AI Compliance & Risk Monitoring Agent
RegTech decision-support for regulatory compliance review.
A RAG-based platform that analyzes documents against GDPR, HIPAA, and CCPA requirements, built as a decision-support tool for legal and compliance teams — not a substitute for legal counsel. Designed around grounded citations, confidence-gated outputs, multi-jurisdiction conflict detection, and an immutable audit trail.
Overview
Reviewing documents against GDPR, HIPAA, and CCPA takes expert judgment, and an AI tool should support that judgment rather than replace it. This RAG-based platform analyzes documents against all three frameworks and is built, structurally, as decision support for legal and compliance teams, not a replacement for legal counsel: that framing lives in every output and in the review workflow itself, not just in the terms of service. It is live and deployed for its first client.
Key figures
3
regulatory frameworks covered (GDPR, HIPAA, CCPA)
0.65
confidence threshold that triggers mandatory human review
100%
of responses carry a legal disclaimer + audit log entry
How it works
Analyze against the regulations
Documents are analyzed against GDPR, HIPAA, and CCPA requirements using a retrieval-augmented (RAG) pipeline.
Cite the exact clause
Every citation is tied to a specific clause version of the relevant regulation, so reviewers can check the source directly.
Escalate low confidence to a human
When model confidence falls below 0.65, the response is flagged requires_human_review and shown in the dashboard as "Low Confidence — Manual Review Required". Human escalation is built into the product, not bolted on.
Frame every answer safely
Every API response includes a legal_disclaimer field that frames the output as informational, not legal advice.
Log every analysis
An immutable audit trail records every analysis, so each result can be traced after the fact.
Key features
Multi-jurisdiction regulation coverage
Hallucination-contained citations
Confidence-gated human escalation
Immutable audit trail
Legal-safe output framing
Trust & security
Every analysis is recorded in an immutable audit trail
Every API response carries a legal_disclaimer field — output is framed as informational, not legal advice
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