1 citations · 1 across the 4 of their papers we have counts for
5 papers
Shortcut Learning in Legal Judgment Prediction: Empirical Evidence from the UK Employment Tribunal
Joe Watson, Joana Ribeiro de Faria, Marcus Tomalin +6
Current Legal Judgment Prediction (LJP) is constrained by its reliance on post-hoc judicial materials, increasing the likelihood that models perform retrospective classification ra…
Large Language Models' Complicit Responses to Illicit Instructions across Socio-Legal Contexts
Xing Wang, Huiyuan Xie, Yiyan Wang +7
Large language models (LLMs) are now deployed at unprecedented scale, assisting millions of users in daily tasks. However, the risk of these models assisting unlawful activities re…
The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal
Huiyuan Xie, Felix Steffek, Joana Ribeiro de Faria +2
This paper explores the intersection of technological innovation and access to justice by developing a benchmark for predicting case outcomes in the UK Employment Tribunal (UKET).…
Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models
Joana Ribeiro de Faria, Huiyuan Xie, Felix Steffek
Court transcripts and judgments are rich repositories of legal knowledge, detailing the intricacies of cases and the rationale behind judicial decisions. The extraction of key info…
The Cambridge Law Corpus: A Dataset for Legal AI Research
Andreas Östling, Holli Sargeant, Huiyuan Xie +5
We introduce the Cambridge Law Corpus (CLC), a dataset for legal AI research. It consists of over 250 000 court cases from the UK. Most cases are from the 21st century, but the cor…