This study investigates the performance of the zero-shot method in classifying data using three large language models, alongside two models with large input token sizes and the two pre-trained models on legal data. Our main dataset comes from the domain of U.S. civil procedure. It includes summaries of legal cases, specific questions, potential answers, and detailed explanations for why each solution is relevant, all sourced from a book aimed at law students. By comparing different methods, we aimed to understand how effectively they handle the complexities found in legal datasets. Our findings show how well the zero-shot method of large language models can understand complicated data. We achieved our highest F1 score of 64% in these experiments.
LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases
Tsinghua University（清华大学）；Peking University（北京大学）；University of Glasgow（格拉斯哥大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；Queen Mary University of London（伦敦玛丽女王大学）；Northeastern University（东北大学）
LEGO: Synergizing Expert GraphRAG and Expert Chain-of-Thought for Legal Reasoning
Alma AI, University of Bologna（博洛尼亚大学 Alma AI）；Tsinghua University（清华大学）；Modelbest Inc.（Modelbest 公司）；Xiamen University（厦门大学）；Shanghai Jiao Tong University（上海交通大学）
ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework
The Key Laboratory of Cognition and Decision Intelligence for Complex Systems（认知与复杂系统决策智能重点实验室）；Institute of Automation Chinese Academy of Sciences（中国科学院自动化研究所）；School of Artificial Intelligence University of Chinese Academy of Sciences（中国科学院大学人工智能学院）；Unisound Beijing China（北京Unisound）
NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning
VNU University of Engineering and Technology（越南国立工程技术大学）；Center for Juris-Informatics, ROIS-DS College of Engineering & Computer Science, VinUniversity（越南Vin大学工程与计算机科学学院法律信息学中心）
CVPD at QIAS 2026: RAG-Guided LLM Reasoning for Al-Mawarith Share Computation and Heir Allocation
ETIS (UMR 8051), CY Cergy Paris Univ., ENSEA, CNRS（ETIS（UMR 8051），CY塞尔吉巴黎大学，ENSEA，法国国家科学研究中心）；VSC Laboratory, Department of Electronics and Automation, University of Biskra（VSC实验室，电子与自动化系，比斯克拉大学）；Computer Engineering Dept, Sana'a Community College（计算机工程系，萨那社区学院）；CNR-ISASI "E. Caianiello"（意大利国家研究委员会-智能系统自动化研究所（ISASI）"E. Caianiello"）；Ikerbasque（伊克尔巴斯克）
Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinions
Nantes Université（南特大学）；École Centrale Nantes（南特中央理工学院）；CNRS（法国国家科学研究中心）；LS2N（南特数字科学实验室）；Peoples' Friendship University of Russia (RUDN University)（俄罗斯人民友谊大学（RUDN大学））；Joint Institute for Nuclear Research（联合核研究所）；Vrije Universiteit Amsterdam（阿姆斯特丹自由大学）；University of Skövde（舍夫德大学）
LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues
Faculty of Information Technology, Monash University, Australia（墨尔本大学信息技术学院，澳大利亚）；School of Information Technology, Monash University Malaysia（墨尔本大学马来西亚分校信息学院）；School of Business, Monash University Malaysia（墨尔本大学马来西亚分校商学院）；Faculty of Law, Monash University, Australia（墨尔本大学法学院，澳大利亚）
NyayaMind- A Framework for Transparent Legal Reasoning and Judgment Prediction in the Indian Legal System
IIT Kanpur, India（印度理工学院坎普尔分校）；IIT Kharagpur, India（印度理工学院克勒格布尔分校）；Symbiosis Law School Pune, India（印度共生法学院浦那分校）；Dattam Labs, India（印度Dattam实验室）；University of Birmingham, Dubai, United Arab Emirates（英国伯明翰大学迪拜校区）
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
Southern University of Science and Technology（南方科技大学）；Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences（深圳高性能数据挖掘重点实验室，深圳先进技术研究所，中国科学院）；SIAT-DELI AI and Law Joint Lab（SIAT-DELI人工智能与法律联合实验室）；Shenzhen MSU-BIT University（深圳MSU-BIT大学）；UNSW Sydney（新南威尔士大学悉尼分校）；SUAT（南方科技大学）
JBE-QA: Japanese Bar Exam QA Dataset for Assessing Legal Domain Knowledge
Institute of Science Tokyo, Japan（东京科学研究所，日本）；ROIS-DS, Center for Juris-informatics, Japan（司法信息中心，日本）；National Institute of Informatics, Japan（日本信息机构）；University of Tokyo, Japan（东京大学，日本）
Automatic Construction of a Legal Citation Graph from 100 Million Ukrainian Court Decisions: Large-Scale Extraction, Topological Analysis, and Ontology-Driven Clustering
Wangxuan Institute of Computer Technology, Peking University（北京大学王选计算机研究所）；School of Software & Microelectronics, Peking University（北京大学软件与微电子学院）；Peking University Law School Institute for Artificial Intelligence, Peking University（北京大学法学院人工智能研究院）；The MOE Key Laboratory of Computational Linguistics, Peking University（北京大学计算语言学教育部重点实验室）；School of Intelligence Science and Technology, Peking University（北京大学智能学院）
