White paper
Close the confidence gap
in patent search
Artificial intelligence (AI) is changing the way patent professionals search – not by replacing expertise, but by helping it scale more effectively. When you are triaging 100+ disclosures a month, reviewing design iterations and clearing global jurisdictions, speed without precision is a liability.
This white paper explores how patent professionals are scaling search capacity without compromising quality. It looks at how AI search trained on expert-authored summaries can complement Boolean tools to support defensible decisions.
Why download the white paper?
- Boolean vs. AI patent search
Understand the strengths and limitations of each — and how to combine them effectively. - Scaling search capacity
Learn how teams are using AI to screen more invention disclosures, faster — without compromising review quality or missing critical risks. - Reducing false positives
Understand how context-aware AI models trained on expert-authored patent summaries reduce noise and surface what matters. - Embedding explainability
Explore how relevance fragments and structured invention summaries help analysts assess novelty, use and advantage at speed. - Building defensible outcomes
Discover how enriched patent data and integrated litigation insights support confident decisions across freedom-to-operation (FTO), invalidity and patentability workflows.
