United States · Labor and Employment

U.S. Workday Hiring Algorithm Case

Applicants allege that Workday's algorithmic screening tools caused discrimination based on race, age, sex, and disability. The court previously held that a technology vendor performing traditional recruitment functions may act as an employer's agent, and in 2026 confirmed that applicants may pursue disparate-impact claims under the Age Discrimination in Employment Act.

Court or tribunal
U.S. District Court for the Northern District of California
Decision date
5 March 2026
Procedural status
Motion to Dismiss Granted in Part and Denied in Part; Proceedings Ongoing
Case number
No. 3:23-cv-00770-RFL

01

Factual background & dispute

  • The plaintiff alleged that he applied to numerous employers using Workday software and repeatedly received rapid rejection notices.
  • The complaint alleged that the tools use AI and machine learning to screen, rank, and recommend job applicants; a 2026 amended complaint added three plaintiffs and sex-discrimination and California-law claims.
  • Workday moved to dismiss the new claims and argued that the ADEA's disparate-impact provision does not cover job applicants.

02

Core issues & judicial focus

  1. Whether an algorithmic recruitment vendor can qualify as an employer's agent under anti-discrimination laws
  2. Whether job applicants may bring disparate-impact claims under the ADEA
  3. What California nexus, algorithmic proxy facts, and statistical allegations are required for the added state-law and disability claims

03

Judicial finding & holding

  • The court again held that job applicants may bring disparate-impact claims under the ADEA.
  • The California-law claims and one added plaintiff's disability claim were dismissed with leave to amend; the remaining challenged claims continued.
  • These rulings address pleading sufficiency. Whether the algorithms caused discrimination remains subject to proof and adjudication.

04

Practical risk implications

01Employers procuring AI hiring platforms should include vendors within anti-bias reviews, compliance testing, and audit frameworks.

02Deploying organizations must understand screening criteria, proxy metrics, automated rejection triggers, and human review mechanisms.

03Vendor contracts should explicitly govern data access, bias auditing, complaint handling cooperation, and liability allocation.

Court documentsFull judgments and orders2 documents

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