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

Transformer-based language models (TLMs) have widely been recognized to be a cutting-
edge technology for the successful development of deep-learning-based solutions to …

Legal documents are unstructured, use legal jargon, and have considerable length, making
them difficult to process automatically via conventional text processing techniques. A legal …

In this study, we focus on two main tasks, the first for detecting legal violations within
unstructured textual data, and the second for associating these violations with potentially …

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 …

Predicting case outcomes is useful for legal professionals to understand case law, file a
lawsuit, raise a defense, or lodge appeals, for instance. However, it is very hard to predict …