<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/50c816ad745a46ab85bec9fbada04587&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/50c816ad745a46ab85bec9fbada04587-f2606c0bc0b5335d.gif</thumbnail_url><duration>1480.926</duration><title>HOW LAWYERS CAN USE GENERATIVE AI TO FIND HALLUCINATIONS IN THEIR WORK</title><description>I discussed the growing problem of AI hallucinations in legal work and why courts are sanctioning lawyers for them. I cited examples like CHA sanctioned nearly $60,000 for using ChatGPT in a court case, and there were 1,031 documented hallucination cases in February, with $86,000 being the largest sanction. I explained three causes, sycophancy, autocomplete on steroids, and data cutoffs and gaps. I recommended human review as the most important safeguard, and then using generative AI to check documents you already drafted. No specific action was requested from viewers, but I implied you should verify every word and citation and use AI review to speed up hallucination checking.</description></oembed>