MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000745 A) filed by Ct University, Ludhiana, Punjab, on Jan. 5, for 'artificial intelligence based system for identification and classification of patent lawsuits.'
Inventor(s) include Pradip Kumar Yadava; Dr. Simranjit Kaur; Dr. Shiv Kumar; and Dr. Anurag Sharma.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention is an artificial intelligence-based system and method for automatically identifying, categorizing, and analyzing patent litigation across jurisdictions and technological domains. The system uses natural language processing to identify patent-related issues and parties involved after ingesting both structured and unstructured legal data from courts, patent offices, legal libraries, and news sources. While an analytics engine determines litigation trends and risk indicators, machine learning models categorize lawsuits based on legal reasons, technology domain, geography, procedural stage, and results. An optional prediction module uses historical precedents to forecast likely outcomes of ongoing cases. Search, comparison, and reporting are made possible via a visual dashboard, and connection with patent databases links litigation to granted or pending patents, assisting with risk assessment, policy analysis, and legal strategy."
Disclaimer: Curated by HT Syndication.
