Isaac Asimov was way ahead of his time. I, Robot, his 75-year-old collection of science fiction stories, remains strikingly relevant to today’s hottest news topic: AI agents that behave unpredictably and sometimes dangerously.
Asimov repeatedly shows how even a system equipped with seemingly sensible safety rules can behave dangerously when the rules are ambiguous
A friend recently asked me to recommend which AI experts they should follow on LinkedIn.
Jennifer Ellis, Carolyn Elefant, Nicole Black, and Thomas G. Martin are can’t-miss choices in the legal AI space.
Venturing beyond the legal domain, Wharton’s Ethan Mollick, author of the best-selling Co-Intelligence: Living and Working With AI
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
Many will agree with AI skeptics that lawyers should not use AI in criminal cases. My take is different.
Those lawyers are right about one thing: criminal law deserves the strictest checking discipline in the profession. That is not a prescription for AI abstinence.
The real problem is lawyers filing something without reading it.
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
What are AI agents and how do they differ from AI apps most of us have been using for the past few years?
AI Chatbots like Claude, ChatGPT, and Gemini are built on large language models. They respond to prompts and provide answers. They give us information, but don’t take any actions.
AI Agents are
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