AI BASED LEGAL SIMPLIFICATION AND CASE OUTCOME PREDICTION

Abstract: It's challenging for many people to understand the complexity of legal documents and legal process. Furthermore, most people do not know what type of legal knowledge they need to better understand legal policies, to forecast the outcome of a case, or to find a legal expert. This project is designed to develop an Artificial Intelligence (AI)- Powered Legal Document Simplifier and Legal Case Outcome Predictor. This project will assist people in understanding the legal document(s) related to their case and the potential outcome of the case.

The project will consist of three major parts. The first part will be the Legal Document Simplifier; using Natural Language Processing (NLP), this component will assist in simplifying legal documents. The second part will be the Case Outcome Predictor; utilizing machine learning algorithms (such as InLegalBERT) to provide a prediction of the outcome of a case (i.e., if the case will be approved or denied); and the rationale supporting the outcome. The final part will be the Lawyer Management System; through which individuals may submit their case data, and connect with a lawyer. This project will utilize AI, NLP, and web development technologies to develop a user-friendly interface that will enable the general public to better understand legal documents.

Keywords: Legal Document Simplification, Case Outcome Prediction, Natural Language Processing, InLegalBERT, Lawyer Management System.