Can I Get Sued for Using AI to Screen Job Applicants?
You turned on the auto-reject feature in your applicant tracking system to save time. Now you’re wondering if that shortcut just created a lawsuit.
A federal judge just ruled that AI vendors can be sued directly for discriminatory hiring outcomes, not just the company that bought the software. That ruling landed the same year Illinois started fining employers up to $70,000 per repeat violation for exactly this kind of AI-driven decision.
If you’re hiring across multiple states while scaling fast, this isn’t hypothetical. It’s happening right now, in real cases, with real penalties attached.
Here’s what actually changed, and why “we just bought the software” no longer works as a defense.
Mobley Opened the Door to Vendor and Employer Liability
On June 22, 2026, a federal judge in Mobley v. Workday let discrimination claims proceed against Workday itself, not only the employers using its screening tool. The theory: the vendor’s algorithm acts as the employer’s “agent,” so the vendor can be liable too. That means both you and your ATS provider can end up as defendants, and “we didn’t write the algorithm” doesn’t shield either of you.
Illinois Turned AI Hiring Bias Into a Civil Penalty
Illinois’s amended Human Rights Act (HB 3773) has been in force since January 1, 2026. Use AI in hiring without the right safeguards, and you’re exposed to:
- Civil penalties up to $70,000 per repeat violation
- Liability regardless of whether discrimination was intentional
- Direct exposure the moment a rejected applicant files a complaint
This is live law with real dollar figures, not a proposal sitting in committee.
Multi-State Hiring Means Multiple Overlapping Rules
Illinois isn’t the only state to watch. Colorado and New York City (under Local Law 144) both require applicant notice, and NYC requires an independent bias audit, before you can rely on automated hiring tools. Hire into a second or third state and you inherit a patchwork of notice, audit, and disclosure rules you may not even know apply to you.
Common Founder Mistakes
- Flipping the Auto-Reject Switch Without Checking the Law. Founders turn on ATS auto-screen features because they save hours of manual review, without checking whether their hiring state requires applicant notice or a bias audit first. It feels like a settings toggle. It’s actually a compliance decision with penalty exposure attached.
- Assuming Buying the Tool Means Someone Else Owns the Risk. Founders assume that because they didn’t build the AI, they’re insulated from liability. Mobley just proved that theory wrong: the vendor and the company using the tool can both be on the hook for the same discriminatory outcome.
- Keeping Zero Documentation of How the Tool Screens Candidates. Most founders can’t explain why their AI tool rejected a specific candidate. That’s exactly the paper trail regulators and plaintiffs ask for first, and having none of it makes a defensible process look indefensible.
10-Minute Self-Check
Before you keep running AI auto-screen or auto-reject features, work through this:
- Do you know which states your current applicants are located in?
- Have you confirmed whether Illinois, Colorado, or NYC’s Local Law 144 applies to any open role?
- Has your ATS vendor given you documentation on how its screening algorithm makes decisions?
- Do you have a required applicant notice in place before AI touches an application?
- Has anyone reviewed your auto-reject criteria for patterns that could correlate with a protected class?
- Can you produce, in writing, why a specific applicant was rejected?
If you cannot answer yes to all of these, pause the auto-reject feature until you can.
Bottom Line
AI hiring tools promise speed. Mobley just proved that speed without oversight is now shared liability between you and your vendor. The law caught up to the technology, and founders who haven’t caught up with the law are the ones who get sued first.
Do You Know Where Your Applicant Data and AI Tools Actually Overlap?
Download our free Data Mapping Worksheet to identify where personal information is collected, stored, and transferred throughout your business. Mapping your data before updating your privacy documentation helps ensure your policies accurately reflect how your product actually works.
Get the free worksheet: https://primumlaw.com/data-mapping-worksheet/?post_type=page