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cs.CL2025
When Fairness Isn't Statistical: The Limits of Machine Learning in Evaluating Legal Reasoning
Claire Barale, Michael Rovatsos, Nehal Bhuta
Legal decisions are increasingly evaluated for fairness, consistency, and bias using machine learning (ML) techniques. In high-stakes domains like refugee adjudication, such method…
cs.CL2023
Do Language Models Learn about Legal Entity Types during Pretraining?
Claire Barale, Michael Rovatsos, Nehal Bhuta
Language Models (LMs) have proven their ability to acquire diverse linguistic knowledge during the pretraining phase, potentially serving as a valuable source of incidental supervi…
cs.CL2023
Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners
Claire Barale, Michael Rovatsos, Nehal Bhuta
In this paper, we introduce an end-to-end pipeline for retrieving, processing, and extracting targeted information from legal cases. We investigate an under-studied legal domain wi…