Many law firms are understandably reluctant to adopt agentic AI because of its well-documented security risks. Running open-source AI models on computers you own—but that are not connected to your business network—lets lawyers who want to experiment do so far
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
The New York legislature–pressured by the organized bar–is on the verge of enacting restrictions that will make it difficult to use AI to close the access-to-justice gap. Even worse, this is merely one of many similar efforts elsewhere, some statutory
The marketing promise for premium legal RAG-based models was a hallucination-free experience. The empirical reality is different. Why?
It is a structural problem, created by the way Large Language Models are created. The process includes inputting large amounts of information.
When did “write clearly and persuasively” go from being a goal to being evidence of robot writing?
A Wall Street Journal piece this morning discusses writers deliberately degrading their own work to dodge accusations of AI use.