5,114 ADA Lawsuits in 2025: Is Your AI-Built App Next?

The numbers are hard to ignore. Digital accessibility lawsuits under the Americans with Disabilities Act have been climbing steadily for years, and 2025 set another record. According to tracking by accessibility law firms and advocacy organizations, over 5,100 ADA-related lawsuits targeting websites and digital applications were filed in the United States last year.

If you are shipping AI-generated applications without accessibility testing, you are operating without a safety net in an increasingly litigious environment.

The Trend Is Not Slowing Down

ADA digital accessibility lawsuits have grown consistently year over year. What started as a trickle of cases against major retailers has expanded into a broad legal movement targeting companies and developers of all sizes. Plaintiff law firms have built systematic practices around identifying accessibility violations and filing claims.

The legal landscape shifted decisively in recent years as courts and regulators confirmed that websites and applications fall under ADA Title III requirements. The Department of Justice issued formal guidance reinforcing that web content must be accessible to people with disabilities. Several circuit courts have ruled that digital-only businesses are subject to ADA requirements even without a physical location.

This means your SaaS app, your portfolio site, your side project — if it is publicly available and serves users in the United States, it is within scope.

The Cost of Non-Compliance

The financial exposure is significant. Based on published settlement data and legal analyses, the average ADA web accessibility settlement falls around $75,000. That figure includes legal fees, plaintiff damages, and remediation commitments.

But the headline number understates the true cost. Settlements typically require ongoing compliance monitoring, annual audits, and documented remediation plans. Legal fees for defense alone can run $10,000 to $50,000 even in cases that settle quickly. And if a case goes to trial, costs escalate dramatically.

For a solo developer or early-stage startup, a single lawsuit can be fatal. For a growing company, it is a distraction that consumes executive attention and engineering resources at exactly the wrong time.

What AI Code Gets Wrong

AI coding tools generate specific categories of accessibility violations with remarkable consistency. Understanding these patterns is the first step toward protecting yourself.

Missing alternative text. Image elements without alt attributes are the single most common WCAG violation on the web, and AI-generated code produces them constantly. Every decorative image needs an empty alt attribute. Every informational image needs descriptive text.

Broken form labels. AI generates form inputs that look correct visually but lack programmatic label associations. A sighted user sees the placeholder text; a screen reader user encounters an unlabeled input with no context.

Insufficient color contrast. AI tends to favor aesthetically pleasing color palettes without verifying that text-to-background contrast ratios meet the 4.5:1 minimum required by WCAG AA. Low-contrast text is unreadable for users with low vision.

Missing document structure. Proper heading hierarchy, landmark regions, and semantic HTML are rarely priorities for AI code generation. The result is pages that look structured visually but are a flat wall of divs to assistive technology.

No keyboard navigation. Custom interactive components built by AI — dropdown menus, modals, tabs, accordions — almost never include keyboard event handlers, focus management, or proper ARIA roles. Users who cannot operate a mouse are locked out entirely.

Empty links and buttons. AI frequently generates icon-only buttons and links without accessible names. A sighted user sees a hamburger menu icon; a screen reader announces "button" with no indication of what it does.

How to Protect Yourself

Compliance is not as difficult as the legal landscape makes it sound. The key is catching violations before they reach production, not scrambling to fix them after receiving a demand letter.

Step one: know your current state. You cannot fix what you have not measured. Run a comprehensive accessibility scan against your application to establish a baseline. Understand how many violations exist, what categories they fall into, and which are highest priority.

Step two: integrate scanning into your workflow. Manual audits are valuable but unsustainable as a primary strategy. Automated scanning in your CI/CD pipeline catches regressions before they ship. Every pull request, every deployment should pass through an accessibility gate.

Step three: prioritize and remediate. Not all violations carry equal legal risk. Focus first on issues that completely block access — missing form labels, keyboard traps, absent alternative text. Then address issues that degrade the experience — contrast failures, missing heading structure, inadequate focus indicators.

Step four: document your efforts. Courts and plaintiffs look favorably on organizations that can demonstrate good-faith compliance efforts. Maintain records of your scanning history, remediation work, and accessibility policies.

PreShip as Your Quality Gate

PreShip was built for exactly this scenario. It scans any URL or application for WCAG 2.2 AA compliance and returns a structured report with every violation, its severity, its location in the DOM, and a plain-language explanation of how to fix it.

Integrate it into your deployment pipeline with a single API call. Set a minimum accessibility score as a deployment gate. Block releases that introduce new violations.

The cost of a PreShip subscription is a rounding error compared to the cost of a single ADA demand letter. More importantly, it means your application actually works for the one billion people worldwide who live with disabilities.

Run your first scan free at preship.dev. Find out where you stand before a plaintiff's attorney does.