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.
Adverse and derogatory information often has devastating effects on a contractor's ability to win co...
This program provides a practical roadmap to mastering every stage of the discovery process in civil...
This program provides trial attorneys with a thorough grounding in the three principal currency repo...
This course on trade secrets litigation provides real-world best practices through all key stages of...
I was wrongfully separated from the military and I will get no military pay and disability retiremen...
The practice of law places legal professionals under extraordinary and often chronic stress, making ...
As the largest purchaser of goods and services in the world, the United States Government requires f...
During this course you will take a deep dive into federal bid protest litigation at the U.S. Court o...
Class action litigation continues to expand in both number of filings and monetary exposure, with se...
Lawyers lose hundreds of billable and operational hours every year to poorly managed meetings. Unfoc...