PatDigger LLM is an AI-powered patent portfolio analysis tool developed by XLSCOUT to enhance patent licensing workflows. By integrating XLSCOUT's proprietary ParaRANK algorithm with advanced Large Language Models (LLMs) and Generative AI, it automates the analysis of extensive patent portfolios, identifies high-value patents for licensing, and generates detailed claim charts. 

PatDigger LLM is designed to efficiently analyze large patent portfolios, identifying the most valuable assets for licensing and monetization. It can process hundreds of patents simultaneously, mapping overlapping product features to relevant patent claims to provide a clear understanding of potential infringements and licensing opportunities. By conducting regular scans, the tool ensures that high-value patents are consistently identified, allowing organizations to maintain an optimized and effective portfolio. Additionally, it pinpoints patents with the highest licensing potential, ensuring that resources are focused on the most profitable assets.

Beyond identifying high-value patents, PatDigger LLM uncovers overlooked assets that may have significant market relevance, transforming them into valuable opportunities. The tool operates through a simple three-step process: users input up to 100 patent numbers for analysis, specify target companies and products for examination, and receive a detailed report featuring a ranked list of top patents along with on-demand claim charts. This automated approach streamlines patent portfolio management, helping businesses maximize their intellectual property investments.