From a $1.5B lawsuit to global transparency laws, AI copyright liability has arrived. Enterprises must now prove training data provenance or face serious risk.

Maryland courts and statutes set key precedents for the admissibility, disclosure, and limits of facial recognition technology in criminal proceedings, principles with relevance far beyond state lines.

AI has transformed document review, offering unmatched speed, accuracy, scalability, and security. Find out why human reviewers cannot compete

EDRM issues an open call for contributors to four cornerstone projects tackling AI ethics, discovery workflows, ESI protocols, and testimony evidence, inviting collaboration across the legal tech community.

Hon. Ralph Artigliere (ret.) outlines how effective advocacy fundamentals remain essential in an AI-driven legal world, where credibility is tested faster than ever.

Small Language Models are challenging the dominance of cloud-based AI, empowering legal and security teams with on-premise intelligence that balances precision, privacy, and efficiency.

This insightful review explores “Generative AI for Smart Discovery Professionals” by John Tredennick and Dr. William Webber, highlighting its clarity, practical tools, and ethical considerations for legal discovery professionals.

This review of The Leery Lawyer’s Guide to AI and LLMs in Trial Practice highlights how Craig Ball empowers legal professionals to confidently integrate AI into daily litigation tasks.

Jim Sullivan’s “The Book on AI Doc Review” explains how AI transforms document review, moving beyond TAR and predictive coding to prompt-based relevancy and defensibility.

Relativity’s new aiR for Case Strategy uses generative AI to streamline litigation work: extracting facts, summarizing evidence, and empowering legal teams to build stronger case narratives faster.