
Elevate your patent licensing workflows with LLMs
PatDigger LLM is an AI patent portfolio analysis solution from XLSCOUT that uses the proprietary ParaRANK algorithm, large language models, and generative AI to analyze large patent portfolios, identify top patents for licensing, and generate detailed claim charts. It serves IP teams and patent owners seeking licensing opportunities.
Product
PatDigger LLM
Use cases
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The tool accepts up to 100 patent numbers at a time and a target company with optional product details, then returns a ranked list of top patents with on-demand claim charts. It maps overlapping product features to relevant patent claims across portfolios and supports annual portfolio scans to surface high-value assets. XLSCOUT claims up to 60% accuracy in identifying licensing opportunities and up to 60% time savings. Coverage spans 170M+ patents from 100+ countries, 220M+ non-patent literature records, and 106+ jurisdictions.
What it does
Up to 60% accuracy in identifying top licensing opportunities.
Analyzes hundreds of patents in a single run.
Maps product features to relevant patent claims across portfolios.
Pinpoints the most valuable patents in a portfolio.
Annual scans to consistently surface top-value patents.
Generates detailed AI claim charts on demand.
Case studies
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Trust & compliance
Security certifications
Named enterprise customers
Pricing details
Starting price
Pricing model
Free version
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Product interface
PatDigger LLM Interface
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FAQs
Users input up to 100 patent numbers and a target company name with optional target products. The tool analyzes the portfolio, maps overlapping product features to patent claims, and produces a ranked report of top patents with on-demand claim charts.
It accesses 170M+ patents from 100+ countries, 220M+ non-patent literature bibliographic records, and 106+ jurisdictions, enabling broad portfolio and prior-art context for licensing analysis.
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