Blogs

The Workday AI litigation moves forward: What employers should learn before the courts decide vendor liability

7/2/26

By: Sunshine Fellows

The landmark AI hiring case against Workday continues to gain momentum and is rapidly becoming one of the most closely watched employment-law challenges involving artificial intelligence. Earlier this month, Judge Rita Lin of the U.S. District Court for the Northern District of California largely denied Workday’s latest effort to dismiss amended claims in Mobley v. Workday, allowing significant portions of the lawsuit to proceed.

The ruling is noteworthy not simply because it involves AI, but because it tests whether a technology vendor can face liability under federal and state anti-discrimination laws when its tools allegedly influence hiring decisions made by third-party employers. As employers increasingly rely on algorithmic screening tools, the case offers an early indication of how courts may evaluate discrimination claims arising from AI-assisted employment decisions.

The latest development in the case

Mobley was filed by job applicants who allege that Workday’s recruiting and applicant-screening technology disproportionately disadvantaged certain protected groups, including older workers, Black applicants, women, and individuals with disabilities. The plaintiffs contend that Workday’s systems relied on screening criteria and algorithmic processes that had a disparate impact on protected classes.

On June 22, 2026, the court rejected most of Workday’s challenges to newly amended claims and signaled that California anti-discrimination laws may apply even when applicants reside outside California, provided the alleged conduct originated from Workday’s California operations. The court also permitted disability-related theories to proceed based on allegations that the technology may rely on proxy indicators, such as employment gaps, that could correlate with disabilities or medical conditions.

Why the case matters beyond Workday

Although the lawsuit targets a software provider rather than an employer, the broader significance lies in the court’s willingness to entertain theories of liability against a vendor that allegedly performs functions traditionally associated with hiring. Earlier rulings in the case had already suggested that Workday could potentially be treated as an agent involved in employment decision-making. The June 2026 ruling further reinforces that courts may be reluctant to accept arguments that technology providers are insulated from liability simply because they do not make final hiring decisions. The litigation is therefore being closely watched by employers, HR technology companies, regulators, and plaintiffs’ attorneys as a potential blueprint for future AI-related discrimination claims.

The growing regulatory backdrop

The Workday litigation is unfolding against a rapidly evolving regulatory landscape. Although federal lawmakers and regulators have yet to establish a comprehensive framework governing AI in employment, state and local jurisdictions have moved aggressively into the space. New York City’s automated employment decision tool requirements, Colorado’s AI legislation, including its 2024 law and subsequent 2026 revisions, and California’s ongoing efforts to regulate high-risk AI systems reflect a growing expectation that employers understand and monitor the technologies they deploy. The Workday case demonstrates how litigation may develop alongside these regulatory initiatives, with courts increasingly scrutinizing not only the outcomes generated by AI tools but also the governance structures surrounding their use.

Implications and employer takeaways

Employers should resist the temptation to view Mobley as solely a vendor-liability case. Even if technology providers ultimately face increased scrutiny, employers remain the primary decision-makers in most hiring processes and are likely to remain targets of discrimination litigation. Organizations using AI-assisted recruiting, applicant-screening, or talent-management tools should inventory where AI is used in the employment lifecycle, assess whether vendors provide meaningful transparency regarding model inputs and validation efforts, and evaluate whether periodic adverse-impact testing is appropriate. Human review should remain a meaningful component of employment decision-making, particularly where automated tools influence candidate rankings or advancement decisions. Employers should also review contractual risk allocation with vendors, including representations regarding bias testing, indemnification provisions, and audit rights.

While Mobley remains far from a final merits decision, the litigation underscores a broader trend: courts, regulators, and plaintiffs are increasingly focused on how AI systems affect employment opportunities and whether employers exercised reasonable oversight before relying on algorithmic recommendations.

For more information on this topic, please contact Sunshine Fellows or your local FMG relationship partner.

Information conveyed herein should not be construed as legal advice or represent any specific or binding policy or procedure of any organization. Information provided is for educational purposes only. These materials are written in a general format and not intended to be advice applicable to any specific circumstance. Legal opinions may vary when based on subtle factual distinctions. All rights reserved. No part of this presentation may be reproduced, published or posted without the written permission of Freeman Mathis & Gary, LLP.