EPI’s Podcast on How AI is Transforming Patent Practice

In a recent conversation between leading European patent attorneys, they confirmed what many of us were experiencing firsthand: AI has moved beyond the hype to become an essential tool that elevates both strategic capabilities and operational efficiency for patent practitioners. The evidence is compelling and the transformation is accelerating. Listen to the full podcast here.

EPI’s Podcast on How AI is Transforming Patent Practice

Image from INSIGHT epi - The podcast for European patent professionals (AI in patent practice: A reality check)

Transforming Patent Workflows with Proven Performance Gains

The transformation is already happening across European patent practices. Leading practitioners on the Podcast, Johannes Schmid (Partner of Durm), Bastian Best (Founder of BestPatent) and Jan-Christian Schütte (Managing Partner of Noventive), report reducing traditional two-to-three-day drafting cycles to highly focused single-day efforts while maintaining — and often improving — quality standards. This represents a fundamental shift in how we approach patent drafting and resource allocation.

AI-powered patent drafting consistently delivers grammatically precise, professionally polished content that elevates the standard of patent applications. The linguistic refinement in eliminating spelling errors and awkward phrasing or terminology creates documents with a level of consistency and precision that impresses clients and fit for submission before the patent office.

Today's ecosystem features over 30 specialized AI patent drafting tools, spanning from integrated Word plugins to comprehensive platforms offering figure support. This ecosystem maturity demonstrates that AI integration has evolved from experimental technology to one that is essential in every practitioner’s toolkit.

Clients Embracing Enhanced Services

Both Jan-Christian and Bastian highlight that, most tellingly, client feedback has been overwhelmingly positive. Technology-forward companies, in particular, recognize the enhanced clarity and consistency that AI brings to patent applications. Clients appreciate the level of precision and consistency and often notice the improved quality. 

Clients also welcome the strategic implications of AI efficiency. For lower-priority inventions that don't warrant extensive manual drafting, AI enables cost-effective patent protection without sacrificing thoroughness. This creates opportunities for broader IP strategies and more comprehensive portfolio development.

The speakers highlight that the key to successful implementation of AI is transparency. Clients trust attorneys who clearly communicate how AI enhances their work, positioning it as a tool that enables better service delivery rather than corner-cutting. 

Attorneys are starting to see how AI enhances workflows when considered as a strategic drafting partner rather than a simple writing assistant. Context-rich engagement is crucial. The best results come from uploading invention disclosures, generating clarifying questions, incorporating prior art analysis, and reviewing AI-assisted figure interpretation. This comprehensive approach enables AI to serve as what the speakers called a "creative co-pilot."

The Professional Evolution

The most profound impact of AI in patent practice isn't efficiency — it's how it's redefining our professional value proposition. We're witnessing a fundamental shift from content creation to strategic judgment, from document drafting to commercially-focused advisory services.

It was noted in the podcast that this evolution frees attorneys to focus on uniquely human capabilities:

Strategic Claim Drafting: Defining meaningful claim scope that balances protection with enforceability and developing sophisticated fallback strategies for prosecution.

Enhanced Client Collaboration: Deeper engagement with inventors and technical teams, more strategic client consultation, and comprehensive portfolio development.

Quality Legal Oversight: While AI generates polished text, the strategic elements that define exceptional patent practice such as legal claim strategy, articulating the technical effect and story-telling remain firmly in our domain.

As one experienced practitioner emphasized, "Someone has to sign off. Someone has to think strategically. AI is a tool — not a substitute for expertise."

Addressing the Skills Question

The emergence of AI raises legitimate questions about professional development. The consensus is clear: core competencies remain essential, but the focus is shifting.

For new practitioners, the advice is unanimous: master traditional skills of drafting and prosecution first. Understanding how to manually craft claims, analyze prior art, and develop prosecution strategies provides the foundation needed to effectively evaluate and refine AI-generated content.

For experienced attorneys, success increasingly requires AI literacy to remain competitive. It’s essential to understand how to interact with the AI, evaluate output quality, and match tools to specific tasks. 

Market Implications: Expansion Through Accessibility

Rather than shrinking demand for patent services, AI may actually expand the market. As costs decrease and efficiency improves, combined with AI becoming common in R&D practices, we're likely to see increased patent filings across industries, potentially leading to more prosecution work and opposition proceedings.

This effectively means patent protection becomes accessible to individual inventors, startups, and organizations previously priced out of higher quality patent services. The result could be a more diverse innovation landscape and expanded opportunities for patent professionals.

Best Practices for Implementation

Successful AI integration follows several key principles:

Strategic Tool Selection: Begin with benchmarked, high-performing solutions rather than experimenting broadly. Focus on tools that consistently deliver measurable improvements.

Template-Driven Consistency: Predefined templates tailored to specific technologies and client requirements ensure consistent quality while maximizing efficiency gains.

Internal Champions: Designating AI power users within teams creates centers of excellence that develop prompt libraries, quality standards, and best practices.

Maintain Professional Oversight: Never fully automate the drafting process. AI generates the foundation; human expertise provides the strategic architecture.

Looking Forward: Competitive Advantage Through Strategic Adoption

The transformation is accelerating, and the attorneys who embrace AI-assisted workflows while maintaining their essential expertise are positioning themselves for sustained competitive advantage.

At Solve Intelligence, we've designed our Patent Copilot specifically for this evolution and the future of private practice. Our platform combines AI capabilities while keeping attorneys in the driving seat to provide strategic oversight, enabling practitioners to focus on what truly differentiates their practice: deep experience, strategic thinking, and commercial advisory.

The evidence from leading European patent attorneys is unambiguous: AI represents a transformative opportunity and those who embrace these tools while maintaining their core expertise will be the ones defining the future of patent practice – one that is more strategic, efficient, and client-focused.

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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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.