Mobley v. Workday and the new era of AI hiring vendor liability
Derrick Mobley’s lawsuit against Workday has turned AI hiring vendor liability from a theoretical risk into a live courtroom test. In Mobley v. Workday, Inc., No. 3:23-cv-00770 (N.D. Cal., complaint filed Feb. 23, 2023), his amended complaint alleges that Workday’s AI-enabled hiring technology functioned as an employer’s agent when it helped companies screen résumés and auto-reject him more than 150 times, sometimes at 1:30 a.m. on weekends. That pattern, drawn from application logs described in the pleadings, raises sharp questions about who holds liability when algorithms filter candidates. For HR leaders preparing for interviews and researching the company behind their tools, this case reframes every vendor conversation about discrimination, transparency, and control.
In July 2024, the court conditionally certified a nationwide collective action under the Age Discrimination in Employment Act, based on a legal theory that Workday acted as an employer’s agent in the hiring process, not just as a neutral third-party software provider. The conditional certification order, available on the case docket, accepts that theory as sufficiently plausible for notice purposes and allows discovery into how Workday’s tools influence hiring outcomes. If courts ultimately endorse that view at later stages, AI hiring vendor liability could extend directly to vendors and to every employer that signs contracts delegating core screening decisions to algorithmic tools, especially when those tools screen résumés, rank candidates, or generate interview question banks. That shift means each company must review how its account sign flows, candidate report comment features, and automated answer scoring are configured, because plaintiffs will argue that these design choices show where real hiring power sits.
Mobley’s lawyers are seeking access to Workday’s bias testing data, AI hiring bias audit logs, and potentially its source code, requests reflected in discovery motions and joint case management filings on the public docket. If the court orders disclosure of Workday lawsuit discovery documents, employers using similar products will face pressure to obtain comparable reports from their own vendors and to document how they respond when adverse impact appears in those reports. For candidates researching companies before HR interviews, this will change what they ask about AI tools, how they view employer accountability, and how they interpret any report comment about fairness or discrimination in corporate sustainability disclosures.
What discovery could expose in AI tools and how HR should respond
The discovery phase in Mobley v. Workday will likely probe how Workday’s technology screens résumés, weights variables such as age proxies, and routes candidates into or out of hiring pipelines. Plaintiffs can be expected to request detailed logs showing when the system was enabled for hiring decisions, which résumés were rejected automatically, and how often human recruiters overrode those automated answers, because those facts go directly to liability. A typical request might seek “all configuration files, model documentation, and audit logs reflecting changes to scoring rules, screening thresholds, or automation settings for candidates in the United States from 2019 to the present.” For employers, that same level of scrutiny will soon be expected in internal documentation, vendor due diligence files, and any review of AI products used in recruiting and HR interviews.
Regulators in the United States and the European Union are already signaling that AI hiring vendor liability will not stop at software companies, and that employers must treat AI as an extension of their own decision making. The European Union’s AI Act, for example, treats AI hiring tools as high-risk systems and will require companies to maintain technical documentation, risk management processes, and human oversight, which is why US employers are already studying guidance on how the EU AI Act hits hiring and what US employers must do before new obligations take effect, even if they only recruit occasionally in Europe. That same logic will influence US enforcement, where agencies will expect employers to show how they selected vendors, what reports they requested, and how they responded to any evidence of discrimination in screening outcomes.
For candidates preparing for HR interviews and researching the company, this means they can reasonably ask how AI tools are used to screen résumés and schedule interviews, and whether the employer has ever commissioned an independent review of those systems. When a company cannot answer basic questions about its AI tools, or cannot explain who owns the account sign controls and who can change screening thresholds, that silence will shape both candidate trust and potential legal exposure. Senior HR leaders should assume that any internal report comment about algorithmic bias, even in a draft, could surface in litigation and therefore must be paired with a clear remediation plan and a dated record of actions taken over time.
Rewriting vendor contracts and interview research checklists after Mobley
Mobley’s theory that Workday acted as an employer’s agent means every AI hiring contract now doubles as a potential liability exhibit, not just a procurement form. Talent Acquisition leaders should require explicit audit rights, detailed bias testing reports, and indemnification clauses that allocate AI hiring vendor liability when discrimination claims arise, rather than relying on generic third-party software terms. For example, a clause might state that the vendor will (a) provide annual AI hiring bias audit logs and impact analyses, (b) notify the employer in writing at least 30 days before deploying any material model change, and (c) indemnify the employer for losses arising from the vendor’s failure to conduct or disclose required bias testing.
Contracts should also define how the product will be configured to screen résumés, what data fields the tools may use, and how long the company will retain candidate data for later audits, because vague language weakens both compliance and defense. Employers should insist that vendors document every major version of their technology, provide a clear report comment on each bias test, and maintain an account sign trail showing which users changed scoring rules or enabled hiring automation at specific times, since those logs will matter if a court asks who really controlled the system. As recent litigation over state-level AI hiring laws shows, such as the federal court challenge that temporarily blocked Colorado’s AI hiring law and forced companies to rethink their June 30 compliance plans, regulators and judges are moving quickly and expect employers to keep pace.
For candidates and HR professionals researching companies before HR interviews, the Mobley case offers a new checklist of questions about AI tools, vendor relationships, and how the employer balances efficiency with fairness. Asking how the company uses AI to optimize labor costs without sacrificing people or performance, and whether it has ever paused a tool after a critical review, can reveal whether leadership treats AI as a strategic solution or a black box shortcut. In the end, strong AI hiring vendor liability practices will show up not only in contracts and legal files but also in how clearly recruiters explain their tools, how transparently they report on discrimination risks, and how consistently they sign their names to structured, evidence-based hiring decisions — not gut feel, but scorecards.
References
- U.S. Equal Employment Opportunity Commission (EEOC)
- U.S. Department of Labor
- Society for Human Resource Management (SHRM)
- Mobley v. Workday, Inc., No. 3:23-cv-00770 (N.D. Cal.)