An Effective Search Algorithm for Analyzing and Extracting Indian Legal Judgments using NER and Document Summarization
Varsha Naik, Rajeswari Kannan, Sanket Agarwal, Aryan Sable, Himanshu Chaudhari · 2023
With the ever-growing population, the number of legal offenses is also increasing yearly. Going through all the legal documentation can be a very exhausting and time demanding process. Today, NLP (Natural Language Processing) is quite capable of processing documents and extracting key information. Owing to daily advancements in technology it's the perfect time to couple data analytic tools with historical data and create a search algorithm. The searching algorithm can discover an analogous historical case to the one we're working on and give the user access to all the similar legal cases. In this project, the primary attempt is to leverage Knowledge graph and NLP (Natural Language Processing) to construct a legal search algorithm that assists in searching it across a big data corpus created using multiple sources.This study aims to design a semantic search model for the legal domain to facilitate searching of similar judgments by leveraging the power of knowledge graph. Designing a legal system is a very nation-specific task to be carried out because legal terminology shows great variations when it comes to judgment and other legal documents. This study is supposed to produce a smart enough search mechanism that can find similar cases and assist in the faster proceeding of the trial.