A survey on legal judgment prediction: Datasets, metrics, models and challenges

J Cui, X Shen, S Wen - IEEE Access, 2023 - ieeexplore.ieee.org
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …

Legal judgment prediction: If you are going to do it, do it right

M Medvedeva, P Mcbride - Proceedings of the Natural Legal …, 2023 - aclanthology.org
Abstract The field of Legal Judgment Prediction (LJP) has witnessed significant growth in the
past decade, with over 100 papers published in the past three years alone. Our …

Scale: Scaling up the complexity for advanced language model evaluation

V Rasiah, R Stern, V Matoshi, M Stürmer… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent strides in Large Language Models (LLMs) have saturated many NLP benchmarks
(even professional domain-specific ones), emphasizing the need for novel, more …

Legallens shared task 2024: Legal violation identification in unstructured text

B Hagag, L Harpaz, G Semo, D Bernsohn… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents the results of the LegalLens Shared Task, focusing on detecting legal
violations within text in the wild across two sub-tasks: LegalLens-NER for identifying legal …

LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text

D Bernsohn, G Semo, Y Vazana, G Hayat… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Japanese tort-case dataset for rationale-supported legal judgment prediction

H Yamada, T Tokunaga, R Ohara, A Tokutsu… - Artificial Intelligence and …, 2024 - Springer
This paper presents the first dataset for Japanese Legal Judgment Prediction (LJP), the
Japanese Tort-case Dataset (JTD), which features two tasks: tort prediction and its rationale …

Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset

N Baumgartner, M Stürmer, M Grabmair… - arXiv preprint arXiv …, 2024 - arxiv.org
The assessment of explainability in Legal Judgement Prediction (LJP) systems is of
paramount importance in building trustworthy and transparent systems, particularly …

Improving colloquial case legal judgment prediction via abstractive text summarization

YX Hong, CH Chang - Computer Law & Security Review, 2023 - Elsevier
Abstract Most studies on Legal Judgment Prediction (LJP) use court verdicts or indictments
as the training data source. Such models could assist judicial professionals who can use …

Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges

F Ariai, G Demartini - arXiv preprint arXiv:2410.21306, 2024 - arxiv.org
Natural Language Processing is revolutionizing the way legal professionals and laypersons
operate in the legal field. The considerable potential for Natural Language Processing in the …

FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning

J Niklaus, L Zheng, AD McCarthy, C Hahn… - arXiv preprint arXiv …, 2024 - arxiv.org
Instruction tuning is an important step in making language models useful for direct user
interaction. However, many legal tasks remain out of reach for most open LLMs and there do …