Govern the AI in your hiring process before regulators find it first
Risk Meridian helps HR and talent teams document hiring AI systems, run bias risk assessments, generate candidate notices, and build a defensible record for the disparate-impact, NYC Local Law 144, and TRAIGA exposure that hiring AI creates — all from a single platform built for employment AI compliance.
Which hiring AI systems carry regulatory risk?
Risk Meridian covers any AI system that materially influences an employment decision. Here are the most common categories HR teams use — and the specific regulatory exposure each creates.
Resume screening and parsing AI
AI that parses, scores, or ranks resumes is a primary source of disparate-impact risk under Title VII and EEOC enforcement, and it falls squarely within NYC Local Law 144's bias-audit rules. Documenting and bias-testing these systems is how you build a defensible record.
Video interview analysis AI
AI that analyzes candidate facial expressions, speech patterns, word choice, or emotional signals during recorded interviews carries significant disparate-impact and disability-bias risk under Title VII and the ADA, and falls within NYC Local Law 144. Documenting oversight and bias testing is how you build a defensible record.
Candidate ranking and scoring platforms
Third-party platforms like HireVue, Pymetrics, or custom ML models that rank candidates based on predicted job fit must be inventoried, assessed for disparate impact, and covered by appropriate disclosures.
Background screening AI
AI-powered background checks that aggregate and score candidate data from multiple sources implicate the FCRA and affect protected classes — warranting documentation of training data, bias testing methodology, and human review processes.
Workforce planning and headcount AI
Predictive workforce planning tools that forecast headcount, recommend role eliminations, or rank employees for restructuring decisions affect livelihoods and can carry disparate-impact exposure under federal and state employment law. Governance documentation helps you build a defensible record.
Compensation and promotion AI
AI systems used to set compensation bands, recommend salary increases, or rank employees for promotion opportunities affect pay equity and warrant bias testing and audit-trail documentation.
HR AI governance capabilities built for your team
Six integrated features that take your HR team from zero visibility into hiring AI to a fully documented, audit-ready governance program.
Hiring AI System Inventory
Centralized registry for every AI system in your hiring and HR tech stack — from ATS-embedded scoring to third-party video interview analysis. Capture vendor, model, use-case, candidate population, and human review checkpoints.
Bias Risk Assessment
HR-specific risk scoring that accounts for protected class exposure, disparate impact potential, training data demographics, and human override capabilities. Produces a Risk Meridian risk classification (Low/Moderate/High) — our own methodology — informed by disparate-impact and employment-law considerations.
Candidate Disclosure Generator
One-click generation of candidate-facing AI notices — supporting NYC Local Law 144's candidate-notification requirement and serving as a transparency best practice. Pre-populated from your system inventory — plain-language notices suitable for ATS communication workflows.
Bias Testing Documentation
Structured fields for documenting bias testing methodology, test datasets, disparate impact ratios, and remediation actions. Produces the audit record that regulators and plaintiffs' attorneys expect to see.
Human Review Workflow Documentation
Document and track the human-in-the-loop checkpoints in your hiring process — who reviews AI recommendations, under what conditions overrides occur, and how exceptions are logged.
HR AI Governance Reporting
Board-ready and C-suite AI governance reports that summarize hiring AI risk posture, bias testing status, control implementation, and open incidents — supporting your DEI and legal risk reporting obligations.
HR AI governance in four steps
From blank slate to documented, audit-ready hiring AI governance — Risk Meridian guides your HR, legal, and compliance team through each step.
Inventory every hiring AI tool in your tech stack
Register each AI system used in your hiring funnel — ATS scoring, video interview analysis, background screening AI, and workforce planning models. Risk Meridian's guided form captures exactly what regulators want to know: vendor, model, candidate population, and decision context.
Run automated bias risk assessments
Risk Meridian's HR-specific risk engine evaluates each system on protected class exposure, disparate impact potential, training data bias, and human review adequacy. Get a calibrated risk tier — and the specific controls required at each level.
Document bias testing and human oversight
Record your bias testing methodology, results, and remediation steps in structured fields designed for regulatory examination. Document who reviews AI recommendations, when, and how. Build the audit record your legal team needs.
Generate candidate notices automatically
One-click generation of candidate notices — supporting NYC Local Law 144's notification requirement and AI-use transparency. Pre-populated from your system inventory and formatted for use in ATS communication workflows. No manual drafting — no missed notices.
The regulatory landscape for hiring AI
Employment AI is regulated at the federal, state, and municipal level. Risk Meridian maps your compliance posture across every applicable framework.
Texas Responsible AI Governance Act (TRAIGA)
Scope: Texas law in force since Jan 1, 2026 — an intent-based prohibition, not an inventory or disclosure mandate for private employers
- Prohibits using AI to intentionally unlawfully discriminate against a protected class
- No inventory, registration, or candidate-disclosure mandate for private employers
- Enforced exclusively by the Texas Attorney General, after a 60-day cure period
- No private right of action
- Documentation supports a good-faith, defensible compliance record
Title VII & EEOC Disparate-Impact Law
Scope: Federal employment law enforced by the EEOC and via private lawsuits — applies to AI selection tools under Title VII, the ADA, and the ADEA
- Disparate impact analysis for AI selection tools
- Adverse impact testing before deployment
- Record-keeping obligations
- Reasonable accommodation obligations for AI barriers
New York City Local Law 144
Scope: Employers using automated employment decision tools (AEDTs) in NYC
- Bias audit by independent auditor before use
- Public posting of bias audit summary
- Candidate notification before AEDT use
EU AI Act — Employment AI
Scope: High-risk AI systems used in recruitment, selection, and promotion
- Classified as high-risk (Annex III)
- Conformity assessment required
- Technical documentation
- Transparency obligations for affected workers
- Human oversight for all decisions
HR & hiring AI governance — frequently asked questions
Common questions from HR leaders, employment counsel, and talent acquisition teams navigating AI regulation.
- How does TRAIGA apply to AI used in hiring?
- TRAIGA, in force since January 1, 2026, prohibits using AI for specified intentional harmful purposes — including intentional unlawful discrimination against a protected class. It is enforced exclusively by the Texas Attorney General (after a 60-day cure period), creates no private right of action, and does not require private employers to maintain an AI inventory, run risk assessments, or issue candidate disclosures. The affirmative legal exposure in hiring comes mainly from Title VII and EEOC disparate-impact law, NYC Local Law 144, and state employment law. Because TRAIGA liability turns on intent, a documented record of purpose, testing, and oversight is how you show good faith — which is exactly what Risk Meridian helps you build.
- Which hiring AI systems should you document and govern?
- Any AI system that materially influences a hiring or employment decision is worth documenting and bias-testing. This includes: resume parsing and scoring AI, applicant tracking systems with AI ranking features, video interview analysis tools, third-party candidate assessment platforms, background screening AI, workforce planning models, and compensation or promotion recommendation systems. If your organization deployed or configured the AI — even a vendor product — you are the party exposed under employment law, so you are the one who benefits from a defensible governance record.
- Are employers required to disclose AI use to candidates?
- Enacted TRAIGA does not require private employers to notify candidates that AI was used or that an adverse decision was influenced by AI — that candidate-disclosure regime was part of an earlier draft that did not become law. Where candidate notice is actually required today is NYC Local Law 144, which requires notice before an automated employment decision tool is used. Many employers also choose to disclose AI use as a transparency best practice. Risk Meridian's disclosure generator produces these notices from your system inventory data, formatted for ATS communication workflows.
- What bias testing documentation do we need?
- Regulators and employment law practitioners expect documentation of: the bias testing methodology used, the demographics of the training and validation datasets, disparate impact ratios across protected classes (race, gender, age, disability), any remediation steps taken when disparate impact was identified, and the date and party responsible for testing. Risk Meridian provides structured fields for all of this documentation and produces a record you can produce on request.
- How does Risk Meridian handle vendor-supplied AI in ATS platforms?
- Many ATS platforms — Workday, Greenhouse, Lever, iCIMS — include AI-powered ranking or scoring features. Your organization, as the deployer, is the party exposed under employment law — Title VII, NYC Local Law 144, and state law — regardless of whether the AI was built by the ATS vendor. Risk Meridian provides a vendor questionnaire template to collect the documentation you need from your ATS and HR tech vendors, and structured fields to record what they provide.
- Does Risk Meridian cover AI used in performance management?
- Yes. AI systems used in performance rating, promotion scoring, or disciplinary decision support are supported by Risk Meridian's employment-AI governance features. These systems affect employees' job security and compensation and warrant the same inventory, risk assessment, and oversight documentation as hiring AI.
- How does New York City Local Law 144 relate to TRAIGA?
- NYC Local Law 144 requires employers using automated employment decision tools in New York City to conduct an annual bias audit by an independent auditor, post audit results publicly, and notify candidates before using an AEDT. TRAIGA, by contrast, is an intent-based prohibition enforced by the Texas Attorney General — it does not impose a bias-audit or candidate-notice mandate on private employers. Risk Meridian supports both: its bias testing documentation features help you prepare for LL 144's audit requirement, and its disclosure generator produces the candidate notices LL 144 requires.
- Can Risk Meridian help us prepare for an EEOC investigation involving hiring AI?
- Yes. Risk Meridian's tamper-evident, append-only audit trail, structured risk assessment records, bias testing documentation, and control implementation logs provide exactly the evidence package needed in an EEOC investigation or employment litigation involving algorithmic hiring decisions. The platform is designed to make your governance story defensible — not just documented.
Other Risk Meridian solutions
Healthcare AI Governance
Purpose-built for hospitals and health systems navigating TRAIGA and clinical AI oversight.
Finance AI Compliance
For banks, insurers, and fintechs managing AI risk in credit, fraud detection, and underwriting.
Enterprise AI Governance
Large organizations deploying AI across multiple business units and jurisdictions.
Document your hiring AI — before the next regulation lands
Employment AI regulation is accelerating at the federal, state, and municipal level. Start your HR AI governance program today — first system inventoried in minutes.
Candidate notices generated instantly
Bias documentation built for EEOC scrutiny
NYC Local Law 144 audit prep included