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 case retrieval, which aims to find relevant cases for a query case, plays a core role in
the intelligent legal system. Despite the success that pre-training has achieved in ad-hoc …

Legal artificial intelligence (LegalAI) aims to benefit legal systems with the technology of
artificial intelligence, especially natural language processing (NLP). Recently, inspired by …

As the patent landscape continues to grow, so does the complexity of retrieving relevant
“prior art”,“background art”, or “state of the art” from an expanding pool of publicly available …

In the last years, the legal domain has been revolutionized by the use of Information and
Communication Technologies, producing large amount of digital information. Legal …

As an essential operation of legal retrieval, legal case matching plays a central role in
intelligent legal systems. This task has a high demand on the explainability of matching …

Legal text retrieval serves as a key component in a wide range of legal text processing tasks
such as legal question answering, legal case entailment, and statute law retrieval. The …

As an important component of intelligent legal systems, legal case retrieval plays a critical
role in ensuring judicial justice and fairness. However, the development of legal case …

This paper investigates the potential for reducing the complexity of AI and Law and empirical
legal studies projects through a novel annotation methodology that relies on GPT Family …

Estimating the similarity between two legal case documents is an important and challenging
problem, having various downstream applications such as prior-case retrieval and citation …