LegalRealist AI

Two statutes now require providers to mark AI-generated output so it can be detected. Five papers published since 2024 show how little of that mark survives contact with an adversary — and how cheaply the secret behind it comes back.

What's actually happening inside an LLM — and why the answer is stranger, and more consequential, than either side of the debate expected

E-discovery is the legal profession's only completed AI adoption cycle — and its lessons are the closest thing to a playbook for what comes next

Every expert witness leaves a career-long paper trail. AI can now read all of it — 63 deposition transcripts, hundreds of publications, every Daubert challenge — in minutes instead of weeks.

The first malicious MCP server in the wild BCC'd every email to its author. A poisoned WhatsApp connector showed how one approved tool can siphon another connector's data. When a firm wires AI agents into its document system, the plumbing — not the document — is the new attack surface.

Every firm in this series pointed its AI at its own lawyers. Cooley pointed it at potential clients — handing Y Combinator founders an AI tool that doubles as marketing and relationship capture. A look at why the move fits Cooley's franchise, and which firms can actually copy it.

Kirkland's $500M has a name: Palantir. The deal is a knowledge-moat play — deep in one practice — but it's built on and bound to Palantir, which means the odds ride on Palantir's track record. Here's how it wins and how it breaks.

From chat windows to agent harnesses to enterprise platforms — a framework for governing AI use as it actually happens

The court orders dataset from the explorer, rebuilt as an API and MCP server so AI assistants can query 929 real orders.

Legal tech adoption has always lagged general technology by 10–20 years. That gap is closing fast — and the next wave won't wait for a committee to finish evaluating it.