EPI Guidelines - Use of Generative AI for Patent Attorneys

Generative AI is already changing how patent attorneys work, and those that use AI platforms, such as Solve Intelligence’s Patent Copilot, are reporting efficiency gains and higher quality outputs.

As the uptake of generative AI increases amongst patent attorneys, professional bodies are starting to consider best-practice and standards for using this technology. 

The European Patent Institute (epi) recently released comprehensive guidelines detailing how patent attorneys can responsibly integrate AI into their workflows. These guidelines emphasise ethics, professionalism, and accountability when using AI. In this article, we set out the key takeaways of the guidelines, and how, at Solve Intelligence, we empower attorneys to use AI in line with these guidelines, ensuring that our Patent Copilot remains a powerful but controllable tool for assisting in patent practice.

EPI Guidelines - Use of Generative AI for Patent Attorneys

Overview of the Guidelines

The epi guidelines outline eight core principles for attorneys to follow when utilising generative AI. We’ve highlighted these principles and how Solve Intelligence supports compliance with them below.

  1. Understanding AI’s Capabilities and Limitations
    Generative AI, while powerful, can produce factually incorrect outputs. Patent attorneys should remain vigilant, reviewing AI-generated content critically to ensure accuracy.
    • How We Help: Here at Solve Intelligence, we routinely test and guard against hallucinations, and ensure that AI is used transparently such that it is distinguishable from user-entered text in our products, through the use of distinctive highlighting and tracked-changes, for example.
  2. Confidentiality and Data Protection
    Confidentiality is paramount in patent practice. Attorneys should be aware of security and confidentiality provisions for a specific AI tool, before entering any sensitive information.
    • How We Help: Security is our number one priority here at Solve Intelligence. Our products are completely sandboxed to our customers, such that there is no third-party monitoring or AI model training of any sort within our products. This ensures information entered into our products is kept confidential. 
  3. Ensuring Professional Responsibility
    Despite AI assistance, attorneys should be fully responsible for all outputs submitted to patent offices or clients. AI is a tool—not a replacement for professional judgement.
    • How We Help: Our Patent Drafting Copilot is designed from the bottom-up specifically for use by patent attorneys. We know that patent attorneys provide tremendous value and expertise, and are needed to ensure any output is of the required quality and accuracy. As well as providing clear distinction between manual inputs and AI inputs, our products also include various review functionalities to help attorneys proof-read and check work products generated within our products before they are ready for filing or sending to clients.
  4. Transparency in Client Communication
    Attorneys should be clear about how AI is used in their processes, ensuring clients are informed and approving of its role.
    • How We Help: Here at Solve Intelligence, we are able to help our customers where needed, by providing relevant documentation and guidance relating to our policies, so that they can easily explain how AI will be used to their clients.
  5. Maintaining Legal Compliance
    The evolving regulatory environment, including the European AI Act, requires attorneys to remain compliant with legal standards when using AI.
    • How We Help: We continuously monitor legal developments, and regulations such as the EU AI Act, to ensure that our platform is compliant and aligns with new regulations.
  6. Independent Accounts/Prompts for different Client work
    Using some general AI tools with specific prompts for one client may equate to ‘training’ the AI - which could then be used for different clients, raising confidentiality concerns.
    • How We Help: As previously stated, data entered into our platform is not used for training of any sort. Furthermore, we offer our customers separate, individual accounts. Sharing data such as prompts made by a user, between different accounts, (for example with a colleague), requires the permission of the user. In this way we ensure that the attorney user retains control.
  7. Attorneys can freely state their use of AI, but are not obliged to do so to the EPO or UPC
    Attorneys may wish to publish material indicating how they use AI and the benefits associated with it.
    • How We Help: We are transparent and happy to explain how AI is being used in our products to our customers, so that they can simply and effectively communicate this in websites and similar publications.
  8. Fair and Transparent Fees
    Efficiency gains from AI may translate to cost-effective services for clients. Attorneys may charge, at levels fairly reflecting the difficulty or extent of the task, for setting up or training of AI tools, AI tool subscription fees and for checking AI-generated work.
    • How We Help: We are very transparent with our customers regarding pricing, allowing our customers to more clearly plan how the use of our tools may affect the fees they charge.

A Balanced Future with AI as a tool for attorneys

The epi Guidelines on Generative AI Use emphasise that, while AI offers immense potential, it must be implemented thoughtfully and responsibly. At Solve Intelligence, we ensure that patent attorneys are kept at the helm of our products. In this way, we give patent practitioners the control needed to reap AI's benefits while mitigating its associated challenges.

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Solve Intelligence Ranked #1 IP Platform by the World's Leading Law Firms

Solve Intelligence has been ranked the number one intellectual property platform in the latest Legal AI survey published by SKILLS (the Strategic Knowledge & Innovation Legal Leaders Summit). The study surveyed 130 leaders at the world's top law firms about their legal AI product usage across every major practice area, scoring platforms based on live deployments, active pilots, and tools under consideration. In the Patents/IP category, Solve Intelligence placed first with a weighted score of 67, making it the most widely-used platform in the category. See the full report here.

The Hidden Cost of Ignoring AI in Patent Practice

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.