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California AB 1979: Health Chatbots Come Under the CMIA

AB 1979 is mostly reported as the bill that keeps clinicians in charge of clinical AI. The part that reaches more companies is one new subsection of the Civil Code: offer a health care chatbot to consumers and California's medical privacy law treats you like a clinic.

VerdictIf your chatbot takes symptoms, records, wellness data or medication questions from people in California and you market it as helping with their health, plan as if the CMIA applies on January 1, 2027. Get chat content out of ad pixels and analytics first, then rebuild consent as a CMIA authorization, then put your LLM vendor contract on the same footing.

5 min readBy Johnie T YoungLast reviewed
California AB 1979: Health Chatbots Come Under the CMIA

A doctor in a white coat touching a tablet screen, representing health chatbots and patient data covered by California AB 1979 Image: Pexels, used under the Pexels License.

Yes, from January 1, 2027 a company that offers a health chatbot to people in California can be a "provider of health care" under the state's Confidentiality of Medical Information Act (CMIA), with the same duties and penalties as a clinic. AB 1979, by Assemblymember Mia Bonta, was approved on September 30, 2026 as Chapter 854. Holland & Knight's alert and our own September 30 roundup led with its rules on AI in clinical decisions. For a software company, the chatbot clause matters more, because it reaches businesses that never thought of themselves as health care.

Use this if you build or run a symptom checker, a wellness or nutrition coach, a medication helper, a patient-portal assistant or any AI feature that asks people about their health, and some of your users are in California. If you only use AI inside a clinic, skip to the section on clinical decision support near the end.

The four-part test in Civil Code 56.05 and 56.06

AB 1979 adds a definition to Civil Code 56.05 and a new subdivision (f) to 56.06. A product is caught only if all four conditions hold.

# Condition Statute wording (abridged)
1 A generative AI system with a natural language interface that gives "adaptive, human-like responses to user inputs" 56.05(i)(1)
2 It "is marketed as facilitating or supporting health services to a consumer" 56.05(i)(2)
3 It uses health care chatbot information: physical or mental "health or wellness" information the user provides, lets it access, or that it collects, generates or infers 56.05(i)(3)
4 The business offers it to a consumer to let the person manage their own information, or "for the diagnosis, treatment, or management of a medical condition" 56.06(f)

Civil Code 56.05(i) as added by AB 1979: the definition of a health care chatbot, with its three prongs and the definition of health care chatbot information Screenshot: AB 1979, Chapter 854, Section 2 (Civil Code 56.05(i)), leginfo.legislature.ca.gov. Captured November 1, 2026.

Two details in that text do most of the work. "Wellness" in prong 3 can pull in sleep, diet and fitness data, not just diagnoses, on our reading. And "inferred" means a model's guess about a condition counts even if the user never typed the word.

The status has limits. The bill says it does not make the business "a provider of health care for purposes of any law other than this part." It does not make you a HIPAA covered entity. It does make you keep "the same standards of confidentiality" as a provider and face the same penalties, under 56.06(g) and (h).

Six product types run through the test

No regulator has issued guidance yet; we found none on the Attorney General's or the Medical Board's sites on November 1, 2026. This table is our reading of the text, not a legal opinion.

Product Prongs 1 to 3 56.06(f) purpose Our reading
General assistant with no health marketing 1 and 3 yes, 2 no Not marketed for it Outside, until a health-branded mode or product ships
Consumer symptom checker All three Diagnosis or management Inside
Wellness, sleep or nutrition coach All three if marketed as supporting health services Arguable: "manage the individual's information" is broad Treat as inside
Mental health chat app All three Already covered Already a provider under existing 56.06 rules for mental health digital services
Clinic or portal assistant answering patients All three Management of a condition Inside, and the clinic is a provider anyway
Staff-only clinical assistant, or a white-label model sold to a clinic Not offered to a consumer No Outside 56.06(f); the clinic's own CMIA duties and the vendor contract govern

The first row is the one to watch. Bonta's office tied the bill to big-platform launches: its August 27 release says "Microsoft launched Copilot Health, a consumer-facing AI service" and that "similar products have been launched by OpenAI and Anthropic." Bonta's own line, repeated in the nurses' union release after the signing: "AB 1979 does that by ensuring medical records stay protected when accessed through direct-to-consumer health chatbots." The target is products sold as health tools, not every chatbot that hears the word "headache."

Camino Strategy Group, a health care consultancy, described the gap the bill closes: "a lot of wellness apps and DTC platforms have operated on the assumption that they aren't HIPAA covered entities, so health privacy rules didn't really apply to them." In California, that assumption gets much harder to hold onto on January 1.

What the CMIA costs when it applies

The penalties are why this matters for a ten-person company. The CMIA allows a patient to sue for a negligent release without showing any harm.

Exposure Amount Section
Patient's own claim for a negligent release $1,000 nominal damages, no actual damages needed, plus actual damages 56.36(b)(1)
Patient's claim for use or disclosure in breach of 56.10 (and a few other sections) that caused economic loss or personal injury Compensatory damages, punitive up to $3,000, attorney's fees up to $1,000, costs 56.35
Negligent disclosure, public enforcement Fine or civil penalty up to $2,500 per violation 56.36(c)(1)
Knowing and willful, by someone not a licensed professional Up to $25,000 per violation 56.36(c)(2)(A)
Knowing or willful use for financial gain Up to $250,000 per violation, plus disgorgement 56.36(c)(3)(A)
Violation causing economic loss or personal injury Misdemeanor 56.36(a)

Civil Code 56.36(b) and (c): nominal damages of $1,000 for a negligent release without actual damages, and fines of $2,500, $25,000 and $250,000 per violation Screenshot: California Civil Code 56.36(b) and (c), leginfo.legislature.ca.gov. Captured November 1, 2026.

An illustration, not a prediction: a negligent leak of chat logs touching 10,000 California users is, on paper, 10,000 claims at $1,000 each, or $10,000,000 before any fine. The defense in 56.36(e) against nominal damages is written for HIPAA covered entities and business associates that meet its conditions, so a consumer chatbot that is neither cannot lean on it.

Steps before January 1, 2027

  1. Inventory every health-adjacent flow. List each place a user can type or upload health or wellness information, and each place your model infers it. Mark which are marketed as health features. That list is your scope.
  2. Take chat content out of ad pixels and analytics. Section 56.10(d) bars a provider from sharing, selling or using medical information "for a purpose not necessary to provide health care services to the patient" without express authorization. Session replay, ad pixels and product analytics that capture message text are the first thing to cut.
  3. Rebuild consent as a CMIA authorization. A click-through privacy policy is not one. Under 56.11 the authorization must be handwritten or in type no smaller than 14-point, set apart from other language with a signature that serves no other purpose, signed and dated, and must state the specific uses, the recipients and an expiration that defaults to one year or less. The user gets a copy.
  4. Put your LLM vendor on the record. 56.10(c)(3) allows disclosure to an entity providing "medical data processing, or other administrative services for providers of health care or health care service plans," and the recipient may not further disclose it. Whether an LLM API fits that phrase is untested, so the contract has to do the work: no training on your traffic, no reuse, a retention limit and breach notice. Our HIPAA AI vendor guide lists which vendors sign such terms.
  5. Lock down storage. 56.101(a) requires that medical information be created, stored and destroyed "in a manner that preserves the confidentiality of the information," and negligence there triggers the 56.36 remedies. Encrypt chat logs, set a deletion schedule and restrict staff access.
  6. Decide on training. Using conversations to train or fine-tune a model is the use most likely to be challenged as "not necessary to provide health care services." Our reading is that it needs an authorization. That point is unsettled; if you want the data, ask for it in a separate 56.11 form.

The case that shows how these claims are pleaded

We found no CMIA suit against a health chatbot yet. The closest is an AI scribe case. In Washington v. Sutter Health (N.D. Cal., No. 4:26-cv-03012), the April 2026 complaint by three patients against Sutter Health and MemorialCare over the Abridge ambient scribe paired wiretap claims with a CMIA count. The current version, the second amended complaint filed August 5, 2026, names only Sutter Health and one plaintiff, Christina Washington. Its paragraph 26 reads: "Sutter Health further failed to obtain written authorizations that satisfy the requirements of CMIA before transmitting or disclosing patients' medical information through the Abridge platform."

Sutter filed two motions to dismiss the second amended complaint on August 19, 2026. The CourtListener docket we read on November 1 shows no ruling, and the last filing was on October 27. Swap "Abridge platform" for your model provider and that paragraph is the template for a claim against a health chatbot after January 1. It is also why step 3 matters more than any disclaimer.

If you run a clinic: the other half of AB 1979

AB 1979 also adds Business and Professions Code 22758.5. A health facility, clinic, physician's office or group practice must take "reasonable steps" so that a licensed provider "retains the ability to exercise independent professional judgment" when care is informed by a clinical decision support system. It may not use AI to direct or supervise unlicensed staff in licensed clinical functions, or to perform such a function on its own. Booking, reminders, patient education and documentation that involves no professional judgment are outside it. Violations by physicians go to the Medical Board of California or the Osteopathic Medical Board. Existing law under AB 3030 already requires a disclaimer and a route to a human on generative AI messages about clinical information. Our September 30 signings tracker covers SB 503, the companion bias rule.

What to log

  • The date each health feature was classified, and the reasoning for each row of the product table
  • Every third party that receives chat content, with the contract clause that limits its use
  • Signed authorizations, versioned, with their expiry dates
  • Deletion runs on chat logs
  • Any request from a user to see or delete their conversations, and your answer

What we could not confirm

We found no guidance from the Attorney General or the Medical Board interpreting "marketed as facilitating or supporting health services," and no case applying 56.10(c)(3) to an AI model provider. The Sutter case has no ruling on the CMIA count. We read the chaptered text and the Civil Code sections, not the committee analyses, so we cannot say what the Legislature said about wellness apps along the way.

Our view: the definition is narrower than the headlines and wider than the wellness apps Camino describes have assumed. A general chatbot is not the target. A coaching app that tells users it helps their health and then pipes transcripts into analytics is exactly the target, and the $1,000-per-person nominal damages make that a class action, not a compliance memo.

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Legal disclaimer

This article is published for informational and educational purposes only. It does not constitute legal, regulatory, or professional compliance advice and should not be relied upon as such. AI governance requirements vary by jurisdiction, industry, and organizational context. Always consult a qualified legal or compliance professional before implementing policies or making decisions with regulatory implications.

About the author

Johnie T Young

Governance & Regulation Desk

Covers AI laws, regulator orders and court rulings, and what each one means for a team of ten. Posts start from the statute or the order itself, with every fact traced to a row in a source log.

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