Lawyers around the world have recently gotten more familiar with advanced search methods relying on machine learning, known as "technology-assisted review" or "predictive coding." These methods, which rely on sophisticated mathematical algorithms, work to automate document reviews previously performed by eyes-on, manual review. How much do lawyers really know about what's going on when using these programs, and how much do they need to know? What does it mean for a lawyer to be "technologically competent" anyway?
Speaker
Jason R. Baron serves as Of Counsel in the law firm of Drinker, Biddle & Reath, in Washington, D.C., and is the Co-Chair of the Information Governance Initiative, a newly formed vendor-neutral industry consortium and think tank. As an internationally recognized speaker and author, over the past decade Mr. Baron has given presentations on preservation and access issues involving electronic records in over 300 forums, world wide. Immediately prior to his present position, Mr. Baron served for 13 years as the first Director of Litigation for the National Archives and Records Administration. He has served as Co-chair on the steering committee of The Sedona Conference® Working Group on electronic document retention and production. In 2013, Mr. Baron was recognized as an e-discovery “trailblazer” by The American Lawyer, in its issue on the “Top 50 Big Law Innovators of the Last 50 Years.”