Court Cases Priorities and Timeline: Analysis and Prediction

Abstract

Judicial systems globally, especially in countries like India, face overwhelming backlogs, this delay in case resolution hinders timely justice. Our project, Court Case Priorities and Timeline: Analysis and Prediction, addresses this challenge by leveraging Artificial Intelligence (AI) and Machine Learning (ML) to predict case timelines and prioritize cases based on urgency and complexity. This research analyzes historical case data to identify factors influencing delays, such as case type and legal precedence, using machine learning algorithms like Random Forest and Decision Trees to predict case timelines. An automated scoring system assesses case complexity and recommends priority handling, with findings highlighting that criminal cases often require longer timelines, while civil cases show variability due to multiple hearings. The proposed AI-driven case flow management system automates clerical tasks, optimizes resource allocation, and enhances case tracking, aiming to improve judicial workflows and ensure timely justice delivery.