Generative AI in Corporate Law (Morales Barron)
Additional Information
Skills Training
Team Projects
Drafting Legal Documents
Other Professional Skills: Students will gain hands-on experience with various generative AI tools utilized in the legal field. They will develop proficiency in crafting effective prompts and leveraging these tools to enhance their legal research, drafting, and analytical skills.
Grading
20% Participation,
50% Paper,
30% Other (Other: drafting and markup of nondisclosure agreement using genAI tools)
No
Class meets in person.
Course Continuity
Students are encouraged to stay home if you are ill or experience flu-like symptoms. If you miss a class for any reason, it is still your responsibility to make up the work missed.
I offer the following to students who miss class due to illness:
- If you are absent, due to illness or some other unavoidable circumstance, email me and I can ask for volunteers among your classmates to share their notes with you.
- I will make PowerPoint slides or other class materials routinely available on the course site to everyone in the class.
- When you are better, please make an appointment to meet with me and I will review/answer questions about what you missed.
Meeting Times/Location
F 11:30AM - 1:30PM
Tanenbaum Hall 142
Category
Seminar
Credits
3.0
In this course we will explore the emerging role of generative AI in transforming the corporate law landscape, with a special emphasis on M&A transactions. Learn about the current and potential applications of generative AI in various aspects of the deal process, such as due diligence, document review, drafting and negotiation. Examine the legal, ethical, and social implications of using generative AI in corporate practice, from the lens of fiduciary duties, professional responsibility, client relations, competition, disclosure obligations and innovation. Draw general conclusions on current impact and best use cases of generative AI in corporate law versus future uses and effects. Revisit basic concepts and terms of M&A. Use generative AI tools in class exercises and assignments, and critically evaluate their strengths and limitations.
Course Requirements: Active participation in class discussions. Weekly reading assignments, consisting of academic articles, professional publications, and selected real deal documents. Students will also be required to complete a final project, which will be a research paper on a topic related to generative AI and corporate law.
Pre-requisites: Corporations (required); additional coursework in securities law or M&A suggested
Evaluation: Class participation (20%); individual markup of nondisclosure agreement (use of genAI is acceptable) (30%); final paper (50%)
Business and Corporate Law Learning outcomes: Demonstrate a core understanding of business and corporate law; Perform legal analysis in the context of business and corporate law; Communicate effectively on topics related to business and corporate law; Demonstrate an understanding of the interconnection between the world of business and finance and that of business and corporate law, and how they affect other areas of law and society.
Skills Learning outcomes: Demonstrate an understanding of the individual course skill; Demonstrate the ability to receive and implement feedback; Demonstrate an understanding of how and when the individual course skill is employed in practice.