Building a Plan for Monetizing Your Data in an AI Ecosystem

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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:

• Analyze the Technical Interplay Between Data and AI: Identify the key components of machine learning and artificial intelligence to better understand how data quality and "readiness" impact legal valuation.
• Evaluate Current Regulatory and Policy Trends: Interpret the latest U.S. government policies and executive guidance regarding data privacy, security, and AI development.
• Assess Litigation Risks and Precedents: Synthesize current U.S. case law updates regarding Fair Use, copyrightability of AI-generated content (authorship), and the status of AI-assisted innovations (inventorship).
• Implement Best Practices for Data Governance: Develop an actionable outline for a corporate monetization policy that balances commercial goals with risk mitigation and intellectual property protection.

To register for the upcoming live webinar, please check back later.