Lead storyPosted 9 hours ago
How AI-Driven Forensics Turns Endpoint Activity into Evidence: Artificial Intelligence Trends
Want to know how AI-driven forensics turns endpoint activity into evidence? Exterro discusses how in their latest post here!
Today's eDiscovery AI Brief
Agentic curated eDiscovery AI news and resources
Eleven sources scanned every morning. Scored out of 100: Recency 50, Impact 15, Source 10, and Topic fit 25, with noise penalties for vendor or event-heavy items.
Story 2Posted 12 hours ago
Illumination Zone: Episode 237 | Ankura’s Michael Huber sits down with Mary Mack and Holley Robinson
Michael Huber, Managing Director of Legal Technology & Data Analytics at EDRM Trusted Partner Ankura, sits down with Mary Mack and Holley Robinson. In this episode, Michael talks about his journey into legal technology and eDiscovery. He discussed the critical importance of early preservation in high-stakes engagements, why.
Story 3Posted 17 hours ago
The University of Chicago Law School is Partying Like it’s 1979 for 1L Students: Artificial Intelligence Trends
The University of Chicago Law School is prohibiting the use of electronic devices for 1L students. Why? Because of AI, of course.
Story 4Posted 13 hours ago
Claude, Relativity, Everlaw, and the Future of Legal AI: Why Connected Workflows Are the Next Frontier
The legal industry has spent the past several years exploring what artificial intelligence can do. From document summarization and contract analysis to eDiscovery review acceleration, organizations have been evaluating where AI fits into legal work and where it delivers meaningful value.... By: Array
Story 5Posted 12 hours ago
FTC’s Policy Statement On “Suppression Of Accuracy” In AI Systems Takes Aim At States’ Efforts To Regulate AI: What It Means For Businesses
On July 7, 2026, the Federal Trade Commission (FTC) published a proposed policy statement taking aim at states’ efforts to regulate artificial intelligence (AI). The FTC declared that AI companies that steer system outputs “contrary to consumers’ reasonable expectations … including attempted compliance with a State law, such.
Story 6Posted 11 hours ago
FinTech Five - Lowenstein's FinTech, Crypto, Trading & Markets Newsletter - July 14, 2026
1. Federal Reserve Vice Chair for Supervision Notes AI Governance and Controls Should Be Determined by Use and Materiality- On July 7, Michelle Bowman, Vice Chair for Supervision, spoke at the Financial Stability Board (FSB) Virtual Outreach Event discussing the regulatory and practical considerations related to the use of.
Story 7Posted yesterday
Discovery Isn’t Sequential. Your Workflow Shouldn’t Be Either: eDiscovery Trends
This just in: discovery isn’t sequential. Joe Pirotta of ProSearch asks the question: if it’s not, why is your workflow? Good question.
Matter planning
Settle the review questions before kickoff.
A focused planning board for scope, sampling, model controls, validation, and the people who need to explain the workflow later.
25 prompts5 planning lanes
- 01Scope
- 02Sample
- 03Controls
- 04Validate
- 05Explain
Built for kickoff, meet-and-confer prep, and internal review planning.Open Checklist
Featured Resources
Jump into the same curated resource categories available in the full library: guides, case law, vendor documentation, research, and practitioner references.
Read Me First: TAR Primer
A high-level primer for understanding what Technology-Assisted Review is, how the workflow moves from goals to validation, and how prediction scores and metrics should be interpreted before relying on TAR in a real matter.
6 resources →Start Here: Additional Overview Resources
Use these after the primer when you want the primary overview materials behind the TAR workflow, including EDRM, FJC, and Grossman/Cormack resources.
4 resources →Authoritative Guides & Standards
Neutral or semi-neutral references users can rely on when learning TAR or building defensible workflows.
4 resources →AI eDiscovery: Workflow Resources
Workflow-focused resources for connecting AI assistants to eDiscovery context, MCP servers, and legal plugin patterns while keeping human review, read-only defaults, and non-legal-advice boundaries visible.
3 resources →AI in eDiscovery: Practical Governance Resources
Resources for teams using generative AI, analytics, classifiers, or AI-assisted review features in litigation workflows.
4 resources →Court Guidance & Case Law
Key decisions and legal themes users should understand before proposing or challenging TAR.
2 resources →Latest Blog Posts
Practical TAR explainers, workflow notes, and analysis that add context after the news brief and resource library.
MCP, Legal Plugins, and Closing the Context Gap
Model access alone is not enough. MCP and legal plugins connect an AI assistant to the matter context, permissions, and workflows your team already relies on.
Read MoreUnderstanding Technology-Assisted Review: A Practitioner's Guide
Machine learning has quietly rewritten the rules of document review. Here's what every legal professional needs to know before their next large-scale matter.
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