As artificial intelligence becomes the engine of the global economy, the value of "AI-ready" data has reached an all-time high. For many businesses, proprietary data is a dormant asset that, with the right curation and monetization strategy, can be converted into a significant revenue stream. However, navigating this landscape requires a sophisticated understanding of evolving intellectual property boundaries and regulatory expectations.
This program provides attorneys with a comprehensive roadmap for advising clients on data monetization. We will explore the technical fundamentals of machine learning data sets, analyze the shifting landscape of U.S. litigation—including pivotal disputes over Fair Use, authorship, and inventorship—and provide a practical framework for developing robust, legally sound data monetization policies.
Learning Objectives - By the end of this session, participants will be able to: