Legal Contract Review Retrieval: Tenant Isolation Through Bounded, Traceable Context
Short answer: use a staged retrieval design in which every legal document belongs to an explicit collection, every query is bounded to the intended tenant and access scope, and every returned passage carries a source URL or document identifier that a reviewer can inspect. Candidate Put it in the trial when... Pass/fail focus Unified REST option You want a self-describing surface without adding…
To enforce tenant isolation in legal contract review retrieval, treat it as a contract rather than a similarity-search demo. The user-visible answer should define which tenant may contribute text, allowed access-control values, and the source identifier that must accompany each passage. Map these rules before selecting an embedding model or tuning top-k.
Use explicit collections as boundaries, making the intended corpus visible at query time. Preserve finer authorization context by attaching tenant and access-control metadata to every indexed item. Implement a staged flow that selects the collection, applies the bounded query, retrieves candidate passages, and returns source URLs or document identifiers with the context for review.
Never allow passages from one tenant to appear in another's retrieval results, even if the contracts contain identical clauses or language. The retrieval stage must reject any result that crosses the boundary before generating the final output. The unified REST option provides a public, self-describing interface with a JSON Schema and runnable examples in multiple languages, but isolation confirmation comes from running hostile corpus tests and pass/fail checks against each candidate.
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