Disparate Impact Claims Against California Employers: The Defense
A California employer can face a discrimination claim over a hiring test or a degree requirement that nobody intended to discriminate. That’s a disparate impact claim. Under the Civil Rights Council’s regulations, a practice with an adverse impact on a protected group “is unlawful unless the policy or practice is job-related and consistent with business necessity.” The plaintiff usually has to prove the impact with real statistics, and the employer’s defense is proof that the practice measures what the job requires.
What is a disparate impact claim?
It’s a claim that a neutral rule falls harder on one protected group, whatever the employer’s intent.
The Court of Appeal in Jumaane v. City of Los Angeles (2015) 241 Cal.App.4th 1390 drew the line between the two main discrimination theories. In disparate treatment cases, “the plaintiff must prove a discriminatory intent or motive.” In disparate impact cases, the plaintiff “alleges and proves, usually through statistical disparities, that facially neutral employment practices adopted without a deliberately discriminatory motive nevertheless have such significant adverse effects on protected groups that they are ‘in operation . . . functionally equivalent to intentional discrimination.’”
That difference changes the case. A disparate treatment claim is about one decision and one manager’s motive. A disparate impact claim is about a practice and its numbers, and it can sweep in every applicant or employee the practice touched. That’s why these claims often arrive as class actions or CRD group complaints.
What does California’s regulation require?
That a selection practice with an adverse impact be job-related and consistent with business necessity.
Section 11017 of the Civil Rights Council’s regulations covers employee selection. Subdivision (a) says that “Any policy or practice of an employer or other covered entity that has an adverse impact on employment opportunities of individuals on a basis enumerated in the Act is unlawful unless the policy or practice is job-related and consistent with business necessity.” It also adopts the federal Uniform Guidelines on Employee Selection Procedures, which most validation studies follow.
Subdivision (e) applies the same rule to “A testing device, automated-decision system, or other means of selection that is facially neutral.” The automated-decision language took effect on October 1, 2025, and it puts AI screening tools under the same standard as paper tests. The firm’s post on the No Robo Bosses Act covers the separate human-review and notice rules a 2026 law adds for those systems.
The same regulation names other practices that draw these claims: height and weight standards, placements that steer groups into less desirable assignments, and promotion and transfer information that’s shared with some employees and not others.
What does business necessity mean in California?
More than convenience. The regulatory definition is demanding.
Section 11010(b) says the employer “must prove that there exists an overriding legitimate business purpose such that the practice is necessary to the safe and efficient operation of the business and the challenged practice effectively fulfills the business purpose it is supposed to serve.” It adds that the practice “may still be impermissible where it is shown that there exists an alternative practice that would accomplish the business purpose equally well with a lesser discriminatory impact.”
That second sentence is where many cases are fought. Even an employer that proves its test is job-related can face an argument that a different test, a lower cutoff score, or a structured interview would have worked as well with less impact. An employer that considered alternatives before adopting the practice, and wrote down why it chose this one, is in a much stronger position.
Federal law has a similar structure. Title VII’s disparate impact provision, 42 U.S.C. § 2000e-2(k), requires the complaining party to “demonstrate that each particular challenged employment practice causes a disparate impact,” with a narrow exception when the parts of a decision process can’t be separated. California courts look to federal precedent in these cases, so that requirement of a specific practice carries weight in FEHA litigation as well.
Why are statistics so important to the defense?
Because without them, the claim usually fails.
The Jumaane court said “It is well settled that valid statistical evidence is required to prove disparate impact discrimination, that is, that a facially neutral policy has caused a protected group to suffer adverse effects.” The plaintiff there, a longtime Los Angeles Fire Department employee, won a jury verdict on a disparate impact theory about the department’s discipline policy. The Court of Appeal reversed and directed judgment for the city.
The plaintiff’s evidence was a set of old internal audit memos showing disproportionate discipline of African American firefighters in the early 1990s. The court held that “The bare statistics cited in these memoranda, without more, are not substantial evidence” of disparate impact, and that even if they were, they were “irrelevant to the period of 1998 and after, during which plaintiff’s claims arose.” The court also rejected the attempt to rescue the claim with proof of bias against the plaintiff personally, because “Evidence of racial discrimination against plaintiff cannot save his disparate impact claim.”
Those holdings give employers three lines of attack on a plaintiff’s numbers: the wrong comparison pool, the wrong time period, and no expert analysis showing a statistically meaningful gap.
| Practice under attack | What the plaintiff must show | Where the employer’s defense usually sits |
|---|---|---|
| Written or skills test | The test screened out a protected group at a much higher rate | A validation study under the Uniform Guidelines, and evidence alternatives were considered |
| Degree or credential requirement | The requirement excluded qualified members of a protected group | Proof the credential predicts job performance, not just general preference |
| Height, weight, or strength standard | The standard disproportionately excluded a protected group | Job analysis tying the standard to actual job tasks and safety |
| Automated screening tool | The tool’s output had an adverse impact on a protected group | Testing records, vendor documentation, and human review of results |
| Discipline or promotion policy | A current statistical disparity tied to the specific policy | Expert analysis of the right comparison pool and time period |
How should an employer test its own practices?
Under the direction of counsel, before a claim arrives.
An adverse impact analysis compares selection rates across groups for each step of a hiring or promotion process. Doing that work in advance lets an employer fix a problem quietly, or document why a practice is necessary. Doing it at the direction of a lawyer gives the company the best chance of keeping the analysis privileged. A self-audit run by HR without counsel, saved in a shared folder, can become the plaintiff’s best exhibit.
The other part of the defense is a job analysis. A test or standard is far easier to defend when the company can show, in a document prepared before the challenge, which job tasks it measures and why the cutoff was set where it was. Vendors who sell screening tools should be asked for their validation evidence in writing, and the contract should require them to cooperate if the tool is challenged.
Steps to take when a selection practice is challenged
- Preserve applicant flow data, test scores, scoring keys, job postings, vendor contracts, and every version of the challenged policy, under a litigation hold once a claim arrives.
- Calendar the response date on the CRD complaint, EEOC charge, or summons, and check for an arbitration agreement and an EPLI policy with notice requirements.
- Identify who designed and approved the practice, and stop any further action against the named applicants or employees that could look like retaliation.
- Pull the documents the defense depends on: any validation study, the job analysis, records of alternatives considered, and prior adverse impact reviews.
- Talk to a lawyer before responding, running new statistics, contacting the claimants or their lawyer, or offering anything to settle.
Statistical cases like these are a regular part of employment litigation defense for California employers, and the expert work often decides them.
FAQ
Does a plaintiff have to prove the employer intended to discriminate?
No. A disparate impact claim doesn’t require proof of intent. The plaintiff instead has to show that a specific, facially neutral practice caused a real adverse effect on a protected group, usually with statistical evidence. If the plaintiff makes that showing, the burden moves to the employer to prove the practice is job-related and consistent with business necessity.
Can a single employee bring a disparate impact claim?
Yes, but the proof is still about a group. Even one plaintiff has to show that the practice affected members of the protected class as a whole, not just that the plaintiff was treated badly. In Jumaane, evidence of discrimination against the plaintiff personally couldn’t save the disparate impact claim. That’s why these cases so often turn into fights between statistical experts.
Do automated hiring tools count as a selection practice?
Yes. California’s employee selection regulation expressly covers a facially neutral “automated-decision system,” and applies the same job-related and business necessity standard used for written tests. Buying a tool from a vendor doesn’t shift the employer’s responsibility for its results. Employers should ask vendors for validation data and keep their own records of how the tool performs.
Is a validation study required before using a hiring test?
The regulations don’t require one in advance, but the employer bears the burden of proving business necessity once an adverse impact is shown. California adopted the federal Uniform Guidelines, which describe how validation studies are done. As a practical matter, a test with no validation evidence is very hard to defend once a disparity appears.
If your hiring or promotion process has been challenged
If your company has received a CRD complaint, an EEOC charge, or a class action alleging that a test, credential, or screening tool screened out a protected group, the validation record and the right statistical comparison usually decide the case. Rosenberger + Kawabata represents employers defending employment lawsuits and claims through its business litigation practice, including claims involving disparate impact from hiring and promotion practices. Contact Rosenberger + Kawabata online for a confidential consultation, or call (310) 894-6921.
Sources
42 U.S.C. § 2000e-2; California Code of Regulations, title 2, sections 11010 and 11017; Jumaane v. City of Los Angeles (2015) 241 Cal.App.4th 1390.
This post is general information about California and federal employment law as of November 7, 2026. It is not legal advice, and reading it does not create an attorney-client relationship. Employment statutes, regulations, and court decisions change often, and the outcome of any claim depends on its facts. Past results do not guarantee future outcomes.