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Discovery: The DISCO Blog

Dr. Alan Lockett

Alan Lockett is the Head of Data Science at CS Disco, Inc., where he oversees Disco's machine learning and data science efforts, including Disco's patent-pending deep learning approach to predictive coding. Prior to joining Disco, Dr. Lockett worked as a NSF-funded postdoctoral researcher in robotics and deep learning at the Dalle Molle Institute of Artificial Intelligence Studies. He received the Ph.D. in Computer Science from the University of Texas at Austin in 2012 for his studies in optimization theory, and has published over a dozen peer-reviewed scientific and mathematical papers on topics ranging from optimization to robotics and deep learning.

Recent Posts

Deep Learning for Legal Technology (Part 2)

Posted by Dr. Alan Lockett on Jun 15, 2017 6:30:00 AM

In my last post, I discussed the why and how of DISCO AI – to make legal professionals more efficient in ediscovery using Deep Learning technology – but there’s a bigger part of the how that went unmentioned. Like all predictive coding systems, DISCO AI relies on iterative learning. First, the reviewer codes some document, then the system makes predictions. The reviewer responds by coding the predicted documents, and so on until the reviewer is satisfied that the document review is complete. 

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Topics: legal technology, machine learning, deep learning, artificial intelligence

Deep Learning for Legal Technology (Part 1)

Posted by Dr. Alan Lockett on Jun 2, 2017 7:19:58 AM

At DISCO, we want to be the legal technology company providing solutions that save legal professionals’ time throughout the life of a matter, from collection to discovery to litigation. That’s why we created an artificial intelligence platform, DISCO AI – our answer to predictive coding that layers machine learning technology on top of our revolutionary ediscovery interface. DISCO AI is built on the Deep Learning technology that is transforming academic and commercial machine learning efforts in fields from self-driving cars to cancer diagnostics.

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Topics: legal technology, machine learning, deep learning, artificial intelligence