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Copy, Paste, Liability: AI Copyright Pitfalls and How to Avoid Them

Mass web-scraping for AI training, authorship of AI-generated works, and the scope of fair use in data-hungry systems are reshaping what “copyright risk” even means for a business. Companies that treat copyright as a mere box-checking exercise, or that assume long-standing internal practices are low-risk, increasingly find themselves out of step with how courts and regulators are thinking about AI-driven uses of content.

10 minute read May 01, 2026 at 12:07 AM
By
Kristin Hardy and Spencer Pedemonte
Copy, Paste, Liability: AI Copyright Pitfalls and How to Avoid Them

Sophisticated companies tend to think of copyright as an issue for consumer-facing brands, media companies, or lone creators, not for themselves. Yet copyright questions now surface in everything from pitch decks and marketing campaigns to internal training sets for AI tools.

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