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Data, Privacy & LegalHard· Data Governance· Model Training· Compliance· RAG

Legal needs a licensed corpus removed from the product...

The dispute is incorrectly framed as a choice between model performance and legal compliance. By separating the knowledge storage, you can satisfy both requirements. The model weights (θ) should be retrained on low-risk data to maintain general capabilities, while the encumbered corpus is moved to a retrieval-augmented generation (RAG) store. This allows for compliance-driven deletion as a simple index operation rather than a costly and time-consuming model retraining process.

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