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Machine Learning And Law, Harry Surden

Publications

This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some task. In general, machine learning algorithms are designed to detect patterns in data and then apply these patterns going forward to new data in order to automate particular tasks. Outside of law, machine learning techniques have been successfully applied to automate tasks that were once thought to necessitate human intelligence — for example language translation, fraud-detection, driving automobiles, facial recognition, and data-mining. If performing …

Man Versus Machine Review: The Showdown Between Hordes Of Discovery Lawyers And A Computer-Utilizing Predictive-Coding Technology, Nicholas Barry

Vanderbilt Journal of Entertainment & Technology Law

The discovery process is regularly capturing millions of pages of documents. Electronic storage is making storing documents cheaper and easier. When litigation begins, however, sorting through this massive amount of electronically stored information is costly and time intensive. Keyword searches are a start to managing the growing amount of electronic documents, but the discovery process is still falling behind in efficiency. Predictive coding could change all that.

Predictive coding is capable of solving the time-intensive nature (and resultant growing cost) of processing discovery documents. Predictive coding is faster, cheaper, and more accurate than traditional linear document review, the current "gold …