Resources for legal AI practitioners

Guides, whitepapers, glossaries, and external references — curated by the Lawcal AI News editorial team. Free to read, free to share.

4 guides2 whitepapersUpdated weekly

A practical playbook from teams that have done it well, and the three classic failure modes that sink most pilots before they start.

A 60-page evaluation framework: privilege, hallucination tolerance, vendor lock-in, and citation traceability. Updated quarterly.

A curated directory of Israeli legal tech startups: who they are, what they build, and who they sell to. Includes extended company profiles.

A redline-ready template covering privilege, retention, vendor review, and disclosure. Used by 200+ corporate legal teams.

Survey of 1,200 lawyers across the US, UK, and EU. Adoption, attitudes, and the productivity gap that is reshaping the profession.

A taxonomy of how legal AI tools fail in production, drawn from sanctioned cases, public post-mortems, and our own incident database.

A continuously-updated list of US court orders sanctioning lawyers for AI-fabricated authority. 47 cases and counting.

RAG, agentic, fine-tuning, embeddings, without the marketing fog. The reference glossary used by GCs and partners.

The full official text of the 2026 Israel Bar ethics committee guidance on AI use in legal work, with annotations and context.

Official text with our annotated reading order for legal teams. Updated as implementing acts are published.

The American Bar Association 2024 resolution and explanatory report. The foundational US bar guidance on AI use.