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A:
To prove the provenance of AI-generated documents in a legal context, watermarking must be implemented consistently across different suites and document formats. The strongest method combines invisible, embedded watermarks from the AI model itself with a robust, metadata-based provenance chain managed through a blockchain or secure database.
The approach has two key components: Generative watermarking and a trusted content provenance system.
This embeds a subtle, imperceptible signal into the content as it is being created by the AI model. For legal purposes, this is more robust than a post-generation watermark that can be easily removed.
This method securely records metadata and proof of origin, independent of the content itself. The most robust implementations use blockchain technology to create an immutable and verifiable record.
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