Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …

Automatic legal judgment prediction (LJP) has recently received increasing attention in the
natural language processing community in part because of its practical values as well as the …

The advent of large language models (LLMs) and their adoption by the legal community has
given rise to the question: what types of legal reasoning can LLMs perform? To enable …

While significant progress has been made on the task of Legal Judgment Prediction (LJP) in
recent years, the incorrect predictions made by SOTA LJP models can be attributed in part to …

Legal judgment prediction (LJP) is a significant task in legal intelligence, which aims to
assist the judges and determine the judgment result based on the case's fact description …

Lately, propelled by the phenomenal advances around the transformer architecture, the
legal NLP field has enjoyed spectacular growth. To measure progress, well curated and …

We present a benchmark suite of four datasets for evaluating the fairness of pre-trained
language models and the techniques used to fine-tune them for downstream tasks. Our …

The recent advances of deep learning have dramatically changed how machine learning,
especially in the domain of natural language processing, can be applied to legal domain …

In this paper, we cast Legal Judgment Prediction on European Court of Human Rights cases
into an article-aware classification task, where the case outcome is classified from a …

This study investigates judgment prediction in a realistic scenario within the context of Indian
judgments, utilizing a range of transformer-based models, including InLegalBERT, BERT …