Artificial Intelligence and the Law
This class is designed to train students to efficiently manage, collect, explore, analyze, and communicate in a world and a legal profession increasingly driven by data. Student learning objectives include understanding the process of extracting actionable knowledge from data; distinguishing themselves in legal proceedings involving some form of data or analysis; distinguishing themselves in firm/in-house management matters including billing, case forecasting, process improvement, etc; and better managing outside resources such as analytics firms, LPO’s or eDiscovery providers. This course assumes prior knowledge of statistics such as might be obtained in Legal Analytics I, Quantitative Methods for Lawyers (http://www.quantitativemethodsclass.com), or through some sort of advanced undergraduate or other training. You may not take this course if you have already taken Legal Analytics 2.
|Course #:||LAW 323|
|Course Type:||JD Elective|
|Area of Study:||Technology Law|
|Credit Hours:||Two credit hours.|