LAW 7676 - Applied Legal An alytics Lab.

3 Credit Hours

Prerequisites: LAW 7674
Description
This “lab” course introduces students to legal analytics in an applied setting. “Legal analytics” refers to the software-enabled analysis and visualization of various kinds of legal data to accomplish both descriptive and predictive goals. Broadly speaking the data methodologies automate data collection practices, provide informative data to contextualize current legal questions (i.e., how often do judges rule for defendants in FLSA claims) and make predictions about future outcomes (i.e., FLSA claims with x are more likely to survive a motion for summary judgment). In partnership with GSU’s new Legal Analytics Lab, law students will work in teams with MSA (masters in data science) students supervised by Law, Business, Data Science and other relevant faculty. Interdisciplinary student teams will explore the application of data science techniques to a client’s legal questions and problems on a 12-14 week project called a “sprint”. Students’ introduction to applied legal analytics will be supported by introductory reading, reaction papers, and a research project on a legal analytics topic of the student’s choice. No prerequisites or previous experience required, but preference will be given for students co-enrolled in or who have previously taken Legal Analytics. Interested students should apply to participate in the lab consistent with the experiential fair deadlines and/or by contacting the faculty listed in the course schedule.

*This course will not satisfy the experiential requirement.**