A growing number of states now require pay data reporting, and plaintiffs' attorneys have gotten far more sophisticated about using statistical pay-gap analysis as the opening move in a class-action wage discrimination claim. Waiting for a complaint before you look at your own numbers is the riskiest possible strategy.
What a pay equity audit actually measures
It's not a comparison of average pay across your whole company — that comparison is almost meaningless. A real audit groups employees by role, level, and location, then measures the pay gap within each comparable group, controlling for legitimate factors like tenure and performance rating.
Why "we don't discriminate intentionally" isn't a defense
Most pay equity claims aren't about intentional discrimination — they're about disparate impact from years of accumulated small decisions: slightly different starting offers, inconsistent raise timing, or informal negotiation that rewards some employees more than others regardless of role.
Severity matters more than existence
A small, explainable gap within a role group is very different from a large, unexplained one — the audit needs to tell you not just that a gap exists, but how severe it is and whether it's the kind of pattern that would concern a regulator or a plaintiff's expert witness.
Run the numbers before someone else does
AskHrAI's Pay Equity Analyzer computes exact, deterministic pay-gap statistics by role group — no AI guesswork on the math — then adds legal context and recommendations for your state. It's not proof of discrimination on its own, but it's the same first step a serious investigation would take.