A framework is proposed that seeks to identify and establish a set of robust autonomous levels articulating the realm of Artificial Intelligence and Legal Reasoning (AILR). Doing so provides a sound and parsimonious basis for being able to assess progress in the application of AI to the law, and can be utilized by scholars in academic pursuits of AI legal reasoning, along with being used by law practitioners and legal professionals in gauging how advances in AI are aiding the practice of law and the realization of aspirational versus achieved results. A set of seven levels of autonomy for AI and Legal Reasoning are meticulously proffered and mindfully discussed.
The AI Legal Specialist: A Juridically Autonomous Professional Profile for AI Governance
Studio Legale Fabiano, Italy（意大利法务工作室Fabiano）；Independent Researcher on Artificial Intelligence, Data Protection, and Privacy（人工智能、数据保护与隐私独立研究员）；Expert in the EDPB’s Support Pool of Experts — Field B: Legal Expertise in New Technologies（欧洲数据保护委员会（EDPB）专家支持池——领域B：新技术法律专长）；Member, IEEE SA P7007 Working Group on Ontological Standards for Ethically Driven Robotics（IEEE SA P7007工作组成员：伦理驱动机器人学的本体标准）；Member, Editorial Advisory Board, Journal of Systemics, Cybernetics and Informatics (JSCI)（《系统学、控制论与信息学杂志》（JSCI）编辑顾问委员会成员）；Member, International Institute of Informatics and Systemics (IIIS)（国际信息与系统学研究院（IIIS）成员）；Member, International Neural Network Society (INNS)（国际神经网络学会（INNS）成员）；Member, United Nations University AI Network (UNU AI Network)（联合国大学人工智能网络（UNU AI Network）成员）
LLM Agents in Law: Taxonomy, Applications, and Challenges
Carnegie Mellon University（卡内基梅隆大学）；National University of Singapore（国立新加坡大学）；Stanford University（斯坦福大学）；University of Washington（华盛顿大学）；The University of Chicago（芝加哥大学）；Rutgers University（罗格斯大学）；Columbia University（哥伦比亚大学）；New Jersey Institute of Technology（新泽西理工学院）
Development of management systems using artificial intelligence systems and machine learning methods for boards of directors (preprint, unofficial translation)
Moscow Institute of Physics and Technology（莫斯科物理技术学院）
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
Stanford University（斯坦福大学）；University of Michigan（密歇根大学）；University of Washington（华盛顿大学）；University of Southern California（南加州大学）；Northwestern Pritzker School of Law（西北大学普利兹克法学院）；SimPPL
Advancing Legal Reasoning: The Integration of AI to Navigate Complexities and Biases in Global Jurisprudence with Semi-Automated Arbitration Processes (SAAPs)
Towards Lawful Autonomous Driving: Deriving Scenario-Aware Driving Requirements from Traffic Laws and Regulations
College of Transportation, Tongji University（同济大学交通运输学院）；The Key Laboratory of Road and Traffic Engineering, Ministry of Education（教育部道路与交通工程重点实验室）；School of Vehicle and Mobility, Tsinghua University（清华大学车辆与移动性学院）；College of Computer Science, University of Central Florida（佛罗里达中央大学计算机科学学院）；Optixway AI
