Guides for AI teams licensing proprietary data
Practical guides for data acquisition teams: how licensing data from businesses works, how it compares with synthetic and scraped data, what to check before you sign, and how the key license terms work.
- How to license proprietary data
How to license proprietary data for AI training: write a spec, pick a sourcing route, review samples and rights, de-identify, negotiate terms and take delivery.
- Licensed vs synthetic vs scraped data
Licensed vs synthetic vs scraped data for AI training: what each does well, where each fails, cost and time trade-offs, and how AI teams combine them.
- Due diligence checklist
A training data due diligence checklist for AI teams: chain of title, contracts, consent, personal and sensitive data, code licenses, export controls and QA.
- License terms explained
AI data license terms explained: permitted use, field of use, exclusivity, duration, model ownership, deletion, audit, warranties, refreshes and payment.
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Updated 3 October 2026.