LEXOPTIMA: THE PROMISE OF AI-ENABLED LEGAL SYSTEMS

Emerging technological developments, such as advancements in machine learning, natural language processing, predictive analytics, and new and emerging methods in artificial intelligence (AI), are poised to significantly transform legal systems. These technologies are already enhancing the predictability of litigation outcomes and beginning to automate aspects of legal research and adjudication processes. Current legal systems, hozoever, are not ready to leverage these developments optimally and to distribute their benefits equitably. This article critically examines the potential for a new Al-enabled legal model, which we call LexOplima. LexOptima is characterized lyy its use of decentralized, community-driven data and algorithms to generate – in real time – context-aware law and personalized legal services. LexOptima has the potential to radically improve access to justice, reduce bias in legal processes, empower communities to play a greater role in the creation and development of law and policy, and increase efficiency in legal institutions. However, the transition to such a model also faces significant challenges, including issues of data privacy, resistance by incumbent interests, algorithmic transparency, and the need for robust human oversight. Drawing upon an interdisciplinary analysis of relevant literature and technological trends, we provide a conceptual framework for LexOptima and explore its potential benefits and limitations. We conclude by proposing key considerations and next steps for a dynamic, human-centred approach to legal system transformation that optimally and inclusively leverages the strengths of humans and Al-enabled technologies. © UNIVERSITY OF TORONTO PRESS.