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.
Advanced Negotiation Strategies for Lawyers explores the psychology and strategy behind successful l...
Adverse and derogatory information often has devastating effects on a contractor's ability to win co...
This course examines the latest legal and compliance developments in the artificial intelligence (AI...
Objections are among the most powerful — and most misunderstood — tools in a trial lawye...
During this course, you will learn about best practices and strategies for retaining intellectual pr...
Open-source AI models have gone from niche developer tools to enterprise essentials almost overnight...
Perfectionism is often rewarded in the legal profession. It drives attention to detail, thorough pre...
The Aftermath of Scams and Cybercrime: A Practical Guide to Response and Recovery examines the immed...
When the investigation concludes, the discipline is issued, and the file is closed, most organizatio...
As the largest purchaser of goods and services in the world, the United States Government requires f...