Legal Insights: Document Summarization and Risk Analyzing Assistant

Abstract

Even non-experts are not always able to comprehend legal texts like contracts, agreements and notices due to the fact that they are in other times lengthy, complex and highly technical. Manual review of such texts is the obstacle to their access and scalability as it is time consuming, error prone and in most cases, because it is manual, is reliant upon its manuality. In order to automate the intake process, legal documents intake, interpretation, and simplification process, the paper presents the design and implementation of a Legal Document Summarization and Risk Analysis System, which is an AI based system. The suggested system is a rule-based risk detector to detect large clauses, obligations and potential legal issues and an optical character recognition (OCR) to read documents on scans and natural language processing (NLP) to discover plain-language summaries.The architecture focuses on practicalities of deployment, understandability and modularity, rather than theoretical innovation, such that users can know the legal implications of major consequences without necessarily having to research that aspect of the law on a regular basis.