The Shift Has Already Happened: How Legal's Relationship with AI Changed

Two years ago, the dominant argument in the legal industry was whether AI had any place in the profession at all. That debate is over.

Analysts are now calling 2026 the year AI moves from an “interesting tool” to “operational infrastructure”. The speed at which that narrative has changed tells you everything about where the industry is heading.

Key takeaways

  • The legal profession's central question has moved from "can we trust this?" to "how do we integrate this properly?"
  • AI adoption across IP practice has risen from 57% in 2023 to 85% in 2025.
  • Firms are not just trialling AI tools, they are expanding its use across full workflows. Practitioners using Solve Intelligence grew ~560% in 2025 alone.
  • Clearer regulatory guidance has removed one of the most significant psychological barriers to adoption.
  • The profile of firms now adopting AI has changed: these are not early experimenters, but some of the most demanding legal professionals in the world.
The Shift Has Already Happened: How Legal's Relationship with AI Changed

How the conversation changed

Cast your mind back to 2023. AI discussions in the legal industry were largely defensive. Concerns about client confidentiality, professional liability, and data security dominated. Technology providers had everything to prove, and few law firms were willing to make the first move to adopt tools.

That has changed fundamentally and the early adopters have found themselves with a competitive edge in using these tools.

Firms that once refused to engage with the topic are now actively championing AI adoption across their workflows, not to replace their teams, but to enhance what those teams can do. Baker Donelson's 2026 AI Legal Forecast put it plainly: if 2024 was the year of AI hype, 2025 was the year of AI accountability. Additionally, research across the industry consistently shows that AI adoption among legal professionals has moved from a minority of early experimenters to a clear majority. What was once a concern is now a strategic priority and AI is on every legal team's agenda.

Regulatory clarity removing a major barrier

The competitive dynamic has sharpened. In a profession where efficiency and output quality are commercially critical, the cost of being behind (and not adopting AI) is no longer theoretical.

For patent practitioners specifically, the USPTO's revised guidance in November 2025 provided meaningful clarity: AI sits firmly in the category of tools to assist practitioners. That removed the ambiguity that had made many cautious about how deeply to engage AI in their workflows. Clearer positions from bar associations and policymakers have helped ease remaining concerns. Practitioners now have a framework within which to operate - and one of the most significant psychological barriers to adoption has been lifted.

How decisions are being made

Over the last couple of years, a lot has changed in how firms approach AI procurement.

Inbound interest has grown substantially, with practitioners and firms reaching out having already identified a need and done their own research. Word of mouth - through conferences, referrals, and peer recommendations - has done more to drive adoption than any vendor outreach could. Practitioners are now championing specific solutions internally, rather than waiting to be persuaded from the outside.

What we see in practice are initial conversations that move quickly into rigorous due diligence and structured procurement. When global firms are not merely enquiring but implementing tools into day-to-day workflows for active client matters, it reflects a level of institutional confidence that simply did not exist a few years ago. It also demonstrates their commitment to advising clients on this matter.

The speed of decision-making has also compressed dramatically. Because prospective clients arrive informed, the internal debate about whether AI is appropriate has already occurred, which means conversations move directly to: “how quickly can we implement Solve?

From single task to full workflow

Customers are not just sitting idle on these tools. Our team at Solve Intelligence has had the pleasure of partnering with global and boutique firms to roll out our software across practice groups, bringing more of their workflow into the platform over time, and increasing engagement across users, ensuring we are building a platform that users interact with daily rather than as an occasional tool for a specific task. The breadth of work now being done through Solve has widened considerably. From drafting and prosecution to invention harvesting and claim charting, including Freedom-to-Operate analysis and litigation support - the goal has always been to cover the entire patent lifecycle.

Proof of value is real and visible. Legal teams deploying AI at scale have consistently demonstrated measurable efficiency gains on complex tasks. Independent research reported by Legal Futures highlights that AI contract review achieves 94% accuracy compared to 85% for manual review, and completes the work in a fraction of the time. Within legal circles, that kind of evidence spreads quickly - and peer credibility has driven more adoption than any marketing ever could. These are efficiency metrics that the patent profession can also strive for when using specialized tools.

What we are seeing at Solve Intelligence

At Solve Intelligence, we have a privileged vantage point on this shift. Our AI platform is purpose-built for patent professionals - one of the most demanding, high-stakes areas of legal practice. It is a space where the hesitation that once slowed broader legal AI adoption has largely dissipated. The growth our team has seen over the past three years reflects the broader shift in the market.

Our customer base has grown to over 500 IP teams and thousands of users worldwide. What the team has built in the last few months alone surpasses what was achieved in our first year. This is not a gradual upward curve. It is acceleration.

The number of IP professionals using Solve Intelligence grew by approximately 560% in 2025. We see significant growth ahead.

What is coming next

When Solve Intelligence launched Claim Charts in December 2025 - purpose-built for patent litigation and high-volume IP analysis, covering everything from invalidity to infringement mapping, the response reflected exactly what we had been seeing in those early conversations. The question had shifted from "does AI belong here?" to "what can it do next?"

The enthusiasm among patent teams has been consistent: not just in one-to-one conversations, but across the industry events and conferences we attend throughout the year. We are building on that enthusiasm, expanding our partnerships with law firms and in-house IP teams as we develop the go-to platform for patent practice.

What this means

The 500+ teams we work with globally, across multiple jurisdictions, firm sizes, and practice areas, have invested in Solve, and they have stayed because it delivers on ROI.

Patent professionals are not a cohort who adopt technology for its own sake. The work is too consequential, and professional standards too exacting, for anything less than genuine value. When that group engages with real curiosity - asking which products, updates, and innovations are next - it signals that the shift is substantive rather than superficial.

To conclude, IPWatchdog recently noted that AI is beginning to influence patent practice in meaningful ways, with the clearest gains coming in exactly the work our clients do every day. That observation matches what we see across our own platform.

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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.