Overview
A USA headquartered corporation which is a global leader in industrial technologies with an active patent portfolio of over 10,000+ assets spread across multiple technology areas and applications spectrum.
Challenges and Objectives
Challenges
- Varied patents may read onto a multitude of companies.
- A large number of patents takes significant time to analyze.
- Identifying accurate product documentation is difficult.
Objectives
- Identify the relevant target companies
- Identify the best patents for licensing
- Create claim charts for best mappings
Problem Statement
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Analyze the patent portfolio using AI
Analyze a portfolio of 1000+ patents to identify the best potentials for monetization.
Identify Potential Infringers
Identify companies and their products that patents could map to, from a pool of over 100k relevant products.
Analyze the patent portfolio using AI
Prepare claim charts against best matches using AI and validate them with relevant subject matter experts.
Solution: AI + Human Expertise
Categorizations of Patents | Identification of Targets | Analysis of Patents | Human Validation of AI Output |
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Portfolio Assessment
The entire portfolio was analyzed on Patdigger LLM module of XLSCOUT
Patdigger LLM uses advanced AI technologies to accurately identify the products of target companies that each of the patents could map on to and provides a numerical score of which products are the best matches against each patent.
Our team of subject matter experts reviewed the AI generated charts in detail to validate the findings and augment the charts manually.
Impact & Results
1000+ patents analyzed cost effectively
Analysis and recommendations completed within 3 weeks
Client received numerical data driven actionable insights
The client could enter into new license negotiations quickly.
Conclusion
To sustain and scale the value delivered, the following strategic steps are being continued post-engagement:
- Deploying AI agents to continuously track new product launches by key targets and automatically map them against the client’s patents.
- AI agents to consider partially mapped claims and suggest claim modifications supported by patent specifications to get a better read on the products.
- Analyzing the next set of hundreds of patents to identify new monetization opportunities.
