Our Team.

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email
bhedin@h5.com
phone
415.625.6700

Bruce Hedin, Ph.D.

Principal Scientist

Dr. Bruce Hedin, H5’s Principal Scientist, is a leading expert in the assessment of the effectiveness of advanced search and data analytics technologies, including artificial intelligence, at performing legal tasks. At H5, his responsibilities include the design and oversight of the sampling and measurement protocols whereby H5 validates the quality of the results of its AI- and linguistics-enabled review services and technologies. He also frequently supports counsel, both for producing parties and for requesting parties, engaged in meet-and-confer discussions with regard to the use of AI-enabled review processes, such as TAR. In this capacity, he helps producing parties identify and produce the evidence that allows them to defend the soundness of their review process and helps requesting parties secure the information that allows them to make a meaningful assessment of the effectiveness of the review process opposing counsel has undertaken.

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 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.

Dr. Hedin is a program committee member of the International Conference on Artificial Intelligence and Law (ICAIL) and of the International Conference on Legal Knowledge and Information Systems (JURIX), is a member of the Law Committee of the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, and is a participant in the Sedona Conference’s Electronic Document Retention and Production Working Group (WG1). He earned his Ph.D. from Stanford University and his B.A. from Cornell University.