Introduction
Patent licensing is a critical lever for monetizing intellectual property, yet inefficiencies often hinder the process. Identifying relevant products, preparing evidence of use (EoU) charts, and packaging assets for licensing discussions traditionally requires extensive manual work, slowing down go-to-market readiness and increasing costs. One global technology company recognized the need for a more structured, efficient approach to licensing. By collaborating with Evalueserve, a trusted partner in IP and R&D, the company adopted an AI-assisted patent licensing workflow that streamlined patent-to-product matching, improved EoU preparation, and accelerated the delivery of licensing packages—without compromising quality.
Diagnose: Friction in the Traditional Licensing Process
The client's licensing program faced persistent hurdles that limited efficiency and scalability:
- Product identification was slow and fragmented. Analysts manually reviewed product documentation across multiple sources, which made it cumbersome and likely to miss relevant matches.
- EoU preparation was highly time-consuming. Drafting claim charts demanded detailed manual effort, leaving little room for rapid scaling.
- Review cycles created bottlenecks. Every chart required manual verification, extending turnaround times.
- Go-to-market execution was delayed. Building licensing packages and preparing strategy materials took weeks, slowing discussions with potential licensees.
Without a repeatable framework, the organization risked underutilizing its patent portfolio and missing timely licensing opportunities. This is where AI-assisted patent licensing can provide scale and speed.
Design: An AI-Assisted Patent Licensing Framework
Evalueserve developed a hybrid approach where AI handled discovery and structuring tasks, while human experts ensured accuracy, legal robustness, and strategic alignment. This AI-augmented framework not only improved efficiency but also enhanced the quality and speed of the entire licensing process.
AI-Assisted Product Search
- Leveraged AI tools to scan product databases, technical documents, and public disclosures, ensuring comprehensiveness with agility
- Identified potential product mapping on patent claims with greater speed and breadth.
Patent Analysis and EoU Preparation
- AI highlighted relevant claim elements and automatically populated preliminary EoU charts.
- Analysts refined and validated the outputs, ensuring legal defensibility.
Manual Review and Validation
- Human experts conducted detailed chart reviews, adding qualitative insights and confirming accuracy.
- This step preserved the depth required for negotiations while reducing redundant manual effort.
Licensing Packages and Go-to-Market Strategy
- AI and manual inputs were combined to prepare structured licensing packages.
- Analysts and strategists tailored the final outputs into client-ready market strategies, enabling more persuasive licensing conversations.
Deploy: A Scalable Future with AI-Assisted Patent Licensing
By embedding AI into the workflow, the client achieved measurable improvements:
- Faster product discovery through AI-assisted scanning of product documentation.
- Accelerated EoU preparation with automated first drafts, reducing manual workload.
- Shorter review cycles thanks to AI-guided charting that improved initial accuracy.
- Quicker time-to-market for licensing packages, enabling earlier engagement with potential licensees.
The combined approach balanced efficiency and precision, allowing the client to scale licensing opportunities without increasing headcount.
Impact: Unlocking Monetization Potential
With the AI-assisted workflow, the organization was able to:
- Expand the scope of its licensing program without proportional cost increases.
- Improve negotiation readiness with accurate, high-quality EoU charts.
- Reduce turnaround time from product identification to licensing package delivery.
- Establish a replicable, future-ready methodology for AI-assisted patent licensing, adaptable across technology domains.
