AI Hiring Is the New Legal Battleground: Mobley v. Workday

AI hiring is the new legal battleground – Derek Mobley v Workday, Inc.

This case relates to a claim filed by Derek Mobley against Workday in the California District Court, alleging Workday’s AI-based job applicant screening tools violated the federal and California anti-discrimination laws. The plaintiff alleged Workday’s AI screening tool discriminated against job applicants on the basis of race, age, and disability.

This case was granted preliminary certification of a collective action for age discrimination on July 29, 2025, and could result in significant impact to all HR platforms. Workday indicated that they had approximately 1.1 billion applications rejected through the applicable time period.

Here are some points to consider:

• Disparate impact theory: The US court in this case recognized that there was no intentional discrimination of candidates by the AI system; however, allowed the claim to proceed anyway. Emphasizing that impact alone can be enough when protected groups are disproportionately screened out. In Canadian employment law, this is also known as adverse effect discrimination, as recognized in the SCC case Fraser v. Canada, 2020 SCC 28.
• Understand the algorithm, not just the outcome. Employers should place greater emphasis on understanding how AI platforms work and how the automated decision-making process takes shape. What inputs are used, what are the specific candidate factors that are being ranked, and whether any proxy variables could trigger risk or discrimination under employment law.
• Clarify where the legal buck stops. As courts begin testing agency theories of liability, it will be interesting to see whether responsibility lies with the vendor, the employer, or both.

This is not a one-off procedural win, but rather, it has moved from hypothetical risk to scalable litigation. The kind that demands serious attention from HR, legal, and leadership teams.

What can employers do to protect themselves:

• Audit your AI tools. Companies should run impact assessments to determine whether the existing screening variables could result in discrimination claims under local laws.
• Push for transparency. Demand vendor data, including how recommendations are made, what data is used, and how bias is tested.
• Documentation. Keep audit trails, meeting minutes, and governance mechanisms that show that you are taking a proactive approach to monitoring risk and compliance.

What steps are you taking (or resisting) to ensure your hiring tools won’t become legal liabilities?

Further reading:

• s3.documentcloud.org