Automated applicant tracking systems (ATS) are now a standard part of the hiring process. While these tools are marketed as neutral and efficient, they can unlawfully disadvantage older applicants when programmed or configured in ways that disproportionately screen out candidates over 40. When this happens, affected workers may have a viable age discrimination claim under employment law.
How ATS Software Can Create Age Bias
Applicant tracking systems rely on algorithms, keyword filters, and scoring criteria to rank or eliminate candidates before a human ever reviews the application. While age is rarely listed explicitly, proxies for age are often built into the system.
Common examples include:
- Filters favoring “recent graduates”
- Scoring penalties for long employment histories
- Preference for certain software versions tied to younger workers
- Automatic rejection based on gaps that correlate with caregiving or health
- Keyword weighting that devalues older but equivalent experience
When these criteria disproportionately exclude applicants over 40, the system may be functioning in a discriminatory manner.
Why Age Discrimination Claims Still Apply to Automated Decisions
Employment laws prohibiting age discrimination apply regardless of whether a hiring decision is made by a person or a computer system. Employers cannot avoid legal responsibility by delegating screening decisions to software.
A key legal question is whether the hiring process:
- Has a disparate impact on applicants over 40
- Is justified by a legitimate business necessity
- Uses criteria that are truly job-related
- Could be achieved through less discriminatory alternatives
If an ATS systematically excludes older applicants without valid justification, liability may exist.
Warning Signs That an ATS Is Screening Based on Age
Because applicants rarely receive detailed rejection explanations, identifying age-based screening can be challenging. However, patterns may emerge.
Red flags include:
- Immediate rejection despite meeting all listed qualifications
- Repeated rejections from similar roles across multiple employers using the same ATS
- Job postings emphasizing youth-coded language
- Requests to remove graduation dates or early employment history
- Recruiter statements suggesting the role is a “better fit” for someone earlier in their career
While no single factor proves discrimination, patterns matter.
Evidence That Can Support an Age Discrimination Claim
Proving age discrimination involving automated systems often requires indirect and comparative evidence.
Helpful evidence may include:
- Proof of qualifications matching or exceeding job requirements
- Application timestamps showing automated rejection
- Job postings with age-coded language
- Statistical patterns affecting older applicants
- Internal documents or testimony about ATS configuration
In some cases, expert analysis may be used to evaluate how screening criteria impact different age groups.
Common Defenses Raised in ATS-Based Age Claims
Employers often argue that automated systems are neutral and objective. Common defenses include claims that:
- Rejections were based solely on skills or keywords
- The system applies criteria uniformly to all applicants
- Age was never directly requested or considered
- Hiring decisions were made by third-party software
These defenses do not automatically defeat a claim if the system’s operation produces discriminatory results.
Potential Remedies for Affected Applicants
When age discrimination is proven, remedies may include:
- Back pay or lost wages
- Front pay for future earnings
- Compensation for emotional distress
- Policy changes to hiring practices
- Attorney’s fees and costs
The specific remedies depend on the facts of the case and the extent of harm.
Why Legal Guidance Is Often Necessary
Age discrimination cases involving technology are complex and evidence-intensive. Without legal support, applicants may struggle to access the information needed to prove how automated systems affected their candidacy.
PLBH helps workers evaluate potential age discrimination claims and pursue accountability when hiring technology unlawfully excludes qualified applicants. If you believe an automated hiring system screened you out because of your age, contact PLBH at (800) 435-7542 to discuss your options.