovery Landscape

Ari Kaplan speaks with Jim Sullivan and Tom Palladino, the Founder and President, respectively, at eDiscovery AI, which leverages artificial intelligence for document review, privacy response, investigations, and litigation....more

EDRM - Electronic Discovery Reference Model

From Search Hits to Answers: How GenAI Solved Complex Discovery Challenges at HKA’s “Hands On” AI Program in London

Picture this: Six teams of senior legal professionals from the world’s largest law firms and investigation groups, each armed with nothing but a natural language question and access to 14,000 documents from one of Britain’s...more

Lighthouse

What Working on a 200,000-Line Privilege Log Taught Me About Generative AI

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Generative AI’s real strength lies in its adaptability—and in this blog, we share how it delivered fast, regulator-ready privilege log descriptions without sacrificing nuance or consistency. From custom prompts to flexible...more

Purpose Legal

Looking Beyond Generative AI – Agentic AI’s Potential in Legal Services (updated July 2025)

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Generative AI is quickly transforming many industries, including legal services. Many of us are already using (or at least experimenting with) Generative AI, with impressive results. By now, most will have heard, read about,...more

Purpose Legal

From OCR to AI The Future of Media and Image Analysis in eDiscovery

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In this episode of the Purpose Legal Podcast, Chief Innovation Officer Jeff Johnson sits down with Sergio Suarez, CEO of TackleAI, to explore how cutting-edge computer vision is transforming document analysis in legal. From...more

Purpose Legal

AI in eDiscovery Today: An Open Conversation

Purpose Legal on

AI in eDiscovery Today: An Open Conversation In this energizing episode of the Purpose Legal podcast, Jeff Johnson, Chief Innovation Officer at Purpose Legal, sits down with Jim Sullivan, CEO of eDiscovery AI, for a candid,...more

Lighthouse

AI in Action: Improving TAR in Antitrust Matters

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Agility, precision, and the ability to stay ahead of the curve are everything in antitrust. In this Q&A, Lighthouse experts Kamika Brown (Client Success Manager, Antitrust) and Fernando Delgado (Senior Director, AI &...more

EDRM - Electronic Discovery Reference Model

Document Content vs. Metadata in eDiscovery AI: A Clarification of Scope, Access, and Accuracy

Abstract - This article addresses a critical source of confusion in legal technology: the conflation of document content and metadata in generative AI tools for eDiscovery. Document content is the text and visual data you see...more

EDRM - Electronic Discovery Reference Model

The Future is Now: Why Trial Lawyers and Judges Should Embrace Generative AI Now and How to Do It Safely and Productively

Introduction: The Urgency and Promise of Generative AI in Law - The unprecedented rapid advancement of generative artificial intelligence (AI) worldwide presents the legal profession with a pivotal opportunity for...more

EDRM - Electronic Discovery Reference Model

Case Study: Practical Testing for Effectively Organizing Documents with GenAI Review

This case study outlines a practical framework for evaluating Generative AI (“GenAI”) review for organizing documents in discovery using Relativity’s aiR for Review....more

Cimplifi

Chess, Not Checkers: Multi-case Strategies for Discovery

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It’s important to balance innovation in AI-driven processes with the human element to ensure a defensible approach to litigation that also maximizes the protection of sensitive data. We use the analogy of chess vs. checkers...more

Integreon

Navigating the Multilingual Maze: Document Review in Cross-Border Litigation and Regulatory Investigations

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As cross-border litigation and regulatory investigations become increasingly common, document review professionals and providers are frequently tasked with reviewing documents spanning multiple languages....more

U.S. Legal Support

How to Streamline Record Retrieval

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Lawyers and legal professionals depend on seamless, efficient records retrieval at all stages of litigation. The healthcare industry also relies on efficient medical record retrieval services to process insurance claims and...more

EDRM - Electronic Discovery Reference Model

AI Can Improve Great Lawyers—But It Can’t Replace Them

The rise of legal AI has sparked a familiar fear: that our hard-won expertise might be absorbed into machines. That lawyers will be off-loaded—our reasoning encoded, commodified, and reduced to prompts. That we’ll be...more

Ropes & Gray LLP

Considering the Use of AI in Legal Investigations

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In today's rapidly evolving legal landscape, the integration of Artificial Intelligence (AI) into investigation and document review processes is transforming the way legal professionals operate. AI technologies promise...more

Ropes & Gray LLP

[Podcast] Multidimensional Data Reversion: Free Text Isn’t Free

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On this third episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss the crucial steps in the iterative cycle of data analysis,...more

U.S. Legal Support

Cybersecurity’s Role in Legal Transcription

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Legal transcription services play a vital role in legal matters, ensuring that live oral arguments and other audio or video content are fully accessible to all stakeholders in text. When managing transcription...more

EDRM - Electronic Discovery Reference Model

Enhancing Discovery with Alchemy Textract: How AI-Powered OCR Captures Handwritten Notes and Poorly Scanned Documents

In today’s legal landscape, investigations and discovery often involve processing thousands of complex documents. Traditional Optical Character Recognition (OCR) technology struggles with the varied document types legal...more

U.S. Legal Support

How to Reduce Record Retrieval Costs

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Record retrieval helps law firms get the documents they need to learn more about a client or situation, strategize effectively, and substantiate the arguments they make. However, the process can be costly, especially when...more

Pagefreezer

What Is Technology Assisted Review (TAR)?

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In a world where more than 2.5 quintillion bytes of data are created every day, the eDiscovery process isn’t only complex and time-consuming, but it can be extremely costly as well....more

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