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An Ontological AI-and-Law Framework for the Autonomous Levels of AI Legal Reasoning

2020/08/04 by Lance B. Eliot, Eliot, Lance
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computers and Society (cs.CY) #FOS: Computer and information sciences #I.2.0 #J.7.0 #K.5.9 #Law, AI, and Intellectual Property #Law, Economics, and Judicial Systems #Multi-Agent Systems and Negotiation

paper · pdf · doi:10.48550/arxiv.2008.07328

openalex publication_date 2020/08/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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