CRA Sessions
CRA Sessions
Podcast Description
Charles River Associates’ podcast, CRA Sessions Podcast, covers issues relating to antitrust and competition, intellectual property, ESG and sustainability, management consulting, and more across a wide array of industries. CRA is a leading global consulting firm that offers economic, financial, and strategic expertise to major law firms, corporations, accounting firms, and governments around the world.
Podcast Insights
Content Themes
The podcast covers a variety of topics including antitrust and competition, intellectual property, ESG and sustainability, labor and employment issues, and innovative technologies in different sectors. Episodes include discussions on the reliability of the Western US electric system, the ethical considerations of AI in life sciences, and practical applications of AI in human resources.

CRA Sessions is the official podcast of Charles River Associates, a leading global consulting firm. Each episode features experts from across our multidisciplinary practices discussing current trends, emerging topics, casework insights, and industry news. With deep expertise in economic, financial, and strategic consulting, CRA brings rigorous analysis and proven experience to help clients navigate their most complex challenges. Tune in for thought-provoking conversations that blend cutting-edge research with practical perspectives.
AI copyright litigation is still brewing in the courts. The questions about how generative AI models are trained are central into a wave of high-stakes lawsuits involving authors, publishers, and some of the world’s largest technology companies.
A historic $1.5 billion settlement by Anthropic delivered the first significant judicial ruling on the issue. The ruling is expected to influence how courts, litigants, and experts evaluate similar claims in the growing number of AI copyright cases working their way through the legal system.
Against this backdrop, the inaugural episode of CRA Sessions: AI in Practice, examines the issues at the center of these disputes.
This episode’s host and Competition Vice President Keler Marku speaks with Abhishek Nagaraj, a CRA academic affiliate and associate professor at UC Berkeley’s Haas School of Business, about AI training, copyright, and fair use.
Drawing on his research on AI memorization and copyright, Professor Nagaraj explains why training, memorization, reproduction, and market substitution are distinct concepts, and why empirical evidence is critical to evaluating AI-related copyright claims.
The discussion examines the evidence needed to assess claims of market harm in AI copyright litigation. Drawing on economic analysis, empirical testing, and technical understanding of AI systems, the conversation explores how lawyers can develop evidence-based arguments around fair use, substitution, and the impact of AI-generated outputs on copyrighted works.
Tune in to the conversation.
About CRA Sessions: AI in Practice
CRA Sessions: AI in Practice is a podcast series that examines the legal, economic, regulatory, and technical issues emerging from the rapid adoption of artificial intelligence.
Through conversations with CRA experts and leading academics, the series helps counsel, business leaders, and policymakers better understand how AI is reshaping markets, institutions, and strategy.
Disclaimer
The views and opinions expressed in this podcast are those of the hosts and guests and do not necessarily reflect the position or policy of their organization and/or employer. The content provided is for informational purposes only and should not be taken as professional advice.

Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.