Discovery & Research for Compliance & Regulated Operations

Discovery and Research workflows ask the system to find the right documents and synthesize what they say, with the citations being more important than the synthesis. Citorum's hybrid retrieval pipeline combines dense vector similarity over the embeddings of every document chunk, full-text search via Postgres' built-in indexing, and metadata filtering against tags, dates, jurisdictions, document types, and access-control attributes. Results are scored, deduplicated, and rank-fused into a context window.

The model produces a research summary; the audit log captures every document that contributed, every citation rendered, and the faithfulness score on every claim. The reviewing analyst — paralegal, compliance officer, claims coder, briefer — clicks through to source spans rather than relying on the summary verbatim. The pattern works because the citations are first-class output, not a footnote.

Compliance and risk teams sit at the intersection of every regulated workflow in the organization. Their corpus — policies, procedures, control narratives, audit findings, vendor agreements, attestations — is dense, frequently revised, and load-bearing for every audit response and regulatory inquiry the company receives.

Citorum runs inside the company's environment and indexes that corpus with chain-of-custody attached at ingestion. The everyday workflows are policy and control Q&A ("does this control cover that audit finding?"), audit-evidence discovery (finding the documents that substantiate a control), audit-response and regulatory-filing drafting with citations to the specific policy paragraphs that ground each claim, and risk knowledge Q&A across the control framework — each producing answers with faithfulness labels so a compliance officer doesn't sign off on a Do Not Rely response by accident.