Lilith Bat-Leah is a Consultant and Director of Data Science and AI Strategy at Driven, Inc. She has extensive experience managing, delivering, and consulting on eDiscovery, including identification, preservation, collection, processing, review, analysis, and production of digital data. She also has experience in research and development of eDiscovery software. Lilith is a regular participant in negotiations around eDiscovery and has provided expert testimony in domestic and international court proceedings. She specializes in the application of statistics, analytics, machine learning, and data science within the context of eDiscovery. Lilith writes and speaks on various topics, including ESI protocols, statistical sampling, and technology-assisted review. She serves on the EDRM Advisory Council, the ACEDS New York Chapter board and is a member of Sedona Conference Working Group 1. Lilith was also a founding board member of the ACEDS Chicago Chapter. She is a graduate from Northwestern University, magna cum laude, and has been a Certified E-discovery Specialist since 2015.