By Jeffrey T. Donner, Esq.

June 3, 2026

A new class action lawsuit against OpenAI has the ingredients of a modern privacy story: artificial intelligence, sensitive personal questions, Facebook tracking code, Google Analytics, California privacy statutes, and a legal theory that takes old wiretap laws and points them directly at the internet’s advertising machinery.

But the most interesting thing about the lawsuit is that it is not really about killer robots, runaway AI, or whether ChatGPT will replace lawyers, doctors, therapists, teachers, or that one friend who somehow knows everything about every subject.

The lawsuit is about something much more ordinary.

Tracking code.

That sounds boring. It is not.

The case is Couture v. OpenAI Global, LLC, filed in the United States District Court for the Southern District of California. The plaintiff, Amargo Couture, alleges that OpenAI embedded Meta’s Facebook Pixel and Google Analytics code into ChatGPT.com, and that those tools transmitted information about users’ ChatGPT activity to Meta and Google.

In plain English, the claim is this: people were typing private questions into ChatGPT, and the website allegedly allowed pieces of that interaction to be transmitted to two of the largest advertising-data companies in the world.

OpenAI will, of course, have the opportunity to deny the allegations, challenge the technical theory, assert defenses, and test the plaintiff’s claims in court. A complaint is not evidence. It is an accusation.

But the accusation is worth paying attention to.

This Is Not Just Another “Website Cookie” Case

For years, websites have used tracking pixels, analytics scripts, advertising tags, retargeting tools, session-replay tools, chat widgets, and other invisible bits of code. Most users have no idea what is happening behind the curtain.

They click.

They browse.

They type.

Meanwhile, a quiet little army of scripts may be reporting back to third-party platforms about what pages they visited, what buttons they clicked, what products they viewed, what forms they started to fill out, and what they abandoned.

That is the internet we built. Congratulations to all involved.

But ChatGPT is different from a shoe store.

When someone shops online, the tracking may show that the person looked at running shoes, a coffee maker, or a replacement pool pump. That still raises privacy issues, especially if the website deals with sensitive subjects. But ChatGPT is not a normal retail page. People use ChatGPT like an adviser, sounding board, research assistant, diary, therapist, business consultant, legal explainer, financial question box, medical-information tool, and sometimes emergency emotional support system.

People do not just browse ChatGPT.

They confess to it.

They ask it things they may not ask their spouse, employer, doctor, lawyer, or best friend.

That is why this lawsuit matters.

The Super Bowl Example Is Harmless. The Mechanism Is Not.

The complaint uses a simple example. A user asks ChatGPT, “who won the superbowl in 2005.” ChatGPT generates a conversation title: “Super Bowl 2005 Winner.” According to the complaint, that title was then transmitted through Meta and Google tracking tools.

No one is going to lose sleep because Meta allegedly learned that someone asked who won the 2005 Super Bowl. The answer was the New England Patriots, which is unfortunate enough on its own.

But the plaintiff’s point is not about that harmless example. The point is the mechanism.

If the system transmits a title like “Super Bowl 2005 Winner,” what happens when the conversation title is something like:

“I think my employer is committing fraud.”

“Do I have cancer symptoms?”

“How do I file bankruptcy?”

“Can my spouse take my children?”

“What happens if I cannot pay my mortgage?”

“Should I sue my business partner?”

“Is this medication interaction dangerous?”

“Can I get fired for reporting harassment?”

That is where the case becomes serious.

A generated chat title may not contain the full prompt. It may not reveal every fact the user typed. But it can still reveal the subject of the communication. And sometimes the subject alone is private.

The Legal Theory

The complaint asserts claims under the federal Electronic Communications Privacy Act, the California Invasion of Privacy Act, and California constitutional and common-law privacy theories.

The basic theory is that OpenAI allegedly used third-party code that caused users’ communications, or information about those communications, to be intercepted or disclosed to Meta and Google without proper consent.

The plaintiff alleges that the Facebook Pixel transmitted information to Meta, including query-topic information and Facebook identifiers. The complaint also alleges that Google Analytics transmitted information to Google, including query-topic information and identifiers such as hashed email information or Google cookies.

That word “hashed” will appear repeatedly in these cases. Companies often argue that hashing makes information safer because the email address or identifier is transformed into a different string of characters. Plaintiffs respond that hashed identifiers are still useful precisely because they can be matched to known profiles. In other words, the point of the technology is not to forget who the user is. The point is often to recognize the user without displaying the raw email address.

That distinction matters.

Privacy law does not turn only on whether someone sent the exact words “johnsmith@gmail.com.” It can also turn on whether the information transmitted can be tied back to an identifiable person.

The California Problem

California’s privacy statutes are now being used aggressively against modern website-tracking practices.

The California Invasion of Privacy Act was not written with ChatGPT in mind. It was enacted in an earlier technological world. But privacy statutes often get dragged into new eras because the basic human concern does not change: people do not like being secretly monitored when they think they are communicating privately.

The plaintiff relies heavily on CIPA § 631, which addresses unauthorized tapping, reading, learning, or aiding another person in reading or learning the contents of a communication while it is in transit. The complaint also references statutory damages of $5,000 per violation under California law.

That number is why these cases are not academic.

If a plaintiff claims millions of users and $5,000 per violation, the theoretical exposure becomes enormous very quickly. Whether that number is legally recoverable, certifiable, constitutional, manageable, or remotely realistic is another question. But that is the leverage point.

Class action lawyers know math too.

OpenAI Will Have Real Defenses

This is not a slam dunk just because the subject sounds alarming.

OpenAI will almost certainly challenge the case on multiple fronts.

First, OpenAI may dispute what was actually transmitted. Was it the full prompt? Was it only a generated title? Was it metadata? Was it “content” under the relevant statutes? Was the data connected to an identifiable person? Did Meta or Google actually receive and use the information in the way the complaint alleges?

Those are not small questions. They are the case.

Second, OpenAI may assert consent. Most modern websites have privacy policies, cookie notices, terms of use, disclosures, banners, data controls, and related documents. The legal question will not be whether some disclosure existed somewhere. The question will be whether the disclosure was timely, specific, adequate, and legally effective.

That is where many privacy cases become trench warfare.

Third, OpenAI may argue that the alleged injury is too abstract to support standing. Federal courts increasingly scrutinize whether a plaintiff has alleged a concrete injury, not merely a technical statutory violation. If a plaintiff can show that genuinely sensitive health, financial, legal, or personal information was disclosed to third parties, that argument becomes stronger for the plaintiff. If the alleged disclosure is vague, technical, or non-sensitive, the standing defense becomes stronger for the defendant.

Fourth, class certification will be a major fight. Users may have different accounts, settings, browsers, cookie states, geographic locations, subscription types, privacy controls, consent experiences, and query topics. A complaint can define a class broadly. Certifying that class is a different problem.

In other words, the lawsuit is serious, but it is not simple.

The Real Lesson for Businesses

The practical lesson is not “do not use AI.”

The practical lesson is: know what your website is doing.

That sounds embarrassingly basic, but many businesses do not know. They hire a marketing vendor. The marketing vendor installs analytics code. Someone adds a pixel. Someone else adds a retargeting script. Another person adds a chat widget. A form vendor gets plugged in. A CRM integration appears. Then everyone forgets about it.

Months or years later, a lawsuit arrives claiming the website has been quietly transmitting sensitive user information to third parties.

At that point, “our marketing vendor handled it” is not much of a defense.

Businesses need to know what third-party scripts are loaded on their websites, what data those scripts collect, where the data goes, and whether users consented before the transmission occurred.

This is especially true for websites that collect sensitive information: health, legal, financial, employment, insurance, housing, education, family, addiction, mental-health, or other personal information.

If a website invites users to disclose private facts, the business should not treat the page like a billboard.

The Lesson for Law Firms Is Even Sharper

Law firms should pay particular attention.

A law firm website is not just a marketing brochure. It is often the front door to an attorney-client relationship. Prospective clients may submit facts about arrests, divorces, injuries, medical conditions, business disputes, employment problems, estate disputes, financial distress, or potential lawsuits.

That information may be confidential. It may be privileged in some circumstances. Even when it is not technically privileged, lawyers still have professional duties that are very different from the duties of ordinary retailers.

A lawyer should be extremely careful before placing third-party advertising or analytics code on pages where prospective clients submit facts about legal matters.

The vendor may say the code is standard.

The marketing consultant may say everyone uses it.

The web developer may say it helps conversions.

Fine. But if confidential prospective-client information is being transmitted to an advertising platform, the lawyer owns that problem.

The marketing vendor will not be standing next to the lawyer at the disciplinary hearing.

The Bigger Point

The uncomfortable truth is that modern websites often leak more information than their owners understand.

That is not always because someone is evil. Sometimes it is because the internet’s advertising ecosystem has trained everyone to treat user data as exhaust: something automatically collected, packaged, analyzed, matched, modeled, and monetized in the background.

But ChatGPT exposes why that mindset is dangerous.

When users type private questions into an AI assistant, they are not thinking like digital-advertising engineers. They are thinking like human beings. They believe they are communicating with the service they are using. They do not expect their query topics to become advertising signals.

That expectation may or may not control the legal outcome. But it will matter.

Judges, regulators, lawyers, and juries are going to keep confronting the same basic question: when does ordinary website tracking become unlawful surveillance?

This case puts that question in a particularly vivid setting.

The Bottom Line

The ChatGPT privacy lawsuit is not really about whether artificial intelligence is good or bad.

It is about whether a company can invite users to disclose highly personal information while allowing third-party advertising and analytics tools to receive information about those communications without meaningful consent.

Maybe OpenAI defeats the case.

Maybe the technical allegations narrow.

Maybe the class certification problems become overwhelming.

Maybe the plaintiff proves enough to survive dismissal and force discovery into exactly what data was transmitted, when it was transmitted, and who received it.

But the lawsuit already teaches one lesson.

If your website collects sensitive information, do not casually staple advertising-surveillance machinery to it and assume everything is fine because “everyone does it.”

Everyone doing something has never been a legal defense.

It is usually how the lawsuits start.