Legal Case Outcome Predictor Using AI

• Author(s): G Balasubramanyam ; V Manohar Goud ; K Sumanth
• Paper ID: 1708749
• Page: 2392-2394
• Published Date: 03-07-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 8 Issue 11 May-2025

Abstract

The current judicial system is mostly dependent on man power and there is no automation introduced into the indian judicial system which may help in automating and predicting the legal outcomes of multiple cases according to the given conditions. To resolve these concerns , we developed an AI based Judicial Case Outcome Predictor which uses artificial and convolutional neural networks where inputs of information related to the case is updated into the system which analyses the particular law case and provides with the right outcome of the case and predicts whether it is a bailable or non bailable case. The system is built as a web application where access is restricted to everyone and only a few can access the system and use it in a legal and safe way. This system is our solution towards reducing a lot of human effort and making AI work for you in the judicial sector. We perform a performance analysis test and our system predicts the outcome of the case with around 70% accuracy and can cut down time for analysis of case by 60 percent.

Keywords

AI based judicial case outcome predictor, Artificial Neural Networks, Convolutional Neural Networks. Judicial System

Citations

IRE Journals:
G Balasubramanyam , V Manohar Goud , K Sumanth "Legal Case Outcome Predictor Using AI" Iconic Research And Engineering Journals Volume 8 Issue 11 2025 Page 2392-2394

IEEE:
G Balasubramanyam , V Manohar Goud , K Sumanth "Legal Case Outcome Predictor Using AI" Iconic Research And Engineering Journals, 8(11)