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SocialGood
Kenji Yoshino built SocialGood from NYU Law research into a behavioral analytics platform used by hundreds of employers to measure inclusion.
SocialGood
SocialGood operates as a technology firm spun from the intellectual capital of NYU School of Law's Meltzer Center for Diversity, Inclusion, and Belonging, where Kenji Yoshino serves as faculty director. The entity bridges academic rigor and corporate practice, turning scholarly frameworks on covering, authenticity, and belonging into operational tools for large organizations. Its multi-city footprint spans New York, Brooklyn, Palo Alto, Boston, and Richmond, reflecting a distributed model that embeds legal-academic insight within corporate compliance and human-capital strategy. The firm's core product is an algorithmic platform that codes and measures specific workplace behaviors — bystander intervention, microaggressions, inclusive language — rather than relying on sentiment surveys. Deployment typically involves an enterprise-wide license integrated into a client's learning management system. Confirmed users include large financial institutions and technology companies seeking Title VII and EEOC-compatible documentation. The platform covers four behavioral domains: preventing harassment, interrupting unconscious bias, creating an inclusive culture, and managing across difference. Its geographic reach is predominantly US-based, though multinational corporations deploy the tool across English-speaking workforces in Europe and Asia-Pacific. Yoshino, a constitutional law scholar who clerked for Justice Anthony Kennedy and authored the landmark book "Covering," directs a team of legal academics, data scientists, and former chief diversity officers. The firm's advisory board has historically drawn from Fortune 500 legal and HR leadership. In recent years, SocialGood has shifted from custom training engagements to a SaaS subscription model, with tiered access based on employee headcount and module selection. A privacy-compliant data architecture separates individual behavioral data from corporate reporting dashboards, a structural choice that allows it to serve heavily regulated industries including financial services and healthcare. September 2023: The platform's behavioral-science methodology was cited in federal appellate amicus briefs addressing workplace training standards. What distinguishes SocialGood is its origin inside a law school, not a consulting firm or HR tech startup. The entire taxonomy — the categories of behaviors the platform scores — derives from Yoshino's published, peer-reviewed scholarship rather than market convention. This gives clients a defensible, citation-ready framework when their diversity programming faces legal challenge. The firm remains closely held, with no disclosed outside investment, and maintains its primary intellectual center at NYU Law.
General information
Firm type
Foundation
Year founded
—
AUM
Undisclosed
Location
Region
North America
Country
United States
City
New York
Corporate office
New York, United States
Additional offices
Brooklyn · Palo Alto · Boston · Richmond
Principals
Kenji Yoshino
Chief Justice Earl Warren Professor of Constitutional Law, NYU School of Law; Faculty Director, Meltzer Center for Diversity, Inclusion, and Belonging
Sector focus
Frequently asked questions
What is the intellectual foundation of SocialGood's platform?
The platform is built on Kenji Yoshino's scholarship on covering, authenticity, and belonging, developed over two decades at Yale and NYU Law Schools. His book 'Covering: The Hidden Assault on Our Civil Rights' provides the theoretical backbone, and subsequent peer-reviewed work at the Meltzer Center created the operational taxonomy of workplace behaviors the platform measures. This law-review-to-code pipeline is unusual in HR technology and gives clients a citation-ready legal defense for their training architecture.
How does SocialGood's product differ from standard diversity training?
SocialGood codes and measures specific observable workplace behaviors — such as bystander intervention or inclusive-language use — through scenario-based modules, rather than relying on self-reported attitude surveys. The platform then aggregates anonymized behavioral data to show organizational pattern shifts over time. Standard diversity training typically measures completion rates or sentiment; SocialGood claims to measure behavioral competence, with output structured to align with EEOC and Title VII evidentiary standards.
Who runs product and research decisions at SocialGood?
Kenji Yoshino leads the intellectual direction as the firm's public-facing founder and chief academic officer. The platform's pedagogical content is curated by a team of law professors, industrial-organizational psychologists, and former chief diversity officers. Day-to-day operational leadership is not publicly disclosed in detail, consistent with the firm's closely held structure and academic-institutional posture.
Is SocialGood a consulting firm or a software company?
SocialGood has evolved from a high-touch consulting and training firm into a SaaS platform. The current model is enterprise-license-based, with modules integrated into client learning management systems. However, the firm still maintains consulting-adjacent relationships for custom content development and legal advisory support, reflecting its NYU Law origins.
Which sectors does SocialGood primarily serve?
The platform serves heavily regulated, large-employer sectors where compliance documentation is critical — financial services, technology, healthcare, and higher education. The privacy-compliant data architecture that separates individual behavioral data from corporate dashboards is specifically designed to meet the compliance requirements of these industries.
Does SocialGood have disclosed outside investors?
No outside investment has been publicly disclosed. The firm appears to be closely held, with its primary institutional affiliation remaining with NYU School of Law. Its capital structure is not a matter of public record.
How does the firm handle data privacy?
The platform separates individual-level behavioral data from corporate reporting dashboards, meaning employers can see aggregate behavioral trends without accessing an individual employee's module responses. This architecture is designed to encourage honest engagement with sensitive material and to comply with data-privacy requirements in regulated industries including financial services and healthcare.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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