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Supreme Court Institute Annual Report, 2013-2014, Georgetown University Law Center, Supreme Court Institute May 2014

Supreme Court Institute Annual Report, 2013-2014, Georgetown University Law Center, Supreme Court Institute

SCI Papers & Reports

During the 2013-2014 academic year–corresponding to the U.S. Supreme Court’s October Term (OT) 2013–the Supreme Court Institute (SCI) provided moot courts for advocates in 96% of the cases heard by the Court this Term, offered a variety of programs related to the Supreme Court, and further integrated the moot court program into the education of Georgetown Law students. A list of all SCI moot courts held in OT 2013–arranged by argument sitting and date of moot and including the name and affiliation of each advocate and the number of student observers–follows the narrative portion of this report.


Supreme Court Of The United States, October Term 2014 Preview, Georgetown University Law Center, Supreme Court Institute Jan 2014

Supreme Court Of The United States, October Term 2014 Preview, Georgetown University Law Center, Supreme Court Institute

Supreme Court Overviews

No abstract provided.


Machine Learning And Law, Harry Surden Jan 2014

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 …