Artificial intelligence tools are rapidly entering legal workflows, often producing confident outputs that appear authoritative even when they are inaccurate. In this CLE, we'll examine how large language models actually work, why their design encourages fluent but sometimes unreliable answers, and how that behavior intersects with professional responsibility and privilege.
Attendees will leave with an understanding of when and how to use AI to assist legal work, and how governance and controls can prevent hallucinated outputs from becoming real-world legal problems.
Our presenter is Matt Pogue. Matt Pogue is the founder of Kyloson (https://kyloson.com), where he focuses on information security, technology management, secure infrastructure, and artificial intelligence in regulated environments. He has more than 25 years of experience in information technology, working on issues involving cybersecurity, data governance, and operational risk, emphasizing workflows that support professional judgment rather than replacing it.
Qualifies for 1.2 MO Bar CLE credits. It runs from 12:30 to 1:30 PM. This is a virtual program.