Bruce Hedin, Ph.D.
Bruce Hedin joined H5 in 2003 and is its Principal Scientist. His responsibilities include the design and oversight of the sampling and measurement protocols whereby H5 validates the quality of its results. Dr. Hedin has wide experience in finding ways to quantify elusive properties, whether that is using statistical models to quantify features of the phonology of Ancient Greek (as he did in his Ph.D. dissertation at Stanford) or using sampling to quantify the effectiveness of AI tools and methods (as he does at H5 and did in a series of studies conducted under the auspices of the US National Institute of Standards and Technology (NIST)). He frequently supports counsel engaged in the meet-and-confer process, helping them both to defend their own review process and to ensure that opposing counsel provides statistically-sound and meaningful validation of the review process they have chosen to follow.
Dr. Hedin is a frequent writer and speaker on the role of sampling and measurement in eDiscovery and seeks to advance the legal and the scientific communities’ understanding of how the science of information retrieval can contribute to meeting the challenges of legal discovery. He has contributed articles to publications such as Perspectives on Predictive Coding and Other Advanced Search and Review Technologies for the Legal Practitioner, The Journal of Artificial Intelligence and Law, Current Challenges in Patent Information Retrieval, and Today’s General Counsel.
Dr. Hedin was a coordinator of the TREC Legal Track from 2008 through 2011, is a program committee member of the International Conference on Artificial Intelligence and Law (ICAIL), and is a participant in the Sedona Conference’s Electronic Document Retention and Production Working Group (WG1). Dr. Hedin earned his Ph.D. from Stanford University and his B.A. from Cornell University.