Search, screen, analyze with AI, and export — four steps from an employer name to a complete enforcement intelligence report across WHD, NLRB, OSHA, SEC EDGAR, and state attorneys general.
Every enforcement record — from federal inspections to state AG settlements — linked into a single employer profile with full data provenance.
From a simple employer name search to a cross-agency enforcement analytics report.
Enter any employer name. LaborAudit matches across name variations, DBAs, and subsidiaries to find all records — even when agencies use different names for the same company.
Try a free lookup →See the full cross-agency enforcement profile: wage cases, labor relations filings, safety inspections, corporate linkages, and state AG actions — all in one place with enforcement risk scoring.
View the dashboard →Predictive models identify which employers face enforcement next. Anomaly detection flags unusual enforcement clusters. Natural language queries let you ask questions across all datasets in plain English.
See plan features →Generate employer dossiers, CSV data exports, PDF reports, and compliance audit packages. Set up watchlist alerts to monitor employers for new enforcement actions automatically.
Compare export options →Supplier risk assessment and labor compliance screening for the professionals who need it most.
Predictive risk scores identify employers likely to face enforcement next. Use cross-agency enforcement history as discovery material. OSHA citation patterns support class certification in wage-and-hour cases.
Map federal enforcement actions to GRI, SASB, UNGP, and CSDDD indicators. Employer similarity analysis finds peers for benchmarking. Screen supply chain partners and generate ESG due diligence reports.
Batch screening with AI-powered risk scoring. Uncover enforcement risk hidden in subsidiaries and DBAs. Workers' Comp and employment liability indicators quantify exposure before acquisition.
Anomaly detection alerts flag unusual enforcement clusters before they escalate. Benchmark industry enforcement rates, track violation trends, and set up watchlist alerts for your employer portfolio.
Assess workforce risk exposure using OSHA severity patterns, labor relations activity, and industry benchmarks. AI-powered risk indicators surface liability signals before policy binding.
Labor compliance screening is the process of checking an employer's enforcement history across federal agencies — including OSHA workplace safety inspections, DOL Wage and Hour Division investigations, and NLRB unfair labor practice filings — to assess regulatory risk before hiring, investing, or entering a supply chain relationship.
LaborAudit indexes comprehensive OSHA inspection and violation data from the Department of Labor's enforcement database. Our entity resolution engine links OSHA records to the same employer across WHD and NLRB databases, giving you a cross-agency view that single-source lookups miss.
LaborAudit unifies five data sources: DOL Wage & Hour Division, NLRB, OSHA, SEC EDGAR, and state attorneys general enforcement actions. All data is linked through automated entity resolution into a canonical employer graph with full data provenance tracking.
Cross-agency enforcement data maps directly to ESG frameworks including GRI 403 (Occupational Health and Safety), SASB SV-HL-310 (Workforce Health & Safety), UNGP human rights indicators, and EU CSDDD adverse impact identification. LaborAudit maps enforcement actions to 43 ESG indicators across these four frameworks.
Yes. LaborAudit links SEC EDGAR Exhibit 21 subsidiary disclosures to enforcement records in WHD, NLRB, and OSHA. This reveals enforcement actions filed under subsidiary or DBA names that standard single-entity searches miss — critical for M&A due diligence and CSDDD compliance.
The Labor Enforcement Risk Score (LERS) is a 0–100 composite score with AAA-to-C ratings. It uses machine learning trained on employer enforcement data to predict future enforcement risk, combining violation severity, recurrence patterns, cross-agency breadth, penalty magnitude, and temporal trends.
LaborAudit uses multiple AI models: machine learning for predictive risk scoring, graph-based AI for employer similarity analysis, anomaly detection algorithms for enforcement pattern recognition, AI-powered semantic search across OSHA accident narratives, and AI for natural language queries. All models are trained on real federal enforcement data across employers.
LaborAudit uses graph-based AI trained on employers to capture structural compliance patterns — employers with similar enforcement histories, industries, and violation profiles cluster together. This powers the 'Similar Employers' and 'Enforcement Pattern Analysis' features, useful for supply chain peer analysis and insurance risk benchmarking.
Free enforcement lookups, no account required. Full cross-agency analytics with a paid plan.