Dr. Bruce Hedin is a leading expert in the assessment of the effectiveness of advanced search and analytics technologies at performing legal tasks. At H5, where, until its recent acquisition, he served as Principal Scientist, his responsibilities included the design and oversight of sampling and measurement protocols to validate the results of AI-enabled review technologies (such as TAR). As a consultant, Dr. Hedin has supported counsel, both for producing parties and for requesting parties, engaged in meet-and-confer discussions regarding the use of AI-enabled review and retrieval processes. In this capacity, he helps producing parties identify and produce the evidence that allows them to defend the soundness of their retrieval processes and helps requesting parties secure the information that allows them to make a meaningful assessment of the effectiveness of the processes opposing counsel has undertaken to retrieve and produce responsive data. Dr. Hedin has contributed to a number of initiatives that seek to ensure that, to the extent AI is adopted in the service of the law, it is done so on the basis of an informed trust. From 2008 through 2011, he served as a coordinator of the US National Institute of Standards and Technology’s Text Retrieval Conference (US NIST TREC) Legal Track, an effort to measure the effectiveness of information retrieval techniques, including Artificial Intelligence, in electronic discovery. He served as a member of the multi-disciplinary drafting team for the Law Chapter of IEEE’s Ethically Aligned Design, First Edition, which establishes a framework for the trustworthy adoption of AI in legal applications and the justice system at large. He continues to contribute to initiatives undertaken both by the IEEE Law Committee and by the World Economic Forum’s Centre for the Fourth Industrial Revolution that seek to advance the cause of evidence-based, scientifically sound, and ethically responsible decision making with regard to the adoption and use of AI-enabled technologies in the service of the law. Dr. Hedin is a frequent writer and speaker on the role of sampling and measurement in applying AI-enabled technologies to legal challenges and seeks to advance both the legal and the scientific communities’ understanding of how the sciences of information retrieval and statistics can contribute to realizing the potential, and managing the risk, that Big Data presents to the practice of law. 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 New York Law Journal. Dr. Hedin earned his Ph.D. from Stanford University and his B.A. from Cornell University.
