linganaLABS

Resource hub

AI hiring audits, in context.

Short, sourced guides on the rules, evidence, and cases shaping the use of automated hiring tools.

Guide · Risk and cost

What can it cost to leave a hiring tool unexamined?

A practical look at regulatory penalties, discrimination claims, and the work involved in responding to concerns about a tool.

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Case brief · Ongoing litigation

Mobley v. Workday: a case to watch

What applicants allege about algorithmic screening, what the court has decided so far, and the questions the case raises for audits.

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Guide · Evidence checklist

What evidence should you ask for before using an AI hiring tool?

Questions to ask a vendor and your own team before relying on automated hiring scores or recommendations.

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Guide · Reading an audit

Your hiring tool had a bias audit. What did it actually show?

Why group outcome figures matter, and which questions remain after you have an audit report.

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These resources are general information, current as of October 14, 2026. Legal obligations depend on the tool, its use, and the jurisdiction.