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.
This course is meant for lawyers of all levels and areas of practice, and in it, we will explore way...
Class action waivers in arbitration agreements remain enforceable, but a decade of U.S. Supreme Cour...
Class action litigation presents significant legal and business challenges for employers and corpora...
2026 was a very important year when it comes to federal procurement developments, Artificial Intelli...
Lawyers lose hundreds of billable and operational hours every year to poorly managed meetings. Unfoc...
Data privacy remains one of the most rapid areas of growth in the class action space. Plaintiffs con...
This seminar concerns a scope, jurisdiction, and exceptions to the Federal Arbitration Act. The Act ...
As the largest purchaser of goods and services in the world, the United States Government requires f...
This program provides trial attorneys with a thorough grounding in the three principal currency repo...
Confidentiality Agreements (also called NDAs) are too often treated as routine. So routine, th...