Bringing Value to Labor Enforcement Due Diligence

If you're an employment lawyer, ESG analyst, or M&A team doing labor due diligence, here's your current workflow:

1. Search OSHA.gov for safety violations

2. Search enforcedata.dol.gov for wage theft cases

3. Search NLRB.gov for unfair labor practice charges

4. Search SEC EDGAR for corporate subsidiaries

5. Check individual state attorney general websites

Five separate databases. Five different search tools. Five different name formats for the same company. "Walmart" on OSHA, "Wal-Mart Stores Inc" on WHD, "Walmart Supercenter 764" on NLRB — same company, three different searches, zero connection between them.

And the real kicker: the most important pattern — that OSHA violations often predict WHD wage investigations within 18 months and NLRB charges within 36 months — is completely invisible when you search agencies one at a time.

What I Built

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LaborAudit unifies enforcement data from 5+ federal and state agencies into a single search. One query returns the complete enforcement profile for any employer, linked through Bayesian entity resolution.

Core Features

Cross-Agency Entity Resolution

Employer entities resolved across WHD, NLRB, OSHA, SEC EDGAR, and state AGs

Bayesian probabilistic matching links records even when employers use different names, addresses, or identifiers across agencies

Search "Walmart" → see all Walmart entities across all agencies in one profile

LERS Risk Scoring

Labor Enforcement Risk Score (0-100, AAA to C rating)

ML algorithms trained of temporal patterns and heuristics of 2.3M employers

SourceSeal Provenance: All Data traceable to origin/source

M&A Due Diligence Screening

Batch-screen acquisition targets with automated red flag detection

Cross-agency correlation shows patterns no single-agency search reveals

Dossier export

Ask LaborAudit (NL Query)

Natural language queries against 18 enforcement tools

"Show me restaurants in California with repeat OSHA violations and active NLRB charges"

Corporate Family Trees

SEC subsidiary mapping

Roll-up enforcement risk across parent → subsidiary hierarchies

OSHA, WHD, and NLRB each maintain separate databases with no cross-referencing. We link them.

OSHA inspections with violation-level detail. This is public data, but nobody else searches all 5 agencies at once.

Enforcement pattern detection — the OSHA → WHD → NLRB escalation sequence is statistically significant but invisible without cross-agency linking.

Data freshness — automated pipelines update NLRB daily, OSHA/WHD monthly, SEC weekly.

Try It

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Free lookup: [laboraudit.com/lookup](https://laboraudit.com/lookup)

Blog (real enforcement data analysis): [laboraudit.com/blog](https://laboraudit.com/blog)

Example employer profile: [laboraudit.com/e/starbucks-corporation](https://laboraudit.com/e/starbucks-corporation)

State enforcement data: [laboraudit.com/enforcement/state/ca](https://laboraudit.com/enforcement/state/ca)

Would love to hear your thoughts. Happy to answer any technical questions about the entity resolution, ML pipeline, or data architecture.