Integration & compliance

HIPAA-Ready LLM for Genomic Reporting

A BAA-backed, zero-retention LLM pipeline built specifically for PHI workflows at diagnostic labs. Consumer-grade AI tools can't touch patient data. This is the architecture — and the paperwork — that can.

BAA on Enterprise tierZero-retention APIUS-only residencyFull audit logging

Most AI vendors quietly aren't HIPAA-ready

When your legal team asks “can this vendor handle PHI?” the vendor's answer is often some variation of “yes, we're secure” — which is not the same thing. HIPAA readiness for an LLM-based workflow is a specific set of four conditions that must all hold simultaneously. Most AI vendors check one or two and hope no one notices.

HIPAA conditionTypical AI vendorUNMIRI
Signed BAA with customerAvailable only on $$$ enterprise tier, if at allAvailable on every paid tier
BAA with downstream LLM providerOften absent or unclearAnthropic HIPAA-ready API with signed BAA
Zero-retention of PHIVague 'we don't store it' assurancesContractually enforced, documented in BAA chain
BAA with infrastructure (hosting, DB, storage)Rarely addressedVercel + AWS BAAs
US-only data residencyOften not guaranteedEnforced at region-config layer
Audit logging of PHI accessSometimesEvery read/write logged with user + timestamp
Training on customer dataDefault opt-in on consumer tiersContractually forbidden on enterprise tier

The architecture, briefly

PHI enters via a single authenticated endpoint, is processed in-memory through the GraphRAG pipeline, and exits as either structured JSON or a rendered PDF. Nothing about the patient persists in UNMIRI systems after the response is sent. The LLM call itself happens over an enterprise-tier API with a signed zero-retention BAA — the provider contractually cannot store or learn from the prompt.

Read the full architecture. Our engineering post walks through the data-flow diagram, BAA chain, encryption boundaries, and practical checklist for building a HIPAA-ready clinical AI architecture: Building a HIPAA-Ready Architecture for Clinical Decision Support.

What your procurement team receives

Before pilot kickoff, we provide a compliance package ready for your legal and compliance review:

  • UNMIRI BAA — executable, not boilerplate. Reviewed by healthcare counsel.
  • Data-flow diagram — every PHI touchpoint labeled with provider, BAA status, and retention policy.
  • Downstream BAA references — Vercel, AWS, Anthropic — confirmed active.
  • Zero-retention attestations — direct references to enterprise-tier API terms.
  • Access controls summary — RBAC model, audit log retention, incident response.
  • SOC-2 Type II roadmap — honest about timing (Q4 2026 target). No false claims.

What “HIPAA-ready” does not mean

We say “HIPAA-ready” deliberately. UNMIRI does not claim “HIPAA-certified” (not a thing), “HIPAA-approved” (also not a thing), or “fully compliant” in a way that suggests external audit. We claim a BAA-backed, zero-retention, US-residency architecture with the paperwork to prove it — and we mark SOC-2 Type II as roadmap until the audit is done. Lab procurement teams respect honesty here; they catch the difference instantly.

Full compliance posture is on the security page.

How UNMIRI actually does this

Clinical reasoning lives in a Neo4j knowledge graph grounded in OncoKB, ClinVar, ClinicalTrials.gov, and openFDA. The 2-page output is rendered by deterministic templates — not by an LLM. Anthropic is the single LLM subprocessor, scoped to extraction edge cases and long-tail variant fallback on de-identified data only. BAAs are in place with every PHI-touching service. More on the architecture.

Frequently asked questions

There is no HIPAA certification for LLMs — HIPAA readiness is a property of the entire data-handling architecture. For an LLM pipeline to be legitimately HIPAA-ready, the LLM provider must offer an enterprise tier with a signed BAA and zero-retention guarantee, all infrastructure touching PHI must be BAA-backed, access must be logged and role-restricted, and data residency must be controlled. UNMIRI enforces all four.

Hand this page to your legal team.

BAA, data-flow diagram, and zero-retention attestations ready before pilot kickoff. Most AI vendors can't produce these.