Generative AI platforms can create diverse content, such as marketing materials, translations, and source code. However, they also raise various legal issues, such as who owns the output, whether it infringes on existing works, and whether it is eligible for protection. As generative AI becomes more widespread and used by employees in different industries, companies need to be careful about how they adopt and use these platforms, especially how they handle the output and integrate it with other information.
This program, by Emily Tait and Carl Kukkonen, will discuss the legal challenges of using generative AI, and the potential impact of the U.S. Supreme Court’s ruling in Warhol Foundation v. Goldsmith.
AI agents — autonomous systems capable of planning, deciding, and acting independently across ...
The Twelfth Juror: Lessons on Jury Selection from a Trial Lawyer’s Novel and a Trial Consultan...
This program provides trial attorneys with a thorough grounding in the three principal currency repo...
Perfectionism is often rewarded in the legal profession. It drives attention to detail, thorough pre...
AI tools are advancing faster than legal organizations can absorb them. This program examines why th...
New York City’s new Non-Primary Residence Property Surcharge—commonly known as the pied-...
This course on trade secrets litigation provides real-world best practices through all key stages of...
Class action waivers in arbitration agreements remain enforceable, but a decade of U.S. Supreme Cour...
This program will discuss how to design and implement legally sound diversity, equity, and inclusion...
During this course, you will learn about best practices and strategies for retaining intellectual pr...