European Patent Prosecution with Generative AI

As AI technology continues to evolve, patent prosecution has seen a transformative shift with the introduction of Generative AI tools. In the context of European patent prosecution, both European patent attorneys and the European Patent Office (EPO) are now either using or considering using AI tools to streamline what has historically been a complex and time-consuming process. Here, we look at the applications of Gen-AI to European prosecution and the benefits it can provide.

European Patent Prosecution with Generative AI

Applications of Gen-AI in European Patent Prosecution

AI tools have the potential to streamline the entire European patent prosecution process, from filing to grant, and for both the patent attorney and the patent office. These tools can assist in several key areas:

1. Reviewing and Summarising Prior Art

Understanding the relevance of prior art and the interplay between prior art documents is a task that has historically been very burdensome for patent attorneys, but it is a necessity for formulating effective arguments for novelty and inventive step. 

Generative AI tools can automate or augment this process by summarising key aspects of the prior art, picking up on particular disclosure and teachings in separate prior art documents, and highlighting the differences between the cited references and the claimed invention. Providing this information to patent attorneys quickly and accurately allows them to focus more of their time on their arguments against specific objections.

2. Proposing Claim Amendments

It is more often than not that amendments to the claims are required during prosecution in order to overcome objections from the EPO. When making amendments, patent attorneys usually attempt to overcome objections with amendments in a manner that limits the claims as little as possible relative to their original position.

Generative AI tools can assist in this area by quickly and accurately highlighting and extracting wording from the specification that may address the Examiner’s concerns, while preserving the desired scope of the invention. Moreover, AI tools can provide multiple options for amendment, providing the patent attorney with a selection of possible strategies that may be of use to the applicant. 

By analysing previous amendments and their outcomes, in the file-wrapper or otherwise, AI tools can also suggest modifications that have a higher likelihood of being accepted by the examiner. This can be particularly valuable for complex inventions or when dealing with unfamiliar areas of technology or Examiners.

3. Responding to Objections

In tandem with considering amendment options, a critical part of prosecution is addressing objections set out by the EPO. Objections can be raised on various grounds including novelty, inventive step, added subject matter, or non-patentable subject matter, for example. Crafting a persuasive response requires a deep understanding of patent law, as well as the ability to construct a logical and well-supported argument that addresses the examiner’s concerns.

Generative AI tools can significantly aid in this process by analysing the examiner’s rejection, identifying relevant case law, and generating draft responses that align with established legal principles. If the amendment strategy is already decided, the AI can analyse the amendments to tailor the arguments to the specific claim features introduced in the amendments. 

For example, when considering inventive step, AI tools can be used to draft a problem-solution approach argument framework on the basis of one or more specific claim features and combinations of prior art documents. Such a framework can serve as a starting point for patent attorneys, who can then refine and adapt the content according to best practices. This approach not only saves time but also ensures that the response is grounded in solid legal reasoning.

4. Automating Legal Research

Legal research is a foundational element of any response to an EPO office action, whether it’s finding relevant case law or simply adhering to EPO guidelines for examination, attorneys regularly have to spend time looking up relevant law. This is usually a relatively arduous, time-consuming task (particularly when you know case law exists but fail to recall any of its details).

Fortunately, Generative AI tools excel at automating this research process. Indeed, AI is capable of scanning multiple legal databases, guidelines, and case law very quickly. AI can identify relevant precedents, interpret statutory language, and provide insights into how similar cases have been handled in the past. This not only speeds up the research phase but also ensures that the response is backed by the most relevant and up-to-date legal information.

As such, AI tools can be used throughout the process of responding to a European office action, and are equally applicable to use at search and in preparation for Oral Proceedings.

Use of AI at the EPO

The use of AI is not only beneficial to patent attorneys during prosecution, but also the patent office itself, and particularly with Examiner workflows during prosecution. 

In 2019 the EPO created a dedicated Data Science team in a concerted effort to apply artificial intelligence and machine learning technologies to realise similar efficiency and accuracy benefits for its Examiners. Since then, the EPO has released a number of AI tools.

One of these tools is AI-PreSearch, as discussed here. AI-PreSearch utilises a patent-trained language model to embed and search prior art documents in a massive vector space. It is used by Examiners at the EPO to identify relevant documents and citations, filling gaps where traditional methods fall short. The tool was tested and finds 36% of all citations on its own. 

Another tool used by the EPO is the EPO's Legal Interactive Platform, as discussed here. This tool is designed to streamline the search and retrieval of applicable law and guidelines to specific matters. It uses a Retrieval Augmented Generation (RAG) framework to provide accurate, context-driven answers to complex legal questions, outperforming traditional search methods. Effectively, the tool can be used to find that relevant needle in the haystack piece of case law in a much more efficient manner.

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Benefits of Using Generative AI in Patent Prosecution

The integration of generative AI in patent prosecution offers several benefits as touched on above, that significantly enhance the efficiency and effectiveness of the process:

1. Enhanced Efficiency and Speed

One of the most immediate benefits of using generative AI is the significant reduction in the time required to prepare responses to EPO office actions. Traditional methods often involve a lot of time spent reading and researching, sometimes with little direction, which can be both time-consuming and costly. Generative AI already excels at these types of tasks, and can provide good if not better results that allow attorneys to generate initial drafts quickly and efficiently. This increased speed not only helps meet tight deadlines but also allows for more thorough review and refinement of the final response.

2. Improved Quality

AI’s ability to draw on vast datasets of legal precedents and patent literature helps provide almost-instant and pertinent information that can help improve the quality of an attorney’s responses in an efficient manner, making the responses more robust. The attorney can then spend more time making further improvements where desired, from a solid legal starting point developed by the AI.

3. Cost Savings

Cost efficiency is another significant advantage of using generative AI in patent prosecution. By automating many of the labour-intensive tasks involved in drafting responses, AI tools can reduce the overall cost of the patent prosecution process. This is particularly beneficial for startups, small businesses, and individual inventors who may have limited budgets for securing patent protection. Lower costs also mean that patent professionals can allocate more resources to strategic decision-making and client interactions, further enhancing the value they provide to their clients.

4. Competitive Advantage

Adopting generative AI tools can provide a competitive advantage for European patent attorneys. As the EPO continue to explore the use of AI in their own processes (as touched on above), those who are already familiar with and utilising generative AI will be better positioned to adapt to these changes. By staying at the forefront of technological advancements, patent professionals can offer more innovative and effective solutions to their clients, setting themselves apart from competitors who rely solely on traditional methods.

5. Scalability and Adaptability

Generative AI tools are inherently scalable and adaptable, making them well-suited for handling a wide range of patent prosecution tasks. Whether working on a single patent application or managing a large portfolio of patents, AI can scale to meet the demands of the task at hand. This scalability is particularly valuable for law firms and in-house IP departments that handle high volumes of patent applications and Office actions. Additionally, as generative AI continues to evolve, these tools can be adapted to address new challenges and opportunities in the patent prosecution landscape.

In summary, the adoption of generative AI in European patent prosecution marks a significant shift in how patent professionals approach office actions and other aspects of the patent process. By automating routine tasks and improving overall efficiency, generative AI tools are set to become invaluable assets for patent attorneys as they move away from traditional, burdensome methods. The potential of AI is also well understood by the EPO itself, evidenced by their own effort to incorporate AI in their workflows. As AI continues to advance, it is likely that its role in patent prosecution will expand, leading to more streamlined and effective processes that benefit both applicants and patent offices alike.

Here, at Solve Intelligence, we are building the first AI-powered platform to assist with every aspect of the patenting process, including patent drafting, patent prosecution, office action analysis, patent portfolio strategy and management, and patent infringement analyses. At each stage, however, Solve works with the patent professional, and we have designed our products to keep patent professionals 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.

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As patent practitioners, the choice to “do nothing” about AI is not a neutral act. 

Law firms or in-house counsel that delay the adoption of AI may believe they are minimizing risk, but oftentimes they are taking on a different set of less visible, long-term risks. 

These hidden costs can accumulate quickly, from compounding inefficiencies in traditional patent drafting workflows to missed revenue opportunities that remain untapped without leveraging AI-driven capabilities.

So, what can patent practitioners do to stay ahead of the game? Here is what the Solve Intelligence team has seen speaking with thousands of practitioners.

Key takeaways

  • Waiting to adopt AI is itself a strategic decision with compounding costs.
  • Manual patent workflows create time, quality, and knowledge bottlenecks that grow over time.
  • Firms already experimenting with AI gain operational insight that late adopters cannot shortcut.
  • Low-risk entry points let practitioners build confidence without compromising legal judgment.

Why Patent Attorneys Need Purpose-Built AI

Legal AI platforms like Harvey and Legora are valuable productivity tools. Powered by large language models and enriched with legal data sources, firm-specific knowledge, and purpose-built workflows, they perform well on tasks like legal research, document summarisation, and contract or email drafting.

But their workflows are optimised for breadth across practice areas, not for the structural, technical, and jurisdictional depth that patent work requires.

For IP teams that already have access to a generalist platform, or are trying one out, the natural follow-up question is whether a vertical solution adds enough to justify the investment. 

At Solve Intelligence, we build AI specifically for patent practitioners. In our experience scaling the platform to over 500 IP teams, there is no question that patent-specific tooling delivers ROI that generalist platforms alone cannot. This article sets out why.

Key takeaways

  • Generalist legal AI tools weren't trained for the structural depth patent work demands.
  • Solve Intelligence is shaped by in-house patent attorneys who joined Solve from firms like Carpmaels & Ransford and Fish & Richardson.
  • Custom templating lets attorneys match output to house style, client/technology area, or jurisdiction.
  • Generalist and patent-specific AI are complementary investments, not competing ones.

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

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.

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.