Is CompliantChatGPT HIPAA Compliant?
Yes, with a BAA on every tier and unusually strong training-exclusion language. Its architecture differs from its competitors in a way worth understanding before you buy.
The Verdict: Is CompliantChatGPT HIPAA Compliant?
Is CompliantChatGPT HIPAA compliant? Yes. All four published plans, from Starter upward, list a Standard Business Associate Agreement included, with no enterprise gate.
Its privacy policy excludes customer content from model training. No third-party attestation is claimed anywhere we looked: no SOC 2, no HITRUST, no ISO.
Verified against CompliantChatGPT's own pricing page and privacy policy, 2026-08-05.
| BAA | Yes, on all four tiers. Each plan lists "Standard Business Associate Agreement included." Entry tier was published at $19.99/month, making this the lowest-cost BAA-inclusive path in this directory at the time of writing. |
| Trains on your data | No, and the wording is strong. Customer content "including prompts, files, audio, transcripts, outputs, or PHI" is excluded from training "whether our own or any third party's," and AI provider integrations are "configured under API terms that expressly exclude the use of Customer Content for model training." |
| Third-party certifications | None claimed. No SOC 2, no HITRUST, no ISO. Compliance is presented through architecture and contract rather than external attestation. |
| PHI handling | "PHI Guard" is described as anonymizing "all PHI categories before your data ever reaches the AI model." Encryption stated as AES-256 at rest and TLS 1.2 in transit. |
| Data retention | Configurable, and unusually so. Entry tier offers 0 hours, 24 hours, or 30 days; higher tiers extend it, with an unlimited option on the Full plan. A zero-retention setting is a real privacy control that most tools in this directory do not offer. |
| Underlying models | Named on the pricing page by tier (GPT and Gemini model families), but the model providers are not named as subprocessors in the privacy policy. See below. |
| Sources | compliantchatgpt.com pricing page and privacy policy. Read directly, publicly accessible. |
This is not legal advice, and your counsel makes the call for your organization.
A Different Architecture, So A Different Question
The other tools in this category mostly do the same thing: put PHI through a pipeline that a BAA covers, hosted somewhere defensible. CompliantChatGPT describes a different route. PHI Guard is presented as stripping identifiers before anything reaches the model, so the intent is that the model never receives PHI at all.
That is a legitimate design, and in some respects a stronger one, because a control that removes the data beats a contract that governs it. But it relocates the compliance question rather than removing it. If de-identification is the control, then the accuracy of the de-identification is the control. A single missed identifier is a disclosure, and it is a disclosure to whichever model provider sits downstream.
Which is where the gap worth asking about opens. The pricing page names the model families by tier. The privacy policy states that AI provider integrations exclude training, but it does not name those providers as subprocessors. So a buyer cannot tell from the published documentation which company receives the de-identified traffic, or what the BAA chain looks like if PHI Guard ever misses something. Ask for the subprocessor list and ask how de-identification is validated.
On "All PHI Categories"
The claim that PHI Guard anonymizes "all PHI categories" is a strong one, so it is worth knowing what the standard actually is. HIPAA recognizes two de-identification methods: Safe Harbor, which requires removing eighteen specified identifier types, and Expert Determination, in which a qualified statistician certifies that re-identification risk is very small.
Automated redaction of free-text clinical conversation is genuinely hard. Names inside quoted speech, indirect references, rare diagnoses, dates tied to events, and dictated identifiers are all common failure modes. The approach is sound, so the useful questions are narrow ones: which method do they claim, has it been independently validated, and what is the failure path when an identifier gets through.
Sized For A Practice, Not A Health System
Everything about this product points at the individual clinician and the small group, and the tier structure says so more clearly than the marketing does. Bloodwork analysis, differential diagnosis, treatment planning, SOAP notes, EHR integrations to pull one patient into one chat. For a solo provider or a five-person practice, a BAA at the entry tier with a zero-retention setting is a genuinely good answer, and cheaper than the alternatives.
The mismatch appears at scale, and it is a mismatch of shape rather than quality. This product governs a conversation. A health system needs to govern a population, including the part of that population that never filled in a purchase request. No per-seat product reaches those people, because the thing that makes them risky is precisely that they never appeared in a procurement system.
Read the tiers as the vendor telling you who this is for. If you recognize your organization in the Enterprise row rather than the Starter row, the tool is probably not your first problem.
An entry tier at consumer-software pricing is also an expense line small enough to approve itself. That is good for the clinician who needs a lawful chat window this week, and invisible to everyone else: the BAA exists, and no one in compliance knows it does. Expensed compliance tools are still seats your compliance team never counted, which is a number worth having before the next renewal.
Disclosure
AuthenTech AI operates a governed AI platform for health systems, so we compete with CompliantChatGPT for part of the same budget. Everything above is drawn from CompliantChatGPT's own published pricing page and privacy policy, with sources named and the date recorded, held to the same standard we apply to ourselves. Where their posture leads the category, such as BAA coverage at the entry tier and the training-exclusion wording, we have said so.
CompliantChatGPT and HIPAA: Common Questions
Does CompliantChatGPT sign a BAA?
Yes. All four published plans list a Standard Business Associate Agreement included, so coverage is not gated behind an enterprise contract. It is one of the few tools here where the entry tier carries a BAA.
Does it train on our clinical data?
No, and the language is the strongest in this directory. Its privacy policy states that customer content including prompts, files, audio, transcripts, outputs, and PHI is not used to train, develop, or improve any AI model, whether their own or any third party's, and that AI provider integrations are configured under API terms that expressly exclude training use.
Is CompliantChatGPT SOC 2 or HITRUST certified?
No third-party attestation is claimed anywhere we reviewed. Compliance is presented through architecture and contract rather than external audit. That is not disqualifying, but if your procurement process requires a SOC 2 report you should establish early whether one exists, because unlike some competitors they do not even claim an inherited infrastructure certification.
How does PHI Guard work, and is it enough?
It is described as anonymizing all PHI categories before data reaches the AI model, so the design intent is that the model never receives PHI. That is a sound approach, but it moves the compliance question onto the de-identification itself. Ask which HIPAA method they claim, Safe Harbor or Expert Determination, whether it has been independently validated, and what the failure path is when an identifier is missed.
Which AI provider receives our data?
The pricing page names model families by tier, but the privacy policy does not name the model providers as subprocessors. So the published documentation does not tell you which company receives your traffic. Request the subprocessor list before contracting; it determines whose terms sit downstream of your BAA.
Is it enough for a whole health system?
No, and it is not built for that. The tier structure, feature set, and pricing all point at individual clinicians and small practices. For a health system the sequencing is what matters: discover what AI is already in use across the workforce, then choose what to sanction. A per-seat tool is an answer to the second question, never the first.
Is this legal advice?
No. This is not legal advice, and your counsel makes the call for your organization.
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