596 Practicing Law with AI and Big Data

Artificial intelligence systems are already being employed at firms. Expert systems (rule-based AI) are used to automate workflows, while machine learning systems (data-driven AI) are used to manage complex litigation and provide strategic intelligence. These latter systems require large swaths of data, termed big data, to provide the computer sufficient information to perform predictions. This course will pull back the curtain on the different systems, allowing students of all skill levels to critically engage with the ethical implications of these systems on the practice of law.

NO PRIOR EXPERIENCE WITH ARTIFICIAL INTELLIGENCE, PROGRAMMING, OR TECHNOLOGY IS NEEDED FOR THIS COURSE.

Students will work with fellow “associates” to develop an expert system that enhances the firm’s pro bono efforts. Through this assignment, students will engage with AI system development from problem articulation to data discovery through to deployment. Additionally, students will evaluate and utilize AI-tools to discern risks and advise on case strategy. Students will gather the skills and knowledge necessary to become critical and ethical users of expert systems and machine learning empowered technologies through these assignments.

There are no textbook or software purchase requirements for this course. All assigned readings and software used will be available for free to each student.

Enrollment Prerequisite

Prerequisites: LAW 110 (Civil Procedure), and either L.A.W. 360AB (LARW) or LAW 300 (LARW-INT) 

Course Areas of Practice
Evaluation Methods
Reflective Writing
Group project(s)
Practical exercises
Class participation
Degree Requirements
Course Type
Simulation
Learning Outcomes
Exercise of proper professional and ethical responsibilities to clients and the legal system
Other professional skills needed for competent and ethical participation as a member of the legal profession
2021
Spring 2021
Course Number Course Credits Evaluation Method Instructor Meeting Day/Times Room

596.01 2
  • Reflective Writing
  • Group project(s)
  • Practical exercises
  • Class participation
Casandra Laskowski W 4:00 PM-5:50 PM

Artificial intelligence systems are already being employed at firms. Expert systems (rule-based AI) are used to automate workflows, while machine learning systems (data-driven AI) are used to manage complex litigation and provide strategic intelligence. These latter systems require large swaths of data, termed big data, to provide the computer sufficient information to perform predictions. This course will pull back the curtain on the different systems, allowing students of all skill levels to critically engage with the ethical implications of these systems on the practice of law.

NO PRIOR EXPERIENCE WITH ARTIFICIAL INTELLIGENCE, PROGRAMMING, OR TECHNOLOGY IS NEEDED FOR THIS COURSE.

Students will work with fellow “associates” to develop an expert system that enhances the firm’s pro bono efforts. Through this assignment, students will engage with AI system development from problem articulation to data discovery through to deployment. Additionally, students will evaluate and utilize AI-tools to discern risks and advise on case strategy. Students will gather the skills and knowledge necessary to become critical and ethical users of expert systems and machine learning empowered technologies through these assignments.

There are no textbook or software purchase requirements for this course. All assigned readings and software used will be available for free to each student.

Pre/Co-requisites

Prerequisites: LAW 110 (Civil Procedure), and either L.A.W. 360AB (LARW) or LAW 300 (LARW-INT) 

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.