S. Litigation, Economics, and Statistics

Course Information

Course Number
L6917
Curriculum Level
Upperclass
Areas of Study
Civil Procedure, Litigation, and Dispute Resolution, Corporate Law, Business, and Finance
Type
Seminar

Section 001 Information

Instructor

Section Description

According to a recent LexisNexis white paper, 96% of hiring partners believe that newly graduated law students lack practical skills related to litigation and transactional practice. Dealing with experts in the fields of economics and statistics is essential to modern complex litigation. The course is 2 credits and will cover fundamental economic and statistical concepts and how they are used in litigation. No mathematical or economic background is required.

Economic and statistical evidence plays an increasingly large role in a variety of practice areas, including antitrust, bankruptcy, contracts, products liability, employment discrimination, voting rights, securities law, and many others; for example, it played a central role in much of the mortgage backed securities litigation from the financial crisis to today as well as in the recent no poach case brought against Apple, Google, and other technology companies, and in a staggering variety of cases where class certification is sought.

Attorneys working on cases like these collaborate with their own experts to present economic statistical evidence and also must grapple with competing analyses from opposing experts. Doing this effectively requires a baseline level of economic and statistical knowledge. However, the focus of the class will be on the way in which the law grapples with those ideas, rather than those ideas themselves. The course will include mock depositions and discussion of some specialized civil procedure topics, such as Daubert and Frye standards.

School Year & Semester
Spring 2024
Location
WJWH 416
Schedule
Class meets on
  • Thursday
10:10 am - 12:00 pm
Points
2
Method of Evaluation
Paper
J.D Writing Credit?
Minor (automatic)
LLM Writing Project
Automatic

Course Limitations

Instructor Pre-requisites
None
Instructor Co-Requisites
None
Recommended Courses
None
Other Limitations
None