Scan your training data for copyright risks. Generate a cryptographic Bill of Materials to secure your IP.
Precedent set for training on copyrighted works
Average cost to retrain a foundation model from scratch
Algorithmic disgorgement destroys your core AI asset
The FTC has pioneered "algorithmic disgorgement"—forcing companies to delete AI models built on improperly obtained data. This isn't a fine. It's asset destruction. Years of R&D, millions in compute costs, your competitive advantage—gone.
The copyright litigation wave is accelerating. Courts are forcing disclosure of training data. The $1.5B settlement sets a price: roughly $3,000 per infringed work. With training datasets containing millions of items, the potential liability is catastrophic.
Investors are taking notice. Due diligence now includes "IP cleanliness" audits. No one wants to fund a model that might be deleted by regulators.
Lucid's Clean Data Auditor scans your training datasets against known copyrighted corpora and generates a verifiable Bill of Materials. You get documented proof of data provenance—evidence that satisfies regulators, courts, and investors.
Automated detection of content from Books3, The Pile, known pirate libraries, and copyright-restricted sources.
Verification that all training data licenses permit your intended use (commercial, derivative works, model training).
Cryptographically signed manifest of all training data sources, versions, and license terms.
Scans against all major known infringing corpora
Hardware-secured logging of all provenance checks
Documentation package for M&A and funding rounds
Prove your model was trained clean—before regulators or plaintiffs ask.