#133 The Hidden Dangers of AI in the Courtroom No One Is Talking About

Ahmad Alokush has spent his career at the intersection of technology and regulated industries, building AI systems for Goldman Sachs, Morgan Stanley, Barclays, and some of the world's largest law firms. But his most important insight has nothing to do with code. It's a philosophical warning rooted in Plato: stop treating AI like a human. In this episode of Lawyers Who Learn, host David Schnurman, CEO of Lawline, sits down with Ahmad to unpack two of his most popular Lawline courses, AI in the Courtroom and Decoding Blockchain, Cryptocurrency, and the Law, and the conversation gets surprisingly candid and practical. Ahmad explains why generative AI doesn't actually think. It guesses. That distinction matters enormously in a legal setting, as one judge discovered when he ran the same damages analysis three times in open court and got three different answers. Ahmad also breaks down prompt engineering, the underrated skill that separates lawyers who use AI effectively from those who get burned by it, and why a single well-built prompt can be worth more than any off-the-shelf legal tech subscription. The episode also tackles the rapidly shifting crypto legal landscape, the Genius Act, the U.S. Strategic Bitcoin Reserve, and an SEC that is finally committing to telling you the rules before penalizing you for breaking them. For any attorney trying to make sense of where crypto regulation is actually heading, this conversation cuts through the noise. If you've ever wondered whether you can really trust AI in your practice, this episode will change how you think about it.