AI-Powered Legal Prediction System for Real-Time Legal Advisory and Case Outcome Forecasting

Abstract

Currently, the legal industry cannot offer basic legal advisory services promptly, inexpensively, and commercially to those that are woefully uninformed and unable to afford it. In addition, it is also difficult for legal professionals to determine any grade of case viability on the grounds of complexities involved in legal precedents and constantly mutating jurisprudence. This research provides an alternative to the above problems it develops an AI molecule called an AI Powered Legal Prediction System (LPS), an artificial intelligence based system using Machine Learning and Natural Language Processing (NLP) for analyzing the historical case data and predicting real time legal outcome. To ensure such Transparency from the predictions of the system, the XAI is integrated into the system so people get preliminary legal insights and lawyers are able to base their data driven decisions. The LPS is a real time legal advisory chatbot which determines if a case is viable and if there are any legal references that explains same. Furthermore, this technology is also used to assure the security of legal evidence through blockchain; the fingerprint that cannot be tampered with, and authentication. However, in addition to that, the system also relies on federated learning, which implies that we can have several legal institutions who train the model, while preserving data privacy. LPS aims to democratize legal assistance, increases legal efficiency, and brings accuracy of decisions to alleviate legal proceedings uncertainty and strengthen trust in using AI to provide legal technology. If the above mentioned proposed solution was made possible, it would change the legal world and therefore, make legal advisory services more efficient, transparent, and accessible.