Bennett B. Borden is Drinker Biddle’s chief data scientist and responsible for the firm’s analytics strategy. Harnessing the power of data, Bennett advises the firm and its clients on the development and use of analytics models that enable insight, data storytelling, and economic value generation.
Bennett’s ground-breaking research into the use of machine-based learning and unstructured data for organizational insight is now being put to work in data-driven early warning systems for clients to detect and prevent corporate fraud and other misconduct. Bennett also builds machine-based learning models to transform and improve legal outcomes in key corporate events including mergers and acquisitions, information governance program development and enforcement, litigation and investigations and business intelligence.
American Bar Association; District of Columbia Bar Association; The Sedona Conference; Cloud Standards Customer Council; National Conference of Lawyers and Scientists (NCLS) of the American Academy for the Advancement of Science.
Georgetown University Law Center, J.D. cum laude; New York University, M.S. Business Analytics; George Mason University, B.A. with highest honors.