Hybrid Lawyer Recommendation System Based on AGE-MOEA

Abstract

The lawyer serves as the primary liaison between the Plaintiff and Appellant, resolving their court-related issues. For many years, society did not have access to lawyers. They face considerable difficulty in locating an appropriate counsel for their case, and at a hefty expense. Frequently, individuals are duped by attorneys and charged exorbitantly expensive fees, as lawyers profit handsomely from each case. The (LEGAL-EASE) was created to assist individuals dealing with legal challenges by providing simple and optimum answers to their situations. It features a user panel and a lawyer panel, where both parties may engage securely, and the primary component of this framework is the lawyer recommendation system, which will utilize content-based and collaborative-filtering with a multi optimizing algorithm AGE-MOEA (Adaptive Geometry Estimation based Multi Optimization Estimation Algorithm), A Pareto interface format for calculating the result that replaces crowding distance to assist consumers in simply locating the best and optimal lawyer. It will help the government by contributing towards court case management and will help courts to boom digitally.