AI for investigators, with the source attribution your client expects.
OSINT aggregation, sanctions screening, KYC enrichment, due diligence copilots, investigative timeline construction. Designed to strengthen source verification, not bypass it.
In your work, the citation is the product.
An investigative finding without traceable sources is worse than no finding at all. We architect AI for investigators with that principle as a hard constraint: every claim has a source, every source has a confidence score, every consequential decision has a human in the loop.
The volume problem in corporate intelligence is real — there is too much public information to read manually. AI lets you read all of it. The judgment problem is also real — AI doesn't know which signal matters. We design for AI to do the reading and humans to do the judging.
Six investigative workflows AI changes immediately.
OSINT aggregation agents
Continuous monitoring of public sources across jurisdictions and languages, automatic de-duplication, signal scoring, investigator-ready briefings.
Sanctions screening & PEP matching
Auditable matching against OFAC, EU, UN, and country-specific sanctions lists. PEP and adverse-media enrichment with citation traceback.
KYC / KYB enrichment
Beneficial-ownership tracing, corporate-registry aggregation across jurisdictions, ultimate-beneficial-owner identification with documented sources.
Due diligence copilots
First-pass diligence packages from public-record collection, adverse-media review, litigation history, regulatory enforcement databases.
Source verification & cross-checking
AI-assisted source triangulation, claim-by-claim verification suggestions, surfacing contradictions across source sets.
Investigative timeline construction
Multi-source timeline assembly from documents, communications, and public records. Structured outputs ready for client reports.
The regulatory map.
- FCPA / UK Bribery Act — high-volume of investigations touch anti-bribery contexts.
- OFAC, EU, UN sanctions regimes for sanctions-screening workflows.
- BSA / AML for KYC enrichment work serving financial services clients.
- SOC 2 — required by sophisticated corporate clients.
- GDPR + PIPEDA for cross-border investigative data flows.
- Client confidentiality / privilege for work performed under attorney-direction.
Full compliance hub: /ai-compliance/.
Frequently asked questions
Does AI weaken investigative source-verification standards?
Only if you use it lazily. Our investigative copilots are designed to strengthen source verification, not bypass it: explicit source attribution on every claim, citation tracebacks, confidence scoring on extractions, and human-required sign-off on consequential findings. The AI does the volume work; the investigator does the judgment work.
Can we use AI for sanctions screening without breaching OFAC requirements?
Yes, with proper architecture. Sanctions screening AI must produce traceable, auditable matches, must not auto-act, and must log every decision with the reasoning the model used. We've built systems that satisfy bank-grade and corporate-compliance sanctions screening — same architectural rigor, applied to a different use case.
What about client confidentiality across investigations?
We architect for strict per-client and per-matter isolation. Cross-investigation pattern matching, where useful, happens on anonymized aggregated layers with explicit client consent. Investigation-specific document sets remain in client-scoped vector stores with hard isolation boundaries.
Do you work with both inside-counsel investigation teams and outside firms?
Both. Inside-counsel teams typically want embedded AI inside their existing case management. Outside firms (Kroll, Mintz, Nardello-style) want multi-client architectures with strict isolation. Different shapes, same underlying principles.