Why AI copyright is different now

Lawsuits set public rules; contracts set private ones. A media attorney on how leverage, timing, and context decide the path.

In this episode, Pete Pachal sits down with corporate and transactional attorney Jason Henderson, a streaming and licensing specialist who also happens to be a creative with real skin in the game. Jason breaks down why the popular “AI learns like humans” analogy only goes so far, how fair use really works in court, and why the future will be shaped less by courtroom theory and more by deal structures. The key parts of those deals that are often overlooked: indemnification and who actually bears the risk when things go sideways.

From The New York Times and Perplexity headlines to the practical mechanics of licensing training data, this conversation gets grounded fast. Jason explains what matters most to media companies, what smaller publishers should watch, and why agentic browsing and attribution are shaping up to be the next pressure point.

Why this matters: Media is facing a new kind of competition. Not always a stolen article, but a substituted experience. When AI tools summarize, synthesize, and answer in real time, the legal question is not only “Was it copied?” It is also “Does it replace the market for the original?” Jason outlines how courts evaluate that, why “transformative” is both the key term and the messiest one, and why the industry is drifting toward partnerships and licensing frameworks even as litigation continues.

At the same time, the next wave is not just training bots or search bots. It is agents that behave like users and may be harder to block or even detect. The more AI becomes the interface to the web, the more urgent it becomes for publishers to understand the business and legal stakes.

Key Takeaways

Fair use is not a blanket shield. Courts look at purpose, transformation, and market impact, and the facts matter.

Legitimate acquisition matters. Even if a use might be transformative, piracy can change the legal posture dramatically.

Media’s biggest fear is substitution. Summaries and AI answers can erode subscriptions, traffic, and trust, even without verbatim copying.

Deals are becoming more specific. Expect narrower permissions and more constraints on how data can be used for training or product features.

Risk is moving through contracts. Indemnification is common, but it is only as strong as the indemnifier’s balance sheet and insurance.

Attribution is the missing bridge. A clear “this came from” pathway could reduce conflict and rebuild value for original publishers.

Agentic browsing will raise the temperature. When AI acts as a user proxy, blocking and enforcement become harder, and the business questions get sharper.

👤 Guest
🔗Jason Henderson   
🔗Senior Attorney, JWL International   
🔗Founder, Castle Bridge Media     
🔗Co-host, Castle of Horror podcast (horror movie coverage)

About the show: To explore more conversations like this and see what’s new, visit the freshly updated Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started.

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Produced by Pete Pachal and Executive Producer Michele Musso
Edited by the Musso Media Team 

Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0

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