
For years, embeddings have been treated by the legal community as harmless, anonymized data. Instead, every prompt produces a unique internal representation, and that representation can be used to reconstruct the exact original text.

For years, embeddings have been treated by the legal community as harmless, anonymized data. Instead, every prompt produces a unique internal representation, and that representation can be used to reconstruct the exact original text.
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