AI Patent Drafting: Patent Drafting Copilot vs GPT

Recent comparative testing reveals that Solve Intelligence's Patent Drafting Copilot consistently outperforms GPT-4o in European patent claim drafting. Here we explore the technical and practical limitations of using GPT-4o for drafting claims suitable for European practice, and how using Solve’s Patent Drafting Copilot can deliver substantial improvements.

AI Patent Drafting: Patent Drafting Copilot vs GPT

Testing Methodology

At Solve, we routinely run complex evaluations of our products and their ability to provide quality outputs against established benchmarks. This in turn allows us to iterate and improve on existing features and test new features, such that they perform to the high standard patent practitioners expect. 

To illustrate the benefits of this approach, we conducted a test of our Patent Drafting Copilot, and specifically its ability to draft claims for a European patent application. We used the Patent Drafting Copilot to generate claims for the last 5 years of European Qualifying Examination (EQE) Paper A questions (2019-2024), and marked the independent claims according to the following criteria:

  • Clarity and conciseness
  • Novelty and Inventive Step over the prior art provided in each paper
  • Whether the essential features of the invention are included in the claims
  • Whether unnecessary limitations have been avoided in the claims
  • Compliance with European practice requirements

The inputs we provided to the Patent Drafting Copilot included the invention disclosure and the prior art provided in each EQE paper, with no further instruction or input.

For comparison, we provided GPT-4o with exactly the same information, as well as a simple prompt outlining the task of drafting European patent claims.

Comparative Performance

As can be seen from the chart above, our Patent Drafting Copilot scored consistently better than GPT-4o across all of the previous 5 EQE papers. For the 2021 paper in particular, Patent Drafting Copilot scored 4x as many marks as GPT-4o. Across all five papers, GPT-4o scored an average of 38%, whereas Patent Drafting Copilot achieved 80%.

Differences in Output

From closely analysing the outputs of Patent Drafting Copilot and GPT-4o, some key differences emerge.

  1. Essential Features - Patent Drafting Copilot routinely identified more of the correct essential features of the invention from the invention disclosure, when compared to GPT-4o. The essential features are those that are required to achieve the technical solution the invention provides to overcome a technical problem. 
  2. Unnecessary Limitations - A common issue with the claims generated by GPT-4o is the presence of unnecessary features - those that overly limit the scope of the claim. In some cases, GPT-4o included more than three additional limitations in a single independent claim when compared to the model claim. In comparison, Patent Drafting Copilot rarely included very limiting features beyond those required to provide novelty and an inventive step.
  3. Clarity - There were further issues in the output of GPT-4o relating to clarity - notably antecedent basis and inconsistent use of prepositions. These issues were much less prevalent in the output of Patent Drafting Copilot.

Advantages of Patent Drafting Copilot

The above identified differences in output may be attributed to the fact that our Patent Drafting Copilot has been designed specifically for the task of drafting patent applications.

Unlike GPT-4o, which is built on a broad language model that relies on general linguistic patterns and an expansive, albeit nonspecific, knowledge base, our Drafting Copilot has been implemented with domain-specific knowledge, and is configured to draft sections such as the claims according to a methodology that mirrors how patent attorneys approach such tasks in reality.

At a high-level, Patent Drafting Copilot is built to follow detailed processes that include identifying essential features of the invention, identifying the objective technical problem to be solved, and iteratively working up independent claims, with several self-analysis steps along the way. We also ensure that these processes are kept up-to-date to accommodate any changes in practice requirements across several jurisdictions.

Ultimately this means that Patent Drafting Copilot is largely able to determine and distinguish the essential features of an invention from those which may be deemed to be unnecessary and overly limiting to the scope of the claims.  

Of course, the advantages of using Solve Intelligence’s Patent Drafting Copilot extend beyond claim quality; they provide tangible, practical benefits for patent professionals. In terms of, our Drafting Copilot can reduce the time needed to draft claims, by providing attorneys with a good starting point from which to build out suitable independent claims, or by providing multiple options for dependent claims for attorneys to edit or expand on, for example. More generally, drafting the claims using the Drafting Copilot can help patent attorneys get past the initial ‘blank page’ status of an application, to help move the drafting process along.

In our experience, we find that using Patent Drafting Copilot results in either or both of a reduction in time spent drafting and an increase in quality of drafted applications, as attorneys can focus more of their bandwidth on the parts of the drafting process that require the most complex analysis and work.

Future Outlook

While general-purpose AI will continue to evolve, specialised tools like our Patent Drafting Copilot demonstrate the crucial advantage of domain-specific optimization. We continue to update and build on our Patent Drafting Copilot to accommodate:

  • Refinement of our proprietary patent-specific algorithms
  • Integration of emerging drafting practices (taking into account new requirements)
  • Ongoing optimization processes

About Solve Intelligence

Here at Solve Intelligence, we are committed to building AI-powered platforms that can help practitioners draft in every technical field, including those relating to AI-inventions. Our platforms assist with every aspect of the patenting process while keeping patent professionals at the helm of these powerful tools. In this way, we give patent practitioners the control needed to reap AI's benefits while mitigating its associated challenges. Our Patent Copilot™ helps with patent drafting, patent filing, patent prosecution, office action analysis, patent portfolio strategy and management, and future patent infringement analyses. At each stage, our Patent Copilot™ works with the patent professional, keeping them in the driving seat, thereby equipping legal professionals, law firms, companies, and inventors with the tools to help develop the full scope of protection for their inventions.

AI for patents.

Be 50%+ more productive. Join thousands of legal professionals around the World using Solve’s Patent Copilot™ for drafting, prosecution, invention harvesting, and more.

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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.