757 Artificial Intelligence and Legal Strategy

The purpose of this course is to introduce law students to the use of artificial intelligence in the legal space and to enhance their ability to conceptualize and strategize legal issues and matters more effectively by using AI.  There are classes on the fundamentals of big data and machine learning as well as the ethical, legal, and behavioral issues raised by AI.  Students will be exposed to the latest legal robots involving ediscovery and legal analytics including Everlaw, Lex Machina, Ravel, Ross, and Watson Legal. 

Grading will be based on papers addressing a series of legal problems and requesting the students to develop concepts and strategies for their resolution.  There will also be a paper for each student to present their perspectives on the future use of AI in the professional world.

Course Areas of Practice
Course Type
Seminar
Learning Outcomes
Knowledge and understanding of substantive and procedural law
2018
Fall 2018
Course Number Course Credits Evaluation Method Instructor Meeting Day/Times Room

757.01 2
  • Reflective Writing
  • Research and/or analytical paper(s), 10-15 pages
  • Class participation
Francis McGovern M 4:00-5:50 PM 3000

The purpose of this course is to introduce law students to the use of artificial intelligence in the legal space and to enhance their ability to conceptualize and strategize legal issues and matters more effectively by using AI.  There are classes on the fundamentals of big data and machine learning as well as the ethical, legal, and behavioral issues raised by AI.  Students will be exposed to the latest legal robots involving ediscovery and legal analytics including Everlaw, Lex Machina, Ravel, Ross, and Watson Legal. 

Grading will be based on papers addressing a series of legal problems and requesting the students to develop concepts and strategies for their resolution.  There will also be a paper for each student to present their perspectives on the future use of AI in the professional world.

Pre/Co-requisites
None
Enrollment Restrictions
None

*Please note that this information is for planning purposes only, and should not be relied upon for the schedule for a given semester. Faculty leaves and sabbaticals, as well as other curriculum considerations, will sometimes affect when a course may be offered.