Today’s eDiscovery AI Brief

Agentic curated eDiscovery AI news and resources

Eleven sources scanned every morning. Ranked on freshness, impact, and review-team fit.

Lead storyPosted 12 hours ago

The Kitchen Sink for May 29, 2026: Legal Tech Trends

This week’s kitchen sink for May 29, 2026 (with meme from Gates Dogfish) discusses cyber threats galore, the “AI tech job slaughter” & more!

Relevance score80
Recency51/60
Impact7/35
Source12/15
Topic10/10
Open source
Story 2Posted 9 hours ago

AI Hallucinations in Court Filings Continue: Florida Supreme Court Responds with a New Certification Requirement

Artificial intelligence has quickly become part of the modern lawyer’s toolkit. Attorneys are using generative AI platforms to assist with legal research, drafting, editing, and document review. While these technologies can improve efficiency, a growing number of court filings across the country demonstrate a significant risk:.

Relevance score75
Recency55/60
Impact7/35
Source7/15
Topic6/10
Open source
Story 3Posted 5 hours ago

Connecticut's Online Safety Act: The Swiss Army Knife of AI Regulation

On May 27th, Governor Lamont signed into law, Connecticut Public Act No. 26-15, known as the Online Safety Act. This new law establishes a comprehensive regulatory framework for artificial intelligence (AI) and online platforms, with primary provisions becoming effective October 1, 2026.... By: BCLP

Relevance score72
Recency60/60
Impact3/35
Source7/15
Topic2/10
Open source
Story 4Posted 4 hours ago

RegFi Episode 94: AI Governance in Consumer Finance

In this RegFi episode co-hosts Jerry Buckley and Caroline Stapleton examine the evolving policy landscape governing AI in financial services. They discuss the federal government’s push to avoid a patchwork of state AI laws and the extent to which existing consumer protection laws—such as ECOA, FCRA and UDAAP—can address.

Relevance score70
Recency60/60
Impact3/35
Source7/15
Topic0/10
Open source
Story 6Posted 9 hours ago

When AI Marketing Gets Ahead of AI Engineering

Earlier in May, Apple agreed to pay $250 million to settle a consumer class action about how it marketed Apple Intelligence and the upgraded Siri features for the iPhone 16. The claims were never ultimately proven in court, and Apple did not admit any wrongdoing. But the theory of the case—that consumers paid a premium for AI.

Relevance score69
Recency55/60
Impact7/35
Source7/15
Topic0/10
Open source
Story 7Posted 8 hours ago

AI Adoption Is Not a Technology Problem. It’s an Operational Problem

The firms that get lasting value from AI won’t necessarily be the ones that moved first, they’ll be the ones that built the operational foundation to use it consistently. Over the past several years, the legal industry has experienced a rapid increase in interest surrounding artificial intelligence.... By: Association of.

Relevance score68
Recency56/60
Impact3/35
Source7/15
Topic2/10
Open source

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
  1. 01Scope
  2. 02Sample
  3. 03Controls
  4. 04Validate
  5. 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.

Latest Blog Posts

Practical TAR explainers, workflow notes, and analysis that add context after the news brief and resource library.

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The Future of AI in eDiscovery: Users Should Shape the Tools, Not the Other Way Around

April 17, 2026

There's a shift happening in eDiscovery right now, and it's not about which platform has the flashiest AI feature. It's about who's driving.

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Understanding Technology-Assisted Review: A Practitioner's Guide

March 29, 2026 · 8 min read

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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