The Brief

AI Review 2.0: Why Document-Driven Review Produces Better Results—and Puts You Back in Control Originally published by EDRM and in JD Supra (2/16/2026) By John Tredennick The argument for AI-powered document review is all but over. Large language models are smarter, faster, more consistent, and less expensive than human review teams. I made that case

Beyond Keywords: How Semantic Search is Transforming Discovery Originally published by EDRM and in JD Supra (2/03/2026) By John Tredennick Anyone who has conducted document review knows the frustration of keyword search. You craft what seems like a comprehensive list of terms, run your searches, and still miss documents you know should be there. The

Five Reasons Why Your Best Document Reviewer Isn’t Human Anymore Originally published by EDRM and in JD Supra (1/27/2026) By John Tredennick A year ago, skeptics questioned whether AI could reliably review documents. Today, those skeptics are watching others finish reviews in weeks instead of months at a fraction of the cost. Contract reviewers who

Picture this: Six teams of senior legal professionals from the world’s largest law firms and investigation groups, each armed with nothing but a natural language question and access to 14,000 documents from one of Britain’s most complex scandals. Their challenge? Master an AI-powered investigation platform they’d never seen before and produce sophisticated multi-page reports analyzing the UK Post Office disaster. Their time limit? Just 45 minutes. The result? A groundbreaking demonstration that complex investigations and discovery will never be the same.