Cayman Islands Fall Intersession Program Courses

*Tentative as of 9/10/25

WEEK 1 (December 27-30, 2025)

LAW AND THE REINSURANCE CRISIS (1 Credit)

INSTRUCTOR: Tim Kaye, Professor of Law, Stetson University College of Law, Gulfport, Florida

 Insurance is heavily regulated in the US and, in the majority of cases, insurance policies can be sold only by businesses approved by the relevant state. In many states, the number of approved insurers is low, so that the risks covered are inadequately spread. In order to address this, insurers typically buy reinsurance to reduce their risk exposure. Reinsurers do not have to be approved by the state and so — in theory — reinsurance can be bought from the global marketplace.

This class will look at how reinsurance works in practice, and at the legal framework within which it operates. It will also explore alternatives to reinsurance, as well as tools that could be used alongside reinsurance (such as Florida’s ad hoc Optional Reinsurance Program) to see what longer-term approaches might be adopted to avoid the prospect of thousands — maybe millions — of people losing their properties while their insurers are insolvent.

Course Objectives

  • Program Outcome 1: Demonstrate understanding of substantive and procedural law sufficient to enter the legal profession and professions in which legal knowledge is an advantage.
  • Program Outcome 2: Demonstrate sophistication in legal analysis, reasoning, and problem-solving.
  • Program Outcome 3: Gather and interpret relevant facts.
  • Program Outcome 4: Communicate effectively in writing and orally.
  • Program Outcome 5: Exercise professional and ethical judgement.

WEEK 2 (January 2-5, 2026)

AI, INNOVATION & THE LAW: BUSINESS AND LEGAL RISKS IN THE DIGITAL ECONOMY (1 Credit)

INSTRUCTOR: Jason Nathu, Tutor, Attorney-At-Law, Legal Aid Clinic, Hugh Wooding Law School, St. Augustine, Tunapuna, Trinidad and Tobago 

This course explores the intersection of artificial intelligence, innovation, and the law, with a focus on the legal, ethical, and commercial challenges that arise in the global digital economy. Students will examine how AI is being deployed in areas such as financial services, creative industries, and legal practice, and will analyze the legal frameworks developing to govern its use.

Topics include liability for autonomous systems, IP protection for machine-generated content, data privacy, algorithmic bias, and the integration of AI in business decision-making. Through case studies, simulations, and group exercises, students will gain practical tools for advising innovation-driven businesses and navigating the evolving legal landscape surrounding emerging technologies.