Derek L. Mobley, et al. v. Workday, Inc.
Mobley v. Workday is a proposed class and collective action challenging the use of Workday’s AI-enabled applicant screening, recommendation, and scoring tools. Lead plaintiff Derek Mobley and co-plaintiffs allege that Workday’s automated systems caused unlawful disparate impact based on race, age, sex, and disability. The case is significant because it tests whether an HR technology provider may face direct liability as an employment agency, indirect employer, or agent under federal civil rights laws and state regulations. The case remains ongoing, and the court has not made a final finding that Workday’s tools discriminated against anyone.
Parties
Plaintiff and defendant
Plaintiff
Derek Mobley et al
The plaintiffs are job applicants who applied for hundreds of positions through employers using Workday's candidate platform. Lead plaintiff Derek Mobley is an African American man over forty with depression and anxiety. Co-plaintiff Jill Hughes is a female over forty with physical disabilities (cancer survivor and asthma). The plaintiffs allege they were repeatedly rejected without an interview, often receiving automated rejections within minutes of submitting their applications.
Defendant
Workday, Inc.
An HR technology provider whose AI-enabled applicant screening tools — including Candidate Skills Match and Workday Assessment Connector — are alleged to have produced discriminatory outcomes.
Case briefing
What this case is about
Mobley v. Workday is a proposed nationwide class action challenging the algorithmic decision-making and screening tools embedded in Workday’s recruiting platform. The lawsuit alleges that Workday’s AI and machine-learning systems screen out job applicants based on protected traits including race, age, sex, and disability.
Who is the plaintiff?
The plaintiffs are job applicants who applied for hundreds of positions through employers using Workday's candidate platform. Lead plaintiff Derek Mobley is an African American man over forty with depression and anxiety. Co-plaintiff Jill Hughes is a female over forty with physical disabilities (cancer survivor and asthma). The plaintiffs allege they were repeatedly rejected without an interview, often receiving automated rejections within minutes of submitting their applications.
What is being alleged?
The plaintiffs allege that Workday’s automated screening systems rely on biased historical hiring data and proxy variables that systematically downgrade candidates who are Black, female, disabled, or over forty. The lawsuit claims these practices cause an unlawful disparate impact in violation of Title VII of the Civil Rights Act of 1964, the Age Discrimination in Employment Act (ADEA), the Americans with Disabilities Act Amendments Act (ADAAA), and the California Fair Employment and Housing Act (FEHA).
Why is the defendant being sued?
Workday is being sued as a central software vendor whose screening tools act as gatekeepers to employment opportunities. The plaintiffs argue that Workday acts as an employment agency, an indirect employer, or an agent of employers because its software automatically scores, ranks, and dispositions applicants rather than merely providing passive tools.
Why this case matters
What this means for employers and vendors
For employers and HR teams
The case highlights that organizations cannot treat third-party AI recruiting tools as passive software that insulates them from liability. Employers deploying enterprise screening platforms should consider that automated applicant filtering, scoring, and candidate recommendations remain subject to federal and state anti-discrimination standards. This increases the importance of procurement due diligence, conducting component-level bias testing, and documenting human oversight in automated candidate selection workflows.
For HR technology vendors
The case highlights that software vendors providing AI-driven screening, ranking, or recommendation tools face direct liability risks under federal civil rights statutes as employment agencies or agents. Providers may need to consider how their algorithmic models rely on proxy variables, how training data reflects historical workforce imbalances, and whether internal bias audit records, source code, and validation data are discoverable in civil litigation.
System or practice at issue
The employment AI being challenged
The case challenges AI-enabled applicant screening tools provided by Workday, Inc., including Candidate Skills Match and Workday Assessment Connector, used for screening, ranking, recommendation, and hiring.
The alleged harm is repeated exclusion from employment opportunities based on protected characteristics.
Case updates
Latest developments
Updates are listed newest first. Expand each update for what changed, why it matters, and the source position.
8 September 2026
Court sets deadline for ADEA opt-in discovery responses
The court ordered plaintiffs to make their initial production by 21 September, continue with rolling productions every two weeks and complete production by 30 November 2026.
8 September 2026
Court sets deadline for ADEA opt-in discovery responses
The court ordered plaintiffs to make their initial production by 21 September, continue with rolling productions every two weeks and complete production by 30 November 2026.
After 30 November, late responses will require either the parties’ agreement or a court order based on good cause specific to the affected opt-in plaintiffs. The order formalises the evidence-verification process and may affect which participants can ultimately demonstrate eligibility. It makes no finding about Workday’s systems or alleged discrimination.
24 August 2026
ADEA opt-in plaintiffs asked to provide application evidence
Opt-in plaintiffs reportedly began receiving requests for application records and authorisations. The outreach appears to implement the court-approved process for verifying whether Workday’s AI features adversely recommended individual applicants.
24 August 2026
ADEA opt-in plaintiffs asked to provide application evidence
Opt-in plaintiffs reportedly began receiving requests for application records and authorisations. The outreach appears to implement the court-approved process for verifying whether Workday’s AI features adversely recommended individual applicants.
Individuals who opted into the preliminarily certified ADEA collective reportedly received requests for employer names, roles, application dates, submitted CVs and authority for counsel to obtain records from employers and Workday. The court’s staged opt-in plan requires discovery from Workday customers concerning each opt-in plaintiff’s “recommendation” status. Plaintiffs bear the burden at final certification of showing that Workday’s AI features did not recommend collective members for hire. This is an evidence-gathering milestone, not a finding that Workday discriminated or a final certification decision. Eligibility remains provisional and the overall case status remains ongoing.
28 July 2026
Court limits discovery of Workday customers’ applicant data
The court rejected the plaintiffs’ challenge to an order denying access to applicant data held in Workday customers’ protected environments. The ruling does not necessarily prevent discovery of aggregated, anonymised statistics controlled and used by Workday.
28 July 2026
Court limits discovery of Workday customers’ applicant data
The court rejected the plaintiffs’ challenge to an order denying access to applicant data held in Workday customers’ protected environments. The ruling does not necessarily prevent discovery of aggregated, anonymised statistics controlled and used by Workday.
Judge Rita F. Lin denied the plaintiffs’ request for relief from a discovery order concerning applicant data stored within Workday customers’ segregated, password-protected tenants.
The court found that the earlier order reasonably concluded that the plaintiffs had not established that Workday possessed or controlled this customer data. Evidence before the court indicated that Workday was contractually and technically restricted from accessing it without customer permission.
The ruling may make it more difficult for the plaintiffs to obtain customer-level data needed to examine alleged discriminatory effects across different employers using Workday’s recruitment tools.
However, the court expressly distinguished customer-controlled applicant data from aggregated, anonymised statistics that Workday uses for its own purposes. The order indicates that such statistical information may not be covered by the discovery restriction.
The case remains ongoing, and the court has not determined whether Workday’s systems discriminated against applicants.
This is a binding discovery ruling concerning access to evidence. It is not a finding of discrimination or liability.
20 July 2026
FEHA and disability claims allowed to proceed
The court allowed California FEHA and ADA disability theories to continue, while narrowing other claims.
20 July 2026
FEHA and disability claims allowed to proceed
The court allowed California FEHA and ADA disability theories to continue, while narrowing other claims.
Judge Rita Lin granted in part and denied in part Workday’s motion to dismiss the third amended complaint. The court allowed the California FEHA claims to proceed, including for applicants who do not live in California, finding a sufficient connection to the state because Workday allegedly designs, develops, maintains, and operates the relevant screening tools from its California headquarters.
The court also revived an ADA disability claim based on allegations that the tools used proxy indicators of health. It dismissed the newly added race-based disparate-impact claim and rejected the theory that Workday was liable as an employer merely because it used the same tools in its own hiring.
Source: Local Law 144 (1).pdf
8 July 2026
Discovery order addresses bias-testing and applicant data
The court resolved disputes involving internal testing materials and records held by Workday and customers.
8 July 2026
Discovery order addresses bias-testing and applicant data
The court resolved disputes involving internal testing materials and records held by Workday and customers.
The court addressed discovery requests involving bias-testing materials, customer records, and applicant data. The order shows how documentation, testing evidence, and customer/provider data may become central in AI hiring litigation.
19 July 2025
Third amended complaint filed
The plaintiffs revised their claims, including California state-law and disability theories.
19 July 2025
Third amended complaint filed
The plaintiffs revised their claims, including California state-law and disability theories.
The plaintiffs filed an amended complaint adding and revising allegations against Workday. The amendment expanded the case beyond the earlier federal age-discrimination focus.
1 May 2025
Nationwide ADEA collective conditionally certified
The court permitted notice to a defined group of applicants aged 40 and over.
1 May 2025
Nationwide ADEA collective conditionally certified
The court permitted notice to a defined group of applicants aged 40 and over.
The court conditionally certified a nationwide ADEA collective. This moved the age-discrimination theory beyond an individual claim and created a broader potential plaintiff group.
Source: Local Law 144 (1).pdf
Related records
Related laws, obligations, and records
Further reading from the Warden Watch knowledge graph.
Laws and regulations mentioned
Related obligation types
Core alleged harm across protected characteristics
Relevant to the disability claim
Related Warden analysis
Read the deeper analysis
The Workday Class Action Lawsuit: Is Your AI at Risk?
A detailed Warden AI analysis of the claims, tools, vendor-liability questions, timeline, and practical governance implications.
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