There’s an obvious objection to recommending books about AI: timeliness. Between manuscript and publication, details change, and capability claims are overtaken by whatever shipped last week. All of that is true, but none of it matters much.

What a good book does better than a vendor demo or a LinkedIn post is provide a framework…

Lawyers will never eliminate AI hallucinations with today’s technology. But they can reduce them—sometimes substantially.

Hallucinations arise from fundamental characteristics of current large language models, which generate answers by predicting plausible language rather than independently determining whether every statement is true. Recent OpenAI research adds another wrinkle: AI systems can be rewarded for guessing rather…

Anyone writing seriously about AI and the law learns to watch certain bylines. Michael Murray’s is one of them, and his latest book just moved to the top of my reading list.

Legal Issues of Generative and Agentic Artificial Intelligence (July 2026) is hot off the presses. It tracks the fastest-moving questions in American law…

“Human in the loop” has quickly become one of the most reassuring phrases in the modern AI vocabulary. It suggests prudence, restraint, and—above all—control. If a human must approve the system’s actions, what could go wrong?

Human in the loop, often shortened to HITL, describes any arrangement in which a person reviews or authorizes an…

Most lawyers encounter artificial intelligence through cloud services like Claude, Gemini or ChatGPT. They type a question, upload a document, and receive an answer produced on computers operated by someone else.

This arrangement is convenient. It also means that the lawyer is relying on an outside company to process the information, maintain appropriate security, follow…