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.

Related articles

Patent Landscape Analysis: How R&D Teams Identify Whitespace

R&D teams use patent landscape analysis to locate uncharted areas of a technology field, assess freedom-to-operate (FTO), and focus development resources on the areas of highest commercial value and broadest potential claim coverage.

Key takeaways

  • A patent landscape search locates whitespace; a novelty search locates prior art blockers. 
  • Patent landscape outputs require contextual analysis; volume alone does not determine opportunity or density.
  • Solve’s Charts tool scans millions of patents from a single file upload and leverages agentic searching, replacing manual iterative keyword & semantic search.

What IPBC Global 2026 in San Diego Revealed about the Future of IP

At IPBC Global 2026, Solve Intelligence was proud to be a sponsor of the conversations shaping the future of intellectual property. At the conference, we demonstrated how our platform amplifies end-to-end patent workflows, including licensing, litigation, and IP-backed finance.

Key takeaways

  • Generic LLMs cannot perform the structured legal reasoning and claim analysis that patent licensing and litigation require.
  • AI lowers the cost of analysing portfolios, from claim-to-product mappings to validity analyses, accelerating both sides of licensing negotiations.
  • IP-backed finance, insurance, and M&A due diligence are growing in sophistication and volume.
  • The profession faces a capacity gap that generic AI tools are not designed to close.

What Is a Freedom to Operate Analysis, and How Does AI Speed It Up?

A freedom to operate (FTO) analysis is a claim-by-claim assessment of whether a commercial activity would infringe any third-party patents in the markets where it will take place. AI speeds it up by handling the parts that scale badly by hand: surfacing relevant patents, mapping product features against claims element by element, pulling legal status by jurisdiction, and producing a cited, structured draft for the attorney to review and refine.

Key takeaways

• FTO analysis determines whether a product infringes third-party patents.

• A valid patent on your own invention doesn’t guarantee freedom to operate.

• AI compresses the slowest stages of FTO, including search, triage, and element-by-element claim mapping, while the attorney retains the legal judgment and owns the opinion.

• Generalist AI and purpose-built patent tools share a surface format; but FTO reliability depends on integration, not interface.

How to Build an Invalidity Claim Chart: A Practical Guide

An invalidity claim chart is a structured document that maps, for example, each limitation of a patent claim against prior art to show the patent should never have been granted. If you’re defending against infringement allegations, preparing an IPR petition, opposing a European patent, or advising a client on patent risk, knowing how to build one correctly is non-negotiable.

Key takeaways

• A well-built invalidity chart maps every claim limitation to prior art, element by element, with pinpoint citations to the exact column, line, page, or figure.

• When IPRs reach a final written decision, the PTAB now finds every challenged claim unpatentable around 70% of the time; and the chart is a key component of getting a petition instituted in the first place.

• Solve Intelligence’s Charts generates fully cited, limitation-by-limitation invalidity charts in minutes rather than days, flags weak limitation coverage candidly, and lets attorneys inspect the reasoning behind every mapping.