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Technology-Assisted Review e-Discovery 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

U.S. Legal Support

Litigation Automation: Streamlining Legal Workflows

U.S. Legal Support on

What could you do for your clients if you sliced away a quarter or more of your current day-to-day tasks? A landmark McKinsey study estimated that simply by using existing technology, attorneys could automate roughly 23% (and...more

Nextpoint, Inc.

Key Discovery Points: A Gentle Distinction for Agentic AI

Nextpoint, Inc. on

In this Key Discovery Points video, Brett Burney of Nextpoint and Doug Austin of eDiscovery Today break down the key differences between Agentic AI and Generative AI – two technologies making waves in the legal tech world....more

Epiq

Review Strategies for Multilingual Data in Technology-Assisted Review

Epiq on

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

Ropes & Gray LLP on

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

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

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

Purpose Legal

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

Purpose Legal on

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

EDRM - Electronic Discovery Reference Model

Epiphanies or Illusions? Testing AI’s Ability to Find Real Knowledge Patterns – Part One

Humans are inherently pattern-seeking creatures. Our ancestors depended upon recognizing recurring patterns in nature to survive and thrive, such as the changing of seasons, the migration of animals and the cycles of plant...more

Nextpoint, Inc.

Key Discovery Points: Detecting AI is Difficult and Tricky!

Nextpoint, Inc. on

In this Key Discovery Points video, Brett Burney of Nextpoint and Doug Austin of eDiscovery Today dive into one legal tech writer’s experiment with AI detectors, specifically ZeroGPT, to see if these tools can truly tell the...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

Lighthouse on

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

Association of Certified E-Discovery...

AI, Talent, and the eDiscovery Edge

eDiscovery professionals have long been ahead of the curve when it comes to legal tech. We’ve been talking about AI for years, well before it became the industry’s buzzword. Remember TAR? Predictive coding? Judge Andrew...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

Cimplifi on

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

Integreon on

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

Ropes & Gray LLP on

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

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)?

Pagefreezer on

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

U.S. Legal Support on

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

Epiq

LLMs to Agentic AI — Tackling Trust and Explainability

Epiq on

Legalweek 2025 Session Recap - What does it mean to trust AI? According to AI expert Ron Brachman, “it’s when technology demonstrates consistent behavior over time.”  Trust is a cornerstone of any successful AI deployment....more

Nextpoint, Inc.

Key Discovery Points: AI Says AI Will Replace Paralegals… But Not So Fast!

Nextpoint, Inc. on

In this Key Discovery Points video, Brett Burney of Nextpoint and Doug Austin of eDiscovery Today dive into Deep Research’s bold prediction: AI could replace paralegals – coming in at #5 on the list of replaceable jobs...more

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