Introducing Deep Research in ClaimChart LLM: Find More Relevant Products, Faster

Introduction

Generating a claim chart often begins with a single accused product. But identifying additional products that may practice the same patented invention usually requires extensive manual research.

This means switching between search engines, company websites, product catalogs, and technical documentation—making the process slower and increasing the chances of missing relevant evidence.

That’s why we’ve introduced Deep Research in ClaimChart LLM.

Unlike conventional AI tools that often stop after identifying the most obvious products, Deep Research acts as an AI research agent that continuously expands the investigation beyond the initial results. It uncovers additional products that may practice the patented invention, helping IP teams build more comprehensive Evidence of Use and strengthen licensing and monetization strategies—all within ClaimChart LLM.

Choose Your Target Products

Start by selecting the products you want to analyze. Users can choose from AI-recommended companies and products or add their own target companies and products for investigation.

This flexible approach helps teams quickly define the starting point of their analysis while reducing manual effort. From there, Deep Research continues exploring beyond the selected products to uncover additional potential infringement opportunities.

Enable Deep Research in a Single Click

Deep Research can be enabled directly within ClaimChart LLM.

Once activated, Deep Research functions as an AI research agent, continuously expanding the investigation beyond the initial products to discover additional products that may contain similar patented functionality.

Instead of stopping after the first set of likely matches, it keeps exploring additional evidence and products that conventional AI workflows may overlook. This broader search helps uncover more Evidence of Use opportunities with minimal additional effort.

Keep Every Research Run Organized

As additional products are analyzed, ClaimChart LLM automatically records the research activity.

Users can quickly review:

• Products identified
• Mapping summaries
• Search type
• Selected claims

This provides complete transparency into every Deep Research session, allowing users to easily revisit analyses, compare discoveries, and review the additional products identified as the AI agent continues expanding its research.

Also New: Prioritize the Most Relevant Results

In addition to Deep Research, this release also includes several enhancements to Patdigger that make reviewing and prioritizing results even more efficient.

Alongside the Deep Research release, Patdigger now introduces Likelihood Indicators that classify products as High, Medium, or Low likelihood.

This helps teams prioritize the strongest matches first while still retaining access to additional candidates for broader investigation.

Explore Beyond the Highest Matches

Not every useful result appears at the top.

Low-likelihood products remain available through the Show More option, allowing users to expand their analysis whenever deeper investigation is required.

This provides a better balance between efficiency and comprehensive research.

Also New: Richer Portfolio Analytics

The latest Patdigger update also introduces enhanced analytics to help visualize research outcomes more effectively.

Updated dashboards now provide richer insights into publication frequency, company relationships, and product distribution, making it easier to understand the broader infringement landscape.

Why Deep Research Matters

• Continuously uncover potentially infringing products beyond the initial AI results
• Expand Evidence of Use for broader licensing opportunities
• Reduce repetitive manual product research
• Prioritize the strongest infringement opportunities faster
• Generate more comprehensive claim charts

Whether you’re evaluating licensing opportunities, investigating infringement, or building stronger patent intelligence workflows, Deep Research continuously uncovers additional potentially infringing products—helping you build a broader foundation for out-licensing strategies without adding complexity.

Conclusion

Deep Research transforms infringement analysis from a one-time search into an AI-driven continuous discovery process. By looking beyond the initial products surfaced by conventional AI, it uncovers additional potentially infringing products, helping IP teams build more comprehensive claim charts and stronger Evidence of Use for licensing and monetization strategies.

Combined with the latest Patdigger enhancements, ClaimChart LLM delivers a faster, more comprehensive workflow for AI-assisted patent analysis.

Explore Deep Research in ClaimChart LLM today and experience a smarter approach to continuous AI-powered product discovery and claim chart generation.