Coding Suggestions Tiered Ai Coding With Justifications

A 3-page email thread discusses the contract performance dispute central to the litigation (responsive signal) AND bears a header 'ATTORNEY-CLIENT PRIVILEGED AND CONFIDENTIAL', is authored by 'Rachel Nguyen, Esq., Outside Counsel…

System assigns tier = 'privileged' (not 'responsive'). Justification explicitly quotes or directly references: (1) the author field 'Rachel Nguyen, Esq., Outside Counsel', (2) the header text 'ATTORNEY-CLIENT PRIVILEGED AND CONFIDENTIAL', and (3) the sentence 'My legal recommendation is to reject t…

A 4-page internal supply-chain memo partially overlaps with the litigation dispute subject but contains substantial non-responsive operational detail; it is classified 'borderline responsive' in the gold-standard review. The agen…

All 20 runs return the same tier assignment. The distribution is 20/0/0 across tiers (all runs agree). The agent reports discrepancy_count = 0 and does not open a re-review task for DOC-01143.

A federal agency tenant provisioned under FedRAMP authorization submits a single-document coding suggestion request for a law enforcement procurement record. A commercial tenant submits an identical document request in the same t…

Server log for the .gov tenant's request shows request_endpoint = 'fedramp_gov_boundary' AND commercial_endpoint_call_count = 0 for that tenant_id and request_id. The commercial tenant's parallel request shows request_endpoint = 'commercial_boundary'. Routing decision is logged before any LLM call …