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Zac Kriegman

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Zac Kriegman is a Director of Data Science in Thomson Reuters Labs where he heads the Deep Learning Team that is building neural networks to understand, analyze, and generate legal language by training on Thomson Reuters’ vast repositories of legal, tax and news data.  Before heading the Deep Learning Team, Zac co-created Thomson Reuters' Singapore Lab focused on developing novel financial applications with international banking customers. Prior to starting his Data Science career at Thomson Reuters, he was an economist doing econometric analysis for high stakes anti-trust litigation, a business lawyer at a top national law firm, and a software engineer at a Boston area startup (not all at the same time). He holds a B.A. in Economics from the University of Michigan and a J.D. from Harvard Law School.


Feb 12, 2020 @ 5:00 PM

From JD to Data Science: A Case Study in AI and Law

Co-Hosted with the Harvard Data Science Initiative

Zac Kriegman describes his path from a Harvard JD to a data science career focused on deep learning.