Tom is an industry leading e-discovery expert and experienced litigator. He assists global corporations, law firms and governmental entities with team, process and technology development and improvement in e-discovery, document review and information governance programs. He frequently serves as a consulting and testifying expert on all aspects of e-discovery, information and data management, and regulatory compliance issues in large complex litigation and enforcement matters. He is considered one of the world’s leading experts in the areas of data analytics, predictive coding and technology-assisted review.
As an industry innovator and entrepreneur, Tom has built and led industry-leading companies and created and implemented new service and product offerings related to optimizing legal review, e-discovery, regulatory response and litigation preparedness; he led a multi-country R&D effort that designed and brought to market one of the industry’s first predictive coding legal review solutions. He was the founding member and senior executive in charge of the e-discovery division of the largest business process outsourcing company in Asia. This division was an innovator in the area of complex data analytics as well as predictive and iterative document review technology. Tom’s academic white papers on data analytics and machine learning are cited numerous times throughout the landmark 2012 Rand study, Where the Money Goes, Understanding Litigant Expenditures for Producing Electronic Discovery.
Tom was an original co-author and a member of the editorial board of the influential treatise, The Sedona Conference Principles on Electronic Document Production. He was an original member and continues to serve on the Board of Editors of the Electronic Discovery Reference Model (EDRM) Project, he previously served on the Advisory Board of the Georgetown University Advanced E-Discovery Institute.