Maura Grossman

Maura R. Grossman is an expert in technology-assisted review (TAR), having written two seminal papers on the use of supervised machine learning for electronic discovery. Maura used her background as a clinical psychologist and as a lawyer at Wachtell, Lipton, Rosen & Katz to demonstrate that TAR can help attorneys do e-discovery faster, cheaper, and more accurately than manual review. Her 2011 paper, “Technology-Assisted Review in E-Discovery Can Be More Effective and More Efficient Than Exhaustive Manual Review,” established one of the first benchmarks comparing TAR to human review. Her 2014 paper, “Evaluation of Machine-Learning Protocols for Technology-Assisted Review in Electronic Discovery,” demonstrated that continuous active learning (CAL)—a method she developed with Gordon V. Cormack—was the most effective method for TAR. Maura has laid the foundation for more effective, more efficient, and less expensive document review for lawyers, and for the use of AI in the delivery of legal services as well.