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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.

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

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.

We are excited to welcome Peter Finnie, Partner at Potter Clarkson, to Solve Intelligence’s Customer Advisory Board.

On February 5, 2026, Solve Intelligence hosted a masterclass with IPWatchdog on AI prompt engineering for patent workflows. Nearly 750 practitioners registered from across the world.

The level of experience in the room was striking: 75% of attendees had more than 11 years of patent experience, and over 40% had more than 20 years. A clear indication that decision-makers are staying on top of the latest trends and educational content on AI.

Key insights

• Senior patent decision-makers are actively learning AI with 750 registrants and deep experience
• AI is broadly permitted with most respondents reporting approval or active policy evaluation
• Prompt engineering drives ROI with templates and structured instructions improving output quality

Watch the recording and download the slides

The recording covers the full prompt engineering framework for patent workflows, a live demonstration of prompting in action within Solve Intelligence across drafting, prosecution, and claim charting workflows, and a Q&A with the panel.

Download the slides here.

AI can improve the quality and efficiency of patent work - but it can also create new confidentiality and privilege risks if you don’t control what data is shared, where it’s stored, and who can access it. The good news: you can turn “AI risk” into a repeatable review process that your leadership, IT/security, and risk teams can sign off on with confidence.

This guide gives you a practical framework and a due diligence checklist, that you can use to evaluate AI tools for patent workflows without compromising client confidentiality.

Key takeaways

• In patent work, confidentiality failures can jeopardise patent rights—treat inputs as high-risk.
• Risk is more than training: retention, access, logs, human review, and subprocessors matter.
• Use data tiers: Tier 0–1 OK; Tier 3 ‘default no’ unless explicitly approved and controlled.
• Make it auditable: approved use cases, human review, matter separation, and vendor diligence.

For further information, read the full guidance below.

Solve Intelligence will be presenting a live product demo at the upcoming private workshop hosted by HG Law and organised by Cosmonauts.

📅 Wednesday, 4 March 2026:

Workshop: 2:30 PM - 6:00 PM | COMO Metropolitan London Hotel, London, UK

Dinner: 6:00 PM - 9:00 PM | COYA Mayfair, London, UK

This session is designed for Heads of IP, Patent Directors, and innovation leaders who want to level up their IP strategy by seeing AI applied in patent drafting, preparation, and prosecution.

Register Here.

Artificial intelligence is no longer a theoretical issue in patent drafting, and many firms are already using AI-assisted workflows in some form. The harder question now isn’t whether to use AI, but how to talk to clients about using it.

Key insights

• Focus on better drafting quality, enforceability, and fewer avoidable downstream problems.
• Walk through data handling so confidentiality and retention protections are easy to trust.
• Explain inventorship stays human and the attorney remains responsible for every word.
• Keep the process clear and documented so expectations stay aligned from day one.

For some clients, AI usage signals efficiency and modernisation. For others, it raises immediate concerns about confidentiality, inventorship, and quality control. Those concerns are legitimate, so the key is to approach conversations about AI in a way that is structured, transparent, and grounded in professional responsibility.

In practice, the most effective discussions with clients will focus on outcomes rather than technology.

This article provides a structured framework to use when talking to clients about using AI, such as Solve Intelligence’s Patent Drafting Copilot^TM, in patent drafting.