Blake Lively wins a discovery battle as the court denies Popcorned Planet’s privilege claims, ruling its YouTube content must be produced in her defamation suit.

John Tredennick examines how AI is changing the legal profession and why moving forward, with competence, caution, and clarity, is no longer optional.

This week’s EDRM community update features recent blog posts, upcoming webinars, notable podcasts, and key announcements. Stay engaged with the EDRM community for the latest insights and support.

In Legault v. Costco, the court denied a motion to compel native file production, citing IT security risks and a lack of protective order agreement between the parties.

Explore how AI, data risk, and modern discovery intersect at eDiscovery Day 2025. Join us December 4 for expert webinars and in-person gatherings across five cities.

In Moorer v. Nationwide, the court ruled that an insurer’s duty to preserve does not arise merely upon claim filing or attorney involvement but begins with claim denial.

Despite its central role in litigation, eDiscovery remains misunderstood by 60% of legal professionals. This gap inflates budgets, delays timelines, and compromises defensibility. On eDiscovery Day, we spotlight the urgent need for shared understanding.

In a discovery dispute over 557 requests for admission, the court found the Wayfarer Parties’ objections meritless but granted a short extension to aid in resolving the case fairly.

GenAI promises speed and savings in eDiscovery, but without oversight, it risks accuracy, privilege, and defensibility. Learn how to balance innovation with control.

OpenAI, Google, and Anthropic each launched new flagship LLMs in under two weeks. Legal discovery platforms relying on a single model are now structurally disadvantaged. Here’s why multi-model architectures are the only sustainable solution.

This week’s EDRM community update features recent blog posts, upcoming webinars, notable podcasts, and key announcements. Stay engaged with the EDRM community for the latest insights and support.

Ralph Losey reviews the surprising Stanford-Carnegie Study measuring the differences between totally Autonomous AI Agents vs. a Hybrid AI-Human team.