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.
During this course you will take a deep dive into federal bid protest litigation at the U.S. Court o...
Most lawyers are aware of the high-profile cases in which attorneys were sanctioned or otherwise dis...
Conducting an internal investigation that is incisive, effective and legally compliant is tough enou...
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...
Turn decades of client relationships into lasting equity. This practical CLE shows attorneys how to ...
Adverse and derogatory information often has devastating effects on a contractor's ability to win co...
I was wrongfully separated from the military and I will get no military pay and disability retiremen...
The United States Constitution is one of the most influential legal documents in history, establishi...
2026 was a very important year when it comes to federal procurement developments, Artificial Intelli...