Jeremy Pickens is a leading information retrieval scientist and pioneer in the fields of collaborative exploratory search and technology assisted review (TAR). As Head of Applied Science at Redgrave Data, he leads research and development projects in machine learning, information retrieval, natural language processing, human-computer interface design, and related areas of computer science and artificial intelligence. Jeremy also works with the rest of the Redgrave Data team to support client matters and special projects applying TAR and other advanced technologies to legal, regulatory, and information management needs.  

Prior to joining Redgrave Data, Jeremy was Chief Data Scientist at Conga. Earlier, in applied science leadership positions at OpenText and Catalyst Repository Systems, he led the creation of advanced TAR and review technologies. He began his industry career as a researcher at FX Palo Alto Labs. Jeremy has published and spoken widely in both academic and legal technology contexts on eDiscovery, its supporting technologies, and their scientific foundations. He is an inventor with eleven issued or pending patents in search and information retrieval.

Jeremy graduated from Brigham Young University with a B.S. in Computer Science and International Relations. He received his Ph.D. in Computer Science from the University of Massachusetts, Amherst and conducted post-doctoral work in music information retrieval at King’s College, London.