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This Week in Startups

AI Copyright & Training Data w/ Chris Paniewski | Wilson Sonsini Startup Legal Basics

18 min episode · 2 min read
·
Chris Paniewski

Episode

18 min

Read time

2 min

Topics

Relationships, Investing, Startups

AI-Generated Summary

Key Takeaways

  • Investor Due Diligence: Every AI financing now includes forensic examination of training data sources, license agreements, and fair use claims, which can kill deals if founders circumvented paywalls or terms of service.
  • Fair Use Defense: Fair use requires transformative purpose—training books in multiple languages for translation apps qualifies, but creating summaries or substitutes for original works fails the four-factor legal test.
  • Licensing Strategy: Scraping content for proof-of-concept before licensing may work defensively, but open source and Creative Commons share-alike licenses require derivative outputs be freely shared, preventing commercial protection.

What It Covers

Wilson Sonsini partner Chris Paniewski explains AI copyright law for startups, covering training data legality, fair use defenses, investor due diligence requirements, and licensing strategies.

Key Questions Answered

  • Investor Due Diligence: Every AI financing now includes forensic examination of training data sources, license agreements, and fair use claims, which can kill deals if founders circumvented paywalls or terms of service.
  • Fair Use Defense: Fair use requires transformative purpose—training books in multiple languages for translation apps qualifies, but creating summaries or substitutes for original works fails the four-factor legal test.
  • Licensing Strategy: Scraping content for proof-of-concept before licensing may work defensively, but open source and Creative Commons share-alike licenses require derivative outputs be freely shared, preventing commercial protection.

Notable Moment

Microsoft paid Jason Calacanis twenty-five hundred dollars to license his book Angel for training data, demonstrating that direct licensing agreements remain the gold standard for legal certainty.

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Episode Transcript

Alright, everybody. Welcome back to This Week in Startups. This is our Startups Basic series. I created this series out of self interest and to help founders. The self interest was I get asked the same questions over and over and over and over and over again. And then founders have sometimes the same questions. So I thought, who can I partner with to just get all these legal issues that come up over and over again? Well, my attorneys at Wilson Sonsini are the best in the business. We all know that. So we do the startup series with them, the startup basic series with them. You can visit it at this week in startups.com/basics. Now normally, I have Becky DeGraw. She's amazing. She's helped me on many fun and some gnarly adventures in legal land and startups. But today, she introduced me one of her colleagues. His name is Chris Pajniewski and, he's a partner at Wilson Sonsini who specializes in, yes, investments, m and a for technology companies. But, Chris, you've been working with some of the biggest companies in the AI space. And we're gonna talk about AI today since you're on the front lines. Yeah? Absolutely. Yeah. I'm thrilled to be here. And so I know you worked with Scale AI. They joined forces with Meta, Jony Ive, of course, who created the iPhone along with Steve Jobs. Steve Jobs, actually, Larry Sonsini was Steve Jobs' attorney. That's right. We're continuing the legacy. Continuing the legacy. OpenAI and Jony Ive joined forces. Let's get started. Copyright and training data. This is something that is critically important. I have a passionate interest in this as a content creator. And it's taking a while to sort out what you're allowed to do with other people's content in the framing of AI. And there's really two components to this. Can I train on somebody's AI? And if so, do I need permission? And do I have to buy that work? Then there's output. There are many legal cases going on right now. The New York Times and countless others are, you know, as they should defending their rights. And then there's technological innovators who who want to make great products and need training data. So tons of disclaimers here. This is a hot button issue, lot of emotions, and it's in play. What do people need to know? Because it's also one of these situations where what you can do in America, what you can do in Israel, what you can do in China, Japan, and other places, very different. Correct? Absolutely. And so today, I think we're focusing on US law issues. But what works in The US may not work elsewhere and vice versa. So if you're a founder, one of the things you need to think about is where are you gonna launch your product? Where are you going to be conducting the training? Where are you getting data from? Because the answers and the …

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Books

  • by Jason Calacanis

    Microsoft paid Jason Calacanis twenty-five hundred dollars to license his book Angel for training data, demonstrating that direct licensing agreements remain the gold standard for legal certainty.

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