AI Hiring Is a Regulated Employment Practice — Not a Procurement Decision
Not legal advice. This article discusses legal and regulatory developments and is generated with AI assistance under human editorial review. It is provided for informational purposes only and does not constitute legal advice. Laws and regulations vary by jurisdiction and are subject to change. You should consult your own qualified legal counsel before taking or refraining from any action based on the content of this article. Read our AI Transparency statement.
The News
Foley & Lardner, writing on JD Supra on August 18, 2026, framed AI-powered hiring tools not as technology purchases but as regulated employment practices carrying litigation risk under federal and state anti-discrimination laws. The firm warns that even small algorithmic biases — from training data, model design, or proxy variables like zip code, educational institution, or commute distance — can produce selection ratios that systematically disadvantage protected groups without any discriminatory intent. Citing ongoing litigation including Mobley v. Workday and the EEOC's settlement with iTutorGroup, the firm provides a compliance checklist: inventory all AI tools in the hiring stack, demand vendor validation studies and adverse impact analyses, implement human oversight at key decision points, and retain decision logs sufficient to defend against claims.
Why It Matters
TA leaders often acquire AI hiring tools through procurement with vendor assurances of 'ADA-compliant' or 'bias-tested.' But the employer, not the vendor, bears legal responsibility when those tools produce discriminatory outcomes. Reliance on a vendor's assurance does not relieve the employer of its independent obligations under the ADA, Title VII, or state equivalents. The firm's core message: if a hiring decision is challenged, employers need to be able to explain why they made it — and 'the vendor said it was fine' is not a defence.
Taking Action
All action is situated in your corporate context. These are starting points, not prescriptions — choose what fits.
Connect
Who to talk with in your enterprise
Your procurement or vendor management lead: ask whether AI hiring tool contracts include provisions for vendor validation studies, model methodology, training data descriptions, and adverse impact testing results. Your employment counsel: confirm whether your current AI hiring tools have been independently audited for disparate impact, or whether you've relied solely on vendor-supplied assessments.
Inspect
What to take a closer look at
Pull your AI hiring tool contracts and check for audit rights. Can you independently test the tool for adverse impact across protected categories? If the contract only offers the vendor's own self-assessment, you lack the documentation to defend a disparate impact claim — and the compliance checklist says you need that documentation before, not after, a challenge.
Reflect
What to think about more deeply
If your vendor's AI hiring tool was 'bias-tested' by the same company that sells it, would you accept that standard for your financial audit — or would you want an independent reviewer?