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EMPIRICAL RISK INTELLIGENCE

Quantifying ESG Discrepancies Through Legal Data

Quantifying ESG Discrepancies Through Legal Data

We bypass PR noise. Our proprietary engine parses U.S. federal agency records and court dockets to quantify the empirical gap between sustainability claims and actual legal liabilities.

Screen Your Portfolio

Public ESG Claim (Starbucks Corp.):

"100% Ethical Coffee"

"100% Ethical Coffee"

"Pledged 100% ethically sourced coffee & partner-first workplace culture."

Empirical Reality (Risk Index):

27/100

• Federal forced-labor (TVPRA) lawsuit over Brazilian farm debt bondage.

• $38.9M NYC settlement for 500,000+ automated scheduling violations.

• Hundreds of NLRB complaints masked as "remote" in SEC filings.

The Anatomy of Our Risk Index

The Anatomy of Our Risk Index

Our algorithmic framework evaluates public legal data across four distinct pillars to calculate empirical operational divergence.

Traceability (30%)

Supply chain transparency and tier 1-3 contractor disclosure.

Due Diligence (25%)

Verifiable proactive risk mitigation vs. decorative compliance.

Remedy (25%)

Empirical proof of direct financial compensation to affected parties.

History (20%)

Patterns of recurring regulatory non-compliance and litigation.

Download the Starbucks Discrepancy Report

Download the Starbucks Discrepancy Report

Uncover the empirical data and legal liabilities hidden behind "100% Ethical" claims.

Disclaimer: Our algorithmic discrepancy reports are based strictly on public data. They do not constitute legal findings or claims of misconduct.

© 2026 Speransky Intelligence (Global Data Intelligence LLC).