How to Generate SEP Claim Charts with Solve Intelligence: A Practical Guide

SEP claim charting can be a bottleneck in patent licensing and portfolio management: too time-consuming and expensive to perform rigorously at scale, yet too important to skip. Solve Intelligence is changing this equation, allowing practitioners to generate high-quality claim charts in minutes rather than hours, while surfacing insights that might otherwise be missed.

How to Generate SEP Claim Charts with Solve Intelligence: A Practical Guide

Why Standards Matter

Modern technology runs on standards. From 5G cellular networks to Wi-Fi connectivity and Bluetooth pairing, industry standards ensure that devices from different manufacturers can communicate seamlessly. When a patented invention is essential to implementing one of these standards (meaning you cannot comply with the standard without using the patented technology), that patent becomes a Standard Essential Patent (SEP).

SEPs sit at a unique intersection of intellectual property law and industry collaboration. Patent holders who contribute technology to a standard typically commit to licensing their SEPs on Fair, Reasonable, and Non-Discriminatory (FRAND) terms. This ensures that standardized technology remains accessible while inventors are fairly compensated.

But how do you prove that a patent is actually essential to a standard? With a claim chart.

A claim chart is a document that maps each element of a patent claim to corresponding portions of a standard, demonstrating that practicing the standard necessarily infringes the patent. These charts are critical for SEP licensing negotiations, FRAND rate determinations, and patent litigation.

Why SEP Claim Charting Is Difficult

Creating high-quality SEP claim charts is not an easy task. Here's why:

Massive Technical Standards

Technical standards documents are enormous. A single 5G specification can span thousands of pages of dense technical language across multiple releases and versions. Determining which parts of a standard are relevant to each claim element without a priori knowledge can be extremely difficult.

Claims Change During Prosecution

Patent claims (and technical standards) often evolve during prosecution. Amendments made to the claims during prosecution can strengthen or weaken the mapping between the standards and the claims. Practitioners must “thread the needle” to obtain claims that read on the standards and distinguish from the prior art (which includes previous releases of the standards). 

Uncertainty About Adoption

Standards evolve through lengthy deliberation processes. Proposals from industry representatives are often rejected or modified before they are incorporated into a standard. Companies that file patent applications on their proposals face uncertainty about which aspects will be adopted, and how those aspects will be reflected in the standard. For that reason, it is important to draft claims 

The Essentiality Gap

According to a 2021 study, only 8% of patent families declared as essential to Fifth Generation (5G) wireless standards are in fact essential to those standards. The vast majority of self-declared SEPs listed in databases such as the European Telecommunications Standards Institute (ETSI) Intellectual Property Rights (IPR) have not been thoroughly charted, and the majority of Standard Development Organizations (SDOs) do not conduct an analysis to verify whether declared patents are essential or not. 

Cost and Time Constraints

Claim charting can be prohibitively expensive. A proper analysis of a single claim requires a skilled practitioner to spend multiple hours (at a minimum) to confirm whether the claim reads on a particular standard. For portfolios with hundreds or thousands of patents, manually charting every patent is economically unfeasible.

Building SEP Claim Charts with AI

We recently launched Charts to address these challenges and accelerate the claim charting process. With Charts, you can analyze patent claims, find relevant standards, and generate accurate claim charts in a fraction of the time. Here’s a walkthrough of how to build a SEP claim chart from start to finish using Charts:  

Step 1: Create Your Project

Start by creating a new chart project in Solve. The project will have two inputs:

  • Your patent: Upload the patent or application you want to map, or enter the publication number and automatically import the document from our database of patent literature. Solve will automatically parse the claims and identify individual claim elements.
  • The standards: Select or upload the relevant standards that you want to compare the claims against.

To streamline the project creation process, you can start from one of our default SEP claim chart templates, which include copies of the most popular standards:

Step 2: Choose Your Columns

Choose which columns you want to include in the chart. By default, our SEP chart templates include the following columns:

  • Claim Language: Verbatim features extracted from the claims of the patent or application you are reviewing 
  • Standard Passages: Literal quotes extracted from relevant parts of the standards in your project   
  • Claim Analysis: A detailed explanation of how the claim language relates to the relevant standard passages
  • Read Strength: An objective assessment of the mapping between the claims and the standards  

Each column has an associated instruction, which you can view or modify by clicking on the column heading. You can further customize the chart layout by removing, reordering, or adding columns to the chart:

Step 3: Run the Chart

You can either run all columns at once, or iteratively generate and refine one column at a time. For projects with multiple charts, you can run multiple charts in parallel. By default, the AI will extract all independent claims from the target patent or application, split each claim up, and color code each claim feature to show the mapping between the claim language and the standard passages:  

Step 4: Refine the Mapping

You can make changes to the chart yourself, or use the Chat interface to quickly update the format or content of the chart:  

Once finalized, you can export the claim chart in your preferred format.

The Advantages of AI-Driven Claim Charting

Finding Hidden Connections

AI excels at processing massive volumes of text and identifying connections between documents. Technical standards use varied terminology; what a patent refers to as a "downlink resource" might be described as a "CORESET" or "PDCCH" in the standard. With Solve Intelligence, you can use AI to scan through thousands of pages of standards documentation in minutes, surfacing relevant passages that a human reviewer might overlook or never find given time constraints.

Identifying Weak Points

Our AI can highlight weak areas in the mapping and suggest alternative language to improve the standards read. This allows practitioners to:

  • Prioritize claims and patents with the strongest reads
  • Confirm that prosecution strategies align with standard developments 
  • Identify opportunities for continuation applications
  • Ensure that claim terminology is consistent with the relevant standards

Providing Greater Transparency

Within each column of the chart, you can enable clickable citations that take you directly to the relevant part of the cited document. This allows you to quickly verify that standard passages and claim limitations have been accurately extracted: 

Conclusion

SEP claim charting can be a bottleneck in patent licensing and portfolio management: too time-consuming and expensive to perform rigorously at scale, yet too important to skip. Solve Intelligence is changing this equation, allowing practitioners to generate high-quality claim charts in minutes rather than hours, while surfacing insights that might otherwise be missed.

Whether you're building a SEP portfolio, preparing for licensing negotiations, or assessing essentiality for litigation, AI-powered claim charting provides a force multiplier for patent professionals: deeper insights, faster turnaround, and more comprehensive analysis than manual approaches alone can deliver.

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Marbury Law sees 3x-4x efficiency gain from using Solve Intelligence

Key Insights

  • AI adoption requires proof. Bob and his team tested multiple tools before committing, and only moved forward once they saw quantifiable results.
  • 3 to 4x efficiency gains changed the business case. By tracking his own drafting time, Bob demonstrated that AI-enabled workflows made fixed-fee work viable at partner rates.
  • Demonstration drives adoption. Live drafting sessions, client transparency, and side-by-side cost comparisons created full buy-in from both clients and colleagues.
  • Integrated chat removes friction. Keeping research, drafting, and revisions inside one contextual workspace eliminated copy-paste workflows and saved significant time.
  • Context is a force multiplier. AI performs best when it understands the full invention disclosure, file history, and drafting materials in one place.
  • Speed expands strategic value. Faster drafting didn’t just save time - it enabled better coverage, stronger enablement, and real-time responsiveness to client needs.

About Marbury Law

The Marbury Law Group is a premier mid-size, full-service intellectual property and technology law firm in the Washington, D.C. area, with additional strength in commercial law, litigation, and trademark litigation. Recognized by Juristat as a top 35 law firm nationwide and holding Martindale-Hubbell’s AV® Preeminent™ Peer Review Rating, Marbury serves clients ranging from Fortune 500 companies and mid-size technology businesses to high-tech startups and inventors. Its practitioners bring unusually wide-ranging experience, including former technology executives, government R&D managers, startup founders, in-house counsel, “big-law” attorneys, USPTO patent examiners, and judicial clerks. 

Marbury delivers “big-law” service with the flexibility and personal attention of a smaller firm, pairing high-quality work with efficient, budget-aware billing. Based near the USPTO, the firm has drafted and prosecuted thousands of U.S. and foreign patent applications and trademarks, and advises on IP strategy, diligence, and licensing. Formed in 2009 through the merger of two established practices (with roots dating back to 1994), the firm takes its name from Marbury v. Madison (1803), the landmark Supreme Court case that established judicial review.

Introduction

When we sat down with Bob Hansen for this conversation, we knew it would be grounded in both legal depth and real-world business experience. Bob is a founding partner of The Marbury Law Group and has extensive experience across patent prosecution, litigation, licensing, portfolio strategy, and complex IP transactions. But what makes his perspective particularly compelling is that he also brings 20 years of real-world experience as an engineer, program manager, and business executive in Fortune 50 companies and start-ups. He understands firsthand how innovation moves from idea to product, and how intellectual property law fits into that journey.

That dual lens is exactly why we wanted to have this discussion. Bob evaluates technology not just as a patent attorney, but as someone who has managed engineering teams, navigated acquisitions and divestitures, raised capital, and built businesses. When someone with that background says AI has been transformative and backs it up with measurable 3 to 4x efficiency gains, it’s worth listening.

Introducing Solve Review: A Practical Guide to AI-Powered Patent Review

Patent drafting doesn’t end when the first draft is complete. In many ways, the most important work begins at review.

Jurisdictional compliance, internal style alignment, claim clarity, sufficiency of disclosure, and formal requirements. Each aspect of drafting applications must be carefully checked before filing. Yet a thorough review is time-intensive, difficult to standardize, and hard to scale across teams and large portfolios, especially when up against a tight deadline.

Enter Solve Review

With Solve Review, practitioners can run structured, customizable AI-powered reviews in minutes rather than hours, while maintaining transparency, collaboration, and full control over the output. 

Teams using Solve Review report dramatically, with multi-pass manual reviews that previously took three to four hours completing in a fraction of the time

Key benefits

  • AI-powered patent reviews in minutes
  • Each review is fully customizable
  • Save your reviews as templates, run multiple reviews per application
  • Full transparency of working out and results
  • Resolve issues detected by Solve Review with AI

Potter Clarkson Enhances Patent Practice with Solve Intelligence

Solve Intelligence is deployed at Potter Clarkson as a practitioner-led platform, designed to enhance - not replace - the expertise of experienced patent attorneys. The firm uses the technology primarily at a senior level, where skilled practitioners are able to prompt and interrogate the system effectively to guide high-quality outputs.

By combining advanced AI capability with deep technical and legal experience, the platform enables senior attorneys to work more efficiently while focusing their time and judgement on strategic advice, complex analysis and client value. This reflects the firm’s long-standing philosophy that technology should strengthen the role of the practitioner, not substitute professional expertise.

“At Potter Clarkson, our priority is delivering technically rigorous and strategically sound advice to our clients. We use Solve Intelligence as a tool in the hands of experienced patent attorneys - professionals who understand how to guide, challenge and refine AI-generated outputs. It allows our senior teams to concentrate on the aspects of drafting and prosecution where their judgement adds the greatest value, while maintaining full control over quality and client strategy.”

Peter Finnie, Partner, Potter Clarkson

Since rolling out Solve Intelligence’s Patent Copilot, the firm has tailored the platform to reflect its established house styles and drafting standards. This customisation reduces administrative burden and supports consistency across teams, enabling practitioners to engage with AI efficiently without compromising on quality, client-specific requirements, or the firm’s distinctive approach.

Peter Finnie to join Solve's Customer Advisory Board

We are excited to welcome Peter Finnie, Partner at Potter Clarkson, to Solve Intelligence’s Customer Advisory Board.