The startup aspires to be a platform that makes legal research sharper, faster and simpler, with features that help in reducing the time required for reading and understanding judgments
Law, by its very nature, is descriptive and data-centric. The legislature is built on the bedrock of law books, legal journals and reports, and judgments that call for a deep investigation on part of the judges, lawyers, students, and other stakeholders involved.
While there isn’t a shortcut for case law analysis, Legitquest, a legal research portal, is being built as a platform to make legal research sharper, faster and simpler.
Using artificial intelligence (AI), it is creating an online database and search features—like iDRAF and iGraphics—that segregate issues, reasoning, decisions, arguments, and facts of all the judgments passed by the Supreme Court and the High Courts of India since 1950. These features help in reducing the time required for reading and understanding a judgment. As per the company’s analysis, Legitquest users save roughly up to 40 percent of their time in legal research.
The five-year-old startup is tapping into the rather-less-explored segment of legal technology in India, and creating a 360-degree solution by way of building a litigation score software to address all the legal requirements by corporates. “The LIBIL score of litigation score will be just like the Cibil score and will help lawyers and corporates with due diligence and verification,†says Kalia, adding that the idea is to provide valuable insights to the otherwise underserved and exposed finance, insurance, real estate and recruitment businesses worldwide. This would be an addition to its features in the ZAIAN, which is a real-time analyser of case law with the use of AI.
Kalia started the research for Legitquest in 2016 and by 2017 got Himanshu Puri and Rohit Shukla with management and technology expertise on board. The trio co-founded this platform that browses millions of legal records and gets the most relevant results within seconds with the use of natural language processing and deep learning.