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It’s the End of eDiscovery as We Know It (And I Feel Fine) (…and You Should Too) — Part I: A Sea Change
At Legalweek 2026, one thing stood out by its absence: “eDiscovery.” In its place, AI dominated the conversation, signaling a broader transformation of the industry. Gina Taranto explores why the core skills of discovery professionals—data...
The Goblin in the Machine: What OpenAI’s “No-Pigeon Rule” Teaches Lawyers About AI Hallucinations
OpenAI’s “goblin incident” exposes how training incentives can produce persistent, unintended AI behavior across LLMs. The same root causes drive hallucination, and legal professionals need concrete verification steps before relying on AI output in legal...
Deponent’s Use of A.I. to Answer Deposition Questions Barred; ChatGPT Was Not an Attorney
A federal court ruled that a pro se litigant could not use ChatGPT during a deposition and that such use is not protected by attorney-client privilege, reinforcing limits on AI in litigation.
A.I. Protective Orders Are Becoming Routine
Courts are increasingly entering AI protective orders that restrict how parties use generative AI with discovery materials, highlighting growing concerns over confidentiality, privilege, clawbacks, and litigation risk.
From Competence to Judgment: How AI Compresses Litigation Work and Why That Makes Judgment More Important
As artificial intelligence transforms litigation workflows, the core professional challenge is shifting from competence to judgment. This article explores how AI compresses legal work, accelerates early case assessment, and heightens the importance of human oversight,...
The AI Sanction Wave: $145K in Q1 Penalties Signals Courts Have Lost Patience with GenAI Filing Failures
Courts are escalating enforcement against AI-generated hallucinations in legal filings, with $145,000 in Q1 2026 sanctions. Key rulings, a growing judicial AI paradox, and emerging liability risks for developers signal a major shift for legal...
Important A.I. Work Product and Protective Order Decision: Application to Pro Se Litigant and Beyond?
Can using AI in litigation stay protected, or does it risk exposing strategy? A new decision in Morgan v. V2X draws a careful line, protecting AI-assisted work product while placing real limits on how confidential...
“Colorado policy could shield AI from complaints regarding unauthorized practice of law”
A new Colorado policy could limit enforcement of unauthorized practice of law claims against AI tools, even as litigation against OpenAI alleges such tools engage in UPL.
Something Big Is Happening — But Not What You Think
Attorney Ralph Losey, who pioneered machine learning, AI and quantum i law, rebuts Matt Schumer’s viral essay on the immediate impact of existing AI, revisiting past claims, including the bar passage rate.
Book Review: Tom O’Connor, “Artificial Intelligence for the Rest of Us”
Tom O’Connor’s latest book, Artificial Intelligence for the Rest of Us, is a practical guide for legal professionals navigating AI tools and ethics. With contributions from Rakesh Madhava, Brett Burney, Elizabeth Guthrie, and David D....
2025’s Data Upheaval: What AI, Third-Party Risk, and Data Sprawl Mean for Your 2026 Strategy
2025 marked a seismic shift in data governance as AI adoption soared, third-party risks expanded, and courts demanded automation. Learn how legal and compliance teams must adapt in 2026.
Three Major LLMs Released in Twelve Days: Why Single-Model Discovery Platforms Are Now a Liability
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.