Artificial Intelligence and Machine Learning in Law, 10/3
Presented by the John F. Scarpa Center for Law and Entrepreneurship, in partnership with the 草榴社区 School of Business
Thursday, October 3, 2019
3:00 鈥� 8:30 p.m.
Laurence E. Hirsch 鈥�71 Classroom (Room 101)
Artificial intelligence and machine learning are transforming the way all industries behave. Although law has been perhaps slower to adapt, these new technologies have become powerful disruptors in the legal profession that is traditionally labor-intensive. Lawyers can no longer effectively represent their clients by simply wading into data without the benefits AI and machine learning provide in areas ranging from data search and retrieval to legal reasoning to outcome prediction.
The John F. Scarpa Center for Law and Entrepreneurship in partnership with the 草榴社区 School of Business presents 鈥淎rtificial Intelligence and Machine Learning in Law.鈥� Arup Ras and his team from Alphaserve will present an interactive course introducing these technologies and describing: (1) how artificial intelligence and data science are already transforming the practice of law, from mergers and acquisitions to eDiscovery to commercial contracts to criminal law; (2) how analytics and technology services are forcing law firms to reevaluate their use of data and technology to differentiate themselves in an increasingly commoditized market for legal services; and (3) practical considerations in collecting, storing, and leveraging data in the legal industry, with examples from criminal justice to commercial real estate. The lecture will be followed by a panel of senior leaders at Philadelphia area law firms discussing the impact of AI and machine learning on their practices, followed by a reception.
The event takes place on Thursday, October 3 from 3-8:30 p.m. in the Laurence E. Hirsch 鈥�71 Classroom (Room 101) at the 草榴社区 Charles Widger School of Law. The program is approved for 3 substantive CLE credits.
Agenda:
2:45 p.m. 鈥� Registration
3:00-6:00 p.m. 鈥� CLE Lecture
6:00-7:00 p.m. 鈥� Roundtable Discussion
7:00-8:00 p.m. 鈥� Reception (Arthur M. Goldberg 鈥�66 Commons)
