how it happened
- whoAI screeningat very large scale
- the gapaggregate patterninvisible to one applicant
- the resultcollective actionage discrimination claim certified
what everyone assumed
Buying a screening tool is supposed to remove judgment, and removing judgment is supposed to remove bias. A machine does not have a gut feeling about your age. It is a reasonable belief, and it is exactly how these tools are sold and how the procurement decision reads on paper: hand the first cut to software and you have made hiring more consistent, not less lawful.
what happened
The screening ran the way screening runs, quietly, at scale, one application at a time. Workday represented that roughly 1.1 billion applications were rejected through its tools during the relevant period. No single rejection looked like a legal event. The shape only existed in the aggregate, across applicants nobody was comparing to each other, and the aggregate is the one view a single rejected candidate never gets to see.
step by step
- AI screening runs at scaleAbout 1.1 billion applications rejected through the tools, Workday said.
- the pattern only shows in aggregateNo single rejection looks like a legal event.the assumption breaks here
- 16 May 2025collective certification under the ADEAThe court finds a plausible common policy.
- July to December 2025HiredScore included, notice plan approvedAllegations only; the case is ongoing.
how it surfaced
Derek Mobley, who alleged he was rejected from a large number of roles, brought a claim that Workday’s AI screening discriminated against applicants over forty under the Age Discrimination in Employment Act. On May 16, 2025, Judge Rita Lin of the U.S. District Court for the Northern District of California granted preliminary collective certification under the ADEA, finding the plaintiff had plausibly shown a common policy with an alleged disparate impact. On July 7, 2025, the court held the collective reached applicants screened by Workday’s HiredScore features, rejecting the argument that HiredScore was a separate, later-acquired product. The court approved a plan to notify prospective collective members on December 2, 2025. These are allegations and procedural rulings, not findings of liability; the case is ongoing and Workday disputes the claims.
A screening tool does not absorb the legal responsibility for who it screens out.
The employer, and potentially the vendor, still own the pattern the tool produces, whether or not anyone is looking at it in aggregate.
picture it at a company like yours
The company here is made up. The other two paths are not: they happened, and each links to the story.
- in this storythe day it mattersA rejected applicant brings a case that the screening is biased.what it costs youYou are part of a lawsuit about decisions your team never saw.
- or it goes like thisit happenediTutorGroup, 2023howA screening rule quietly rejects applicants by age.what leavesa discrimination settlementwho ends up with ita regulator acting for the applicants
- or it goes like thisit happenedAmazon, 2018howA model learns past hiring patterns as signs of quality.what leavesa year of skewed decisionswho ends up with itcandidates who never knew why
sources
your turn
what you can do about it
this week
Ask your team one question about whatever tool screens your applicants: has anyone tested its outcomes across age, and can we see that result.
Somewhere in your hiring, software is making a first cut, and the people it rejects are receiving a clean, ordinary rejection that reveals nothing about the rule that produced it. The question the quiet months ask is whether anyone on your side has looked at the shape of those rejections, not the individual calls.
go deeper
if you're not sure where to start
Run the offboarding checklist on one leaver. It covers every account and token to close when someone leaves.
open the checklist →