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.
Part 2 - This program will continue the discussion from Part 1 focusing specifically on cross?examin...
In “Choosing the Right Business Entity,” I will walk through the issues that matter most...
Disasters, whether natural or manmade, happen. Disasters can impact the practice of law and, among o...
In this second segment we will continue with our journey into the multiple elements of high-level ne...
In this seminar, we will talk about the process of taking a deposition, why you should (or should no...
Explore the transformative potential of generative AI in modern litigation. “Generative AI for...
This program provides a detailed examination of the Black Market Peso Exchange (BMPE), one of the mo...
Part 1 - This program focuses specifically on cross?examining expert witnesses, whose credentials an...
The filing of multiple RICO complaints in federal courts in New York State against plaintiffs’...
Effective data privacy and artificial intelligence governance programs do not happen by accident. Th...