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
“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,
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
Many law firms are understandably reluctant to adopt agentic AI because of its well-documented security risks, including prompt injection. Running open-weight AI models (usually free) on computers you own—but that are not connected to your business network—lets lawyers who
An AI agent can be attacked by an email you never open. No click. No download. No opened attachment. Just a “confused deputy,” an agent that has failed to distinguish a prompt from data, a problem known as
The obvious trap for a book about AI is that the rapid pace of new developments makes most books age quickly. It’s kind of like writing a treatise on current K-Pop stars.
Christopher Mims’ new book How to AI:
Prompt Injection is generally acknowledged as the most serious vulnerability in the deployment of AI apps, and AI agents in particular. The Open Worldwide Application Security Project (OWASP), considered by many the world’s leading authority on web-facing system
Agentic AI Conventional software keeps code (instructions) strictly separate from data (the files being processed). Large language models collapse the distinction. To an agent, both are just natural language. A firm’s internal policy and an incoming email are structurally similar.
Christopher Mims’s new book, How to AI: Cut Through the Hype. Master the Basics. Transform Your Work stands out among the many AI books flooding the market.
Mims’s background and track record as a Wall Street Journal reporter covering technological
When and why should presenters act like Phil Donahue? Sara Kubik knows.
Sara recently observed: “I anticipate having audience input and will actually encourage it. Like Phil Donahue style.”
Incorporating audience feedback can strengthen nearly any presentation.
One powerful
