Analysing Effectiveness of Artificial Intelligence on Indian Judicial System

Artificial intelligence technology has been widely used in the legal system in recent years. Compared to human judges, artificial intelligence is more unbiased, competent, and efficient when used for judicial purposes. Mostly relying on huge data, algorithms, and processing power instead of natural intelligence, it has drawbacks. Artificial intelligence in the judiciary cannot fully replace human judges due to disparities in theoretical framework, application circumstances, and potential and ability. Declaring unequivocally that human judges will always be replaced by judicial artificial intelligence is essential. Investigating legal concerns and the several ways AI affects the judicial system is the goal of the study. Predicting a legal system's conclusion became feasible with the advent of artificial intelligence and related technologies. This study's objective is to provide the most precise legal case prediction possible. Furthermore, because of advances in machine learning (ML), natural language processing (NLP), and processing capacity, these data offer significant opportunities to employ machine-learning models to evaluate and improve judicial systems. DT achieved the lowest accuracy percentage, while KNN achieved the best at 72%.