Daniel A Kipnis

Daniel Kipnis is an Academic Fellow at Columbia Law School. He researches the effect of AI on law, with a focus on factfinding, proof, and decision theory. Kipnis's scholarship uses tools from statistics and formal epistemology to develop methodologies for solving doctrinal and theoretical problems in evidence, constitutional law, and tort law, as algorithms enter the legal system both as decision-makers whose choices law must regulate and generators of evidence whose output courts must evaluate.

Kipnis earned his JD from Columbia Law School in 2024 as an Academic Scholar and a James Kent Scholar. He is a doctoral candidate in statistics and data science at Cornell University and holds degrees in statistics and applied mathematics from Cornell and Yale. He has worked as a litigation associate at Cravath, Swaine & Moore and as a judicial extern for the Honorable Valerie Caproni of the United States District Court for the Southern District of New York.