Legal & Compliance

ChatGPT Is Filing ADA Lawsuits: The Pro Se Surge of 2026

AI tools let anyone draft an ADA complaint in minutes. Seyfarth reported about 40% more federal pro se ADA Title III filings in 2025 than in 2024.

Khushwant Parihar
Khushwant Parihar
7 min read

General-purpose AI has changed the economics of ADA website litigation. A person who hits an inaccessible website can now ask a chatbot to draft a complaint or demand letter in minutes, reducing the time and cost required to prepare a filing. Federal pro se ADA Title III filings, meaning cases brought by people representing themselves without a lawyer, ran about 40 percent higher in 2025 than in 2024 based on Seyfarth Shaw's comparison of average monthly filings. The tools that lowered that barrier cut both ways, and the only durable defense remains the same as it always was: an actually accessible website.

This article is general information, not legal advice.

The numbers behind the surge

The wider litigation picture was already climbing before the pro se wave. In 2025, plaintiffs filed 3,117 website-accessibility lawsuits in federal court, a 27 percent increase from 2024, according to Seyfarth Shaw's annual filing analysis. The 665 additional federal cases erased the declines recorded across the prior two years and made website claims 36 percent of all federal ADA Title III filings.

  • 3,117 federal website-accessibility lawsuits in 2025, up 27 percent and the most since 2022.
  • 665 more federal website-accessibility cases than in 2024.
  • 36 percent of all federal ADA Title III filings involved website accessibility.
  • ~40 percent increase in average monthly federal pro se ADA Title III filings in 2025 compared with 2024.

What AI actually changed

The driver is straightforward. General-purpose tools such as ChatGPT, Copilot, and Gemini let a person who encounters an inaccessible website draft a legally formatted complaint or demand letter without hiring a lawyer. As a UC Law Review analysis framed it, AI is a force multiplier for serial litigation: it pushes the cost of producing a filing toward zero and, in doing so, raises the volume of nuisance suits that a single individual can generate.

This is not the same as saying every pro se claim is meritless. Many inaccessible sites genuinely violate the ADA, and self-represented plaintiffs have a right to bring those claims. What changed is throughput. A barrier that once required a lawyer, a retainer, and a filing budget can now be turned into a complaint over a lunch break, and volume is where the strain shows.

The controversy: no ethics rules, and hallucinated law

Pro se litigants are not bound by the professional-ethics rules that govern licensed attorneys. A lawyer who files a brief citing fabricated cases risks sanctions and their license; a self-represented litigant faces a far weaker deterrent. That gap matters more than ever now that the drafting tool can invent authority out of thin air.

Seyfarth Shaw has reported pro se ADA litigants filing briefs with fabricated, AI-hallucinated case citations and bombarding defendants with frivolous motions. The costs land on the defense. In one widely reported example detailed in a Product Law Perspective analysis, a pro se litigant used ChatGPT to generate more than 60 filings after a judge denied her initial motion, running up roughly $300,000 in defense costs and fees. The underlying claim did not need to succeed for the litigation itself to become the punishment.

One pro se litigant used ChatGPT to generate more than 60 filings after losing an initial motion, driving roughly $300,000 in defense costs.

It cuts both ways

The same technology that lowered the cost of filing also lowers the cost of defending and, more importantly, of fixing the problem. As ADA QuickScan notes, AI helps defendants triage claims, review complaints for the telltale signs of hallucinated citations, and scan their own properties for accessibility defects before a plaintiff ever finds them. Proactive remediation, historically expensive and slow, is now cheaper to scope and to plan. The technology is not inherently on the side of the plaintiff or the defendant; it rewards whoever uses it to do real work.

Why it matters: the only durable defense

The practical lesson from the 2026 surge is that you cannot litigate your way out of an inaccessible website, and you cannot buy your way out of it either. The only durable defense is a site that actually works for people with disabilities, built and maintained to WCAG 2.2 Level AA. Overlays and accessibility widgets do not deliver that; they layer a script over unresolved barriers, and plaintiffs have repeatedly named overlay-equipped sites in suits.

  1. Conform to WCAG 2.2 AA and verify it. A structured WCAG 2.2 checklist turns the standard into concrete, testable tasks.
  2. Prioritize the flows plaintiffs actually target: navigation, product pages, forms, and checkout, which is why eCommerce dominates the filings.
  3. Do not rely on an overlay or widget as a compliance strategy. Remediate the underlying code and content instead.
  4. Document your remediation. A demonstrable, dated record of accessibility work is far more useful in a demand-letter response than a script bolted on after the fact.

For deeper background, see our accessibility lawsuit research, our overview of ADA compliance, our guide to AI and accessibility lawsuits, and our breakdown of what an ADA website lawsuit costs.

The bottom line

AI did not create the ADA website lawsuit; it removed the friction that once limited how many could be filed. The result is more suits, some meritorious and some abusive, and a defense burden that arrives whether or not a claim ever wins. Businesses cannot control who files against them, but they can control whether the underlying complaint is true. Build an accessible site, keep it that way, and the cheapest complaint to draft becomes the hardest one to win.

Sources

Khushwant Parihar
Written by
Khushwant Parihar

Khushwant Parihar is the founder of Accessibility.build and an accessibility specialist, consultant, and developer with more than four years of professional accessibility and software testing experience. His work covers WCAG auditing, keyboard and screen-reader testing with NVDA, JAWS, and VoiceOver, accessible frontend implementation, remediation workflows, and team enablement.

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