Legal AI Hype Isn't About Drafting—It's About Citations, Disclaimers, and Lawyer

<p>The legal-AI market is moving fast. New products ship weekly, model capabilities are doubling every six months, and law firms are under pressure to adopt AI tools before their

<p>Every legal-AI product on the market in 2026 will, at some point, produce a hallucination. This is not a controversial claim — it's the well-documented nature of large language

<p>Last year I was hiring my third virtual assistant. The first one was great but moved on. The second ghosted after two weeks. By the time I was writing yet another job post on

<p>Legal AI is having its GPT-3 moment. The technology is good enough to be useful, every founder is shipping, and the gap between the marketing demos and the production systems

<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1sf3czb/you_still_need_lawyers/"> <img alt="You still need lawyers!"

<p>In Part 5 we saw how hybrid search and re-ranking can dramatically improve retrieval quality. Now we tackle the next challenge: making sure the answers built from those

<!-- SC_OFF --><div class="md"><p>One thing keeps coming up:</p> <p>Models often produce very confident legal answers, but the citations are either missing, outdated, or not

<!-- SC_OFF --><div class="md"><p>Wendell Wallach uses that story in our conversation as a window into something broader: AI doesn’t just produce errors, it produces confident