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Tuesday, January 24 • 11:05am - 11:30am
Deep Learning for Legal Technology

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Machine learning has been widely applied to legal problems for over two decades, most recently through an iterative learning process called predictive coding. At DISCO we have developed the first commercially available predictive coding based on deep learning for text. In this talk, I will describe DISCO's approach to predictive coding, including the neural architecture and the methods that make it work fast and effectively in a production environment.


Speakers
avatar for Alan J. Lockett

Alan J. Lockett

Data Scientist, DISCO, Inc., DISCO, Inc.
Dr. Alan J. Lockett leads machine learning efforts at DISCO, Inc., a growing startup in the legal technology space. His current research focuses on text classification and clustering using deep neural networks. Prior to DISCO, he studied in Switzerland as an NSF postdoctoral fellow working on deep learning in robotics with Juergen Schmidhuber. 


Tuesday January 24, 2017 11:05am - 11:30am
BioScience Research Collaborative Building 6500 Main Street, Houston, TX 77030-1402

Attendees (3)