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Technology-Assisted Review 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

Association of Certified E-Discovery...

[Webinar] Retrain Your Brain: TAR Workflow to AI-Based Prompts - September 9th, 1:00 pm - 2:00 pm CT

Welcome to Retrain your Brain: TAR workflow to AI-Based Prompts event! Join us on September 9, 2025 at 1:00 PM (Central Time) for an exciting session on transforming your workflow with AI prompts. Let's dive deep into the...more

Epiq

Defensibility Considerations With AI: Best and Worst-Case Scenarios

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The use of AI in eDiscovery introduces opportunities and challenges, particularly when it comes to defensibility. Legal practitioners must be prepared to justify their use of AI tools under both ideal and adversarial...more

Lighthouse

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

Lighthouse on

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

Law Matters

How AI is Transforming Deposition Review: A LegalTech Q&A

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In this Q&A, two legaltech leaders at Lexitas, Nicole Arango, President Court Reporting, and Jason Primuth, Chief Innovation Officer, explore how AI-powered solutions are helping legal teams accelerate their case prep and...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

HaystackID

Will Courts “Search, Forward” with eDiscovery Case Law on AI?

HaystackID on

Editor’s Note: In this contributed article, Phil Favro draws sharp parallels between today’s artificial intelligence (AI) adoption anxieties and the technology-assisted review (TAR) debates of the early 2010s, offering a...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

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

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

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

Cornerstone Research

The Role of Large Language Models in Driving Legal Innovation

Cornerstone Research on

Innovation in the legal industry is particularly challenging because the expectation of accuracy is simply higher than in most sectors. “Move fast and break things” is not an option. Even so, in a period where virtually every...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

Kilpatrick

The Human Element Remains: How Legal Professionals and AI Can Best Collaborate in the Future of E-Discovery and Litigation

Kilpatrick on

In an era where artificial intelligence (AI) is reshaping every industry, the legal profession stands at a pivotal crossroads. Building on the successful adoption of predictive coding and machine learning in everyday...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

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

Esquire Deposition Solutions, LLC

Technology-Assisted Review Was Litigation’s First Encounter With AI

While the use of artificial intelligence for drafting legal pleadings is a relatively new phenomenon, the deployment of artificial intelligence in pretrial discovery of electronically stored information is not. In fact, the...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

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

U.S. Legal Support

The Role of AI & Technology in Record Retrieval

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Artificial intelligence (AI) has made waves in just about every industry after breaking containment in 2022. The benefits of automation, powerful data processing, and predictive generation empower a wide variety of...more

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