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

TL;DR

This paper introduces a structured framework with seven levels of autonomy for AI in legal reasoning, aiming to evaluate progress and guide both academic research and practical applications in AI-driven law.

Contribution

It proposes a novel ontological framework defining seven autonomous levels of AI in legal reasoning, facilitating assessment and comparison of AI advancements in law.

Findings

Seven levels of AI autonomy in legal reasoning are defined and discussed.

The framework provides a basis for evaluating AI progress in legal applications.

It offers practical guidance for scholars and practitioners in AI and law.

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.