For healthcare

Govern AI in the clinic. Keep PHI at home.

A six-provider practice or a 900-person multi-site group: PrivacyPal is the HIPAA-aligned on-device governance layer between your staff and every AI tool they already want to use. Ambient note-taking, prior-auth drafting, ChatGPT, Claude, Copilot, Grok, Claude Code. PHI never leaves the device. No BAA-roulette. No clinician friction. No IT department required. Compliance, by construction.

Clinician working with PrivacyPal-protected AI
Why this is hard

PHI lives in sentences, not columns

Classical DLP catches "SSN: 123-45-6789." It misses "My 68-year-old patient with a recent MI who lives alone on Oak Street." PrivacyPal's models understand context: they swap identifiers in prose, not just in tagged fields.

18 HIPAA identifiers, fully supported. Plus facility names, provider NPIs, device serials, and the long tail of quasi-identifiers that re-enable reidentification.

01 · In the patient chart
"My 68-year-old patient Margaret Chen with a recent MI who lives alone on Oak Street in Lakewood, MRN 4471-8829, presented to the ED on March 14 with chest pain…"
02 · What the LLM receives
"My 68-year-old patient Nancy Grace with a recent MI who lives alone on Pine Avenue in Brookside, MRN 8826-3142, presented to the ED on April 22 with chest pain…"
Name · §164.514(b)(1) Address · §164.514(b)(2) City · §164.514(b)(2) MRN · §164.514(b)(8) Date · §164.514(b)(3)

Clinical context intact · zero PHI on the wire · mapping held on-device · no BAA with OpenAI

Clinical & ops workflows

From the exam room to the back office

Ambient documentation

Let clinicians use Abridge, Nuance DAX or ChatGPT for note generation. PHI stays inside your Epic tenancy.

Prior authorization

Draft appeals and submissions against payer policies. Member IDs and clinical history never hit an outside model.

Patient messaging

Generate draft replies in MyChart-style inboxes. Names, diagnoses, and med lists are swapped on the way out.

Revenue cycle

Automate coding suggestions and denial analysis. Patient accounts, guarantor info, and DOBs stay protected.

Our clinicians were going to use AI either way. PrivacyPal made it a compliance story instead of a crisis.
Chief Medical Information Officer, 14-hospital IDN
Compliance posture

Compliance, by construction

Because PHI never reaches the LLM, you don't need a BAA with OpenAI, Anthropic or Google. Your existing covered-entity contracts already cover PrivacyPal: we sign a BAA, nobody downstream needs to.

HIPAA HITECH CFR State privacy laws

18 HIPAA identifiers

Name, dates, MRN, NPI, IP, photos, biometric IDs: all detected in free text and swapped.

Audit-ready logs

Every prompt, every swap, every model call: logged with user, patient context, and timestamp.

SOC 2 Type II

Annual audits. Penetration tests. Named security contact. The paperwork you need for risk review.

Which plan

Practices and groups run PrivacyPal Max

Max covers everyone who touches a chart: attach your domain, provision clinicians, front desk and billing centrally, and hold one PHI policy across every site. $30 per seat a month at 1 to 9 seats, $25 at 10, $21 at 100, billed annually. A single practitioner covering only themselves runs Pro at $7.50 a month. Health systems with a data-residency mandate run Cloud in their own VPC.

For healthcare

Safer AI at the bedside. And everywhere else.

Talk to a solution architect who's been on the hospital side of this conversation.