Among the World’s First Attorney/Data Scientists
Harnessing the power of data is essential for helping clients drive value in their business operations and for telling their side of the story in litigation or regulatory investigations. 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. Bennett is a member of the National Conference of Lawyers and Scientists (NCLS) of the American Academy for the Advancement of Science and is a frequent speaker, author and guest lecturer at Georgetown University Law Center, the University of Virginia Law School, Temple University Law School and the University of Maryland College of Information Studies.
In his free time, Bennett enjoys hiking, camping and working on his farm.