LegalAsst: Human-centered and AI-empowered machine to enhance court productivity and legal assistance

We propose autonomous software (namely, LegalAsst ) as a step toward an AI-empowered but human-centered machine focused on enhancing court productivity and legal assistance. LegalAsst aims to provide explainable, traceable, and controllable legal assistance and references for lawyers, judges, government officials, and the general public. To achieve this goal, it collates, processes, distills, and visualizes the whole judgment procedure. It streamlines and semi-automates the judgment procedure through case analysis, legislation analysis, and judicial decision-making. Specifically, to make laws and cases easier to navigate and understand, we incorporate structured representations to perform them. Then based on structured representations, we take a step further by introducing a decision-tree-based judgment, making the entire judging process visible and tractable. Our system not only tracks the procedural aspects of judgments but also incorporates modification capabilities, enabling the consideration of the most up-to-date legislation and societal factors to generate more adaptable judgment outcomes.1 •Interpretable and Interactive Visualization.•Modular and Scalable System's Design.•Traceable and Quantifiable Legislation Analysis.•Human-Centered Judicial Decision.