An Ontological AI-and-Law Framework for the Autonomous Levels of AI Legal Reasoning
This work addresses the need for structured assessment of AI in legal reasoning for academics and legal professionals, but it is incremental as it builds on existing concepts without introducing new methods or data.
The authors proposed a framework with seven levels of autonomy to assess AI's application in legal reasoning, aiming to provide a basis for evaluating progress and aiding scholars and practitioners in understanding AI's role in law.
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.