The Employer of Record (EOR) Paper – NYU Journal of Law & Business (forthcoming)
This paper, The Global Employer: Regulating Cross-Border Work Through the Employer of Record Model, offers a qualitative and comparative analysis of how national legal systems define and regulate the Employer of Record (EOR) model—a fast-growing HR solution that enables global hiring without establishing a local entity. Drawing on interviews with employment counsel across 15 jurisdictions, the paper proposes an “accountable employer” framework to clarify responsibility in cross-border work. The study was conducted in collaboration with Deel, a global leader in international HR.
Legal Classification and AI Compliance Project – Conflict Analytics Lab & Deel
This project builds on a machine-learning system developed by the Conflict Analytics Lab for Deel. The model analyzes thousands of worker-classification decisions across multiple legal systems to predict employment status and compliance risk. The study aims to map how law and practice converge around the definition of “employee,” contributing to a more consistent and data-driven understanding of global labor classification.
HR Compliance and Growth Study – Deel, NBER, and Harvard (early stage / memo attached)
This early-stage collaboration with Deel, NBER, and Harvard economist Daniel Chen explores whether access to HR and compliance support helps firms grow and expand internationally. The goal is to test whether labor-law compliance and enforcement tools—like Deel’s Misclassification Assessment Tool—improve company performance and job creation. The project aims to cover more than 20 legal systems by the end of 2026.