Article

Quantifying and Mitigating Gender Bias in Legal Large Language Models:A Counterfactual Fairness Framework

2026-08-07

Abstract excerpt

<title>Abstract</title> <p>We audit gender bias in legal large language models (LLMs) by choosing a setting where ground truth is unambiguous: wrongful-dismissal compensation under Article 87 of China's Labour Contract Law, whose value is uniquely determined by a statutory formula. Across 400 deterministic inferences on four mainstream LLMs, we document a form of bias that prior work has largely overlooked: count...

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Literature Corpus work: 49db5058-3794-5042-9821-b65cf2195a22
DOI: 10.21203/rs.3.rs-10031770/v1

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