Marbury Law sees 3x-4x efficiency gain from using Solve Intelligence

The proof: 3 to 4x efficiency (and what that changed)

“I tracked my own drafting time before and after using Solve and saw a 3x to 4x efficiency gain, which meant we could finally meet fixed-fee caps comfortably at partner rates.”

Solve: Bob, tell us more about your initial evaluation process. You were quite ahead of the curve in testing AI tools and became one of our early customers. How did you decide to step into the world of AI?

Bob: In November 2023, someone introduced me to ChatGPT, and I was genuinely blown away by its potential for legal drafting. It immediately felt like a “get on this horse or be left behind” moment. My partner and I both had deep exposure to AI through years of patent work, especially after reading “Attention Is All You Need”, so we understood the significance of what was happening. We began experimenting carefully, hosting open-source models on our own secure systems to protect client confidentiality, but the quality wasn’t quite there. When we heard that a large law firm was using Solve Intelligence, it was a wake-up call: if they could combine high billing rates with AI efficiency, our boutique advantage could disappear. That’s when we signed up for Solve. We were impressed by the security standards and the fact that your team handled model optimization so we could focus on actually using the tool.

Solve: That’s a great story. What was your decision process like back when you were experimenting with the different AI offerings out there?

Bob: While we were early adopters of AI, I wouldn’t say we jumped in headfirst as a firm. A few of us tested a few tools and took a cautious, deep approach. I tracked my own drafting time before and after using Solve and saw a 3x to 4x efficiency gain, which meant we could finally meet fixed-fee caps comfortably at partner rates. Once I had those hard numbers, the business case became undeniable. Today, it’s clear that firms who don’t embrace AI risk being left behind.

Solve: Definitely the right way to do it by thorough testing to make sure that it’s the real deal. You don’t want to blindly go into anything simply because there’s hype around it. 

From skepticism to adoption: how Bob got clients and the team on board

“I don’t know what my billable rate is per keystroke, but I can tell you it’s significant. So when I showed clients the whole picture of the security assurances, the cost benefit, and the turnaround time, they gave me more work. It was full buy-in from them.”

Solve: So, tell us, what worked really well in getting clients and colleagues on board to try out Solve Intelligence and upskill in AI?

Bob: Well, basically, practical demonstrations. For clients, a few of them asked about information security so I sent Solve’s data security and confidentiality information to show that their data is fully protected. For some, it was about the economics. I said, “Look, if I do it manually, it’s gonna be this amount. If I do it using Solve, it can be less than half of what I charge without. What do you want?” And pretty soon I was getting, “Use your AI thing and do this.” from my clients. As I was using Solve, I was able to turn around work for clients much, much faster, and better, frankly. Before I might have prepared a patent with 70 or 80 paragraphs and that was enough; now with Solve, I’m turning around 120 paragraph applications that cover more alternatives and details because the AI helps me expand. I don’t know what my billable rate is per keystroke, but I can tell you it’s significant. So when I showed clients the whole picture of the security assurances, the cost benefit, and the turnaround time, they gave me more work. It was full buy-in from them.

Solve: Sounds like you presented your clients a compelling case where objectively, there is no better option. What about with your team, how did you get them onboard?

Bob: With my partner and our team, it was the same: demonstration. We recently had our AI Summit at Marbury, and there I hosted a two-and-a-half-hour session on AI drafting. For a good hour of it, everyone watched me write a 110-paragraph application live with Solve on the spot, and it was clear for everyone that the quality was right there in front of them along with speed. They were blown away.

Solve: Sounds like it was a very engaging AI summit.

What changed day-to-day: chat, context, and in-product drafting

Solve: What are some tips you’d give someone trying to integrate AI into their workflow for the first time in patent practice?

Bob: Frankly, Solve has so much capability. I compare it to my iPhone: there’s so much functionality in there, I might not use every single thing, but I really depend on the key features. It’s helpful to give people time to try the easy things and play around with it. It’s almost like a video game at first. If you have multiple people inside the firm all using it, you can compare notes and that’s also really beneficial. After someone at Marbury gets onboard with Solve, I’ll sit with them after their onboarding training and say to them, “Let’s do an application. Why don’t you start with the disclosure; you run the keyboard and I’ll guide you through it,” just to get them over that initial hesitation right there.

Solve: So the general advice is: don’t be afraid to go in and just play around and click things, try the different features, and see what happens?

Bob: Yeah, that’s it. One of the really powerful features of Solve is the chat. You guys have put together a wonderful chat function where it’ll tell you anything you need to know and lead you through all the different sections. Before Solve, I used Gemini or Grok or ChatGPT, but then I’ve got to get it into my document: copy, paste, reformat. Now with Solve, I don’t have to do that anymore because the chat is right there inside your platform. I can ask chat to rewrite any part of my document, and it’ll even do that in tracked changes so I can see exactly what it’s done. And the AI’s understanding is impressive, too. It can understand and analyze new technology, which is huge for patent attorneys because we’re always jumping into new fields with new acronyms and terminology. Before Solve we’d have to go and search “what does this term mean?” somewhere else and copy and paste something into a Word document; now we do all of that inside Solve with the chat’s help.

Solve: Yeah, we agree. Chat is a fantastic gateway to the rest of the AI capabilities, and it’s the least daunting way to start: we often tell our customers that you should try talking to the AI in the chat like you’re talking to a colleague.

Bob: And another powerful aspect is that every document I load in then becomes part of the context space of the project I’m working on. So when I’m interacting with Solve for either an application or an office action response, whether in the chat or somewhere else, the AI is working in that highly relevant context. And that’s what makes drafting with Solve so easy: you don’t have to write complex prompts; it knows what to do if you give it the resource.

Solve: Exactly. That context setup is something we’re proud to have built. The user can control and dictate how the AI utilizes and relates to the contextual information provided, and that makes a huge difference in the quality of the output.

The parking lot story: filing three provisionals in 24 hours

“While we were both in our cars, in two different states, we had a 45-minute discussion going over all three of their innovations. After I drove home, I dropped the information into Solve to generate the drafts. The next morning, we filed three provisional applications. That was not physically possible before Solve.”

Solve: Last question for you. Now that you have Solve and other AI tools that you use on a day-to-day basis, how has the way that you spend your time changed versus, say, 3 or 4 years ago when you didn’t have access to these tools?

Bob: Oh wow, dramatically. For patent applications and office actions, it used to take me 10, 15, maybe 20 hours for a complex application. Now with Solve, in two or three hours, I can do what used to take me days of scheduled time. Not only that, I can cover more embodiments, more alternatives, more background technology, so I’ve got better enablement. 

Solve: Yeah. And we’re sure the time freed up is helping you engage with the client in more strategic discussions and really get into the depth and value of their inventions, rather than typing away on a keyboard. It creates better outcomes for both parties.

Bob: Exactly. And come to think of it, I have one story to tell you. One day I was driving back home from a couple of hours away when I got a call from a client: “We’re on our way to a meeting to pitch three new inventions for the first time, and we’d like to file applications ASAP on what we’re going to reveal. What should we do?” I said, “Let me pull over,” so I pulled into a shopping center parking lot, got on my computer, set up a Teams meeting and dialed them all in. Turns out, the inventors are also in a car on the side of the road somewhere in Georgia. While we were all sitting in our cars in two different states, we had a 45-minute discussion going over all three of their innovations and they sent me a few of the drawings. After I drove home, I dropped all of the information from the meeting into Solve as my starting point. The next morning, we filed three provisional applications.

Solve: Wow! That is incredible. And the fact that you were able to race to protect these new inventions in less than 24 hours, that is extremely valuable for your clients.

Bob: That was not physically possible before Solve. Those clients now think I walk on water and I get referrals all the time. But I couldn’t do it without Solve.

Solve: Just picturing you guys making innovation protection happen while both sitting in mall parking lots in different parts of the country. What a story!

Bob: It’s pretty cool. 

What made Solve stick: continuous improvement and responsiveness

“I’ve talked to a few of your competitors and they say, “Yeah, well, Solve’s in the lead, but we’re catching up.” But I tell them, “Solve is running very fast. I don’t know if you’ll ever catch up with them.”

Bob: By the way, congratulations on your recent Series B funding round. 

Solve: Thank you so much! We’re very excited for what’s ahead.

Bob: I gotta say, another impressive thing about Solve is that it seems like every two weeks, you make improvements to the product. I attend all of the onboarding sessions whenever we have new attorneys getting onto Solve because I’ll learn about a new feature every time. You’re evolving faster than we can keep up, which is great. I think continuous improvement in your world is going to be extremely important, not only to keep your competitiveness, but also to increase value-add to your clients, like us.

Solve: We appreciate that, and you’re right; velocity is very important to us. We tend to ship new updates and features every two or three days, and it means a lot that you guys are always eager to try them out whenever we launch them.

Bob: That’s a very encouraging aspect. I’ve talked to a few of your competitors and they say, “Yeah, well, Solve’s in the lead, but we’re catching up.” But I tell them, “Solve is running very fast. I don’t know if you’ll ever catch up with them.” And the amazing thing is, I don’t know how many times we’ve said to Solve, “Hey, could you do this or fix this?” and within two weeks, it’s there. Super responsive.

Solve: There’s still tons to do, and it’s due to feedback from you and the Marbury team as well as from all of our other users that helps us improve. So, a massive thank you on behalf of Solve for always keeping an open channel with us. You make us better.

Conclusion: Advice for IP and patent teams considering adopting AI technology

If there’s one theme that runs through our conversation with Bob, it’s this: the firms that will thrive in the next decade are the ones willing to experiment, measure, and adapt.

Adopting AI in patent practice requires curiosity and discipline. Start small. Track your own time before and after. Run live demonstrations internally. Compare notes across your team. Treat AI as a thought partner that frees you to focus on strategy, quality, and client relationships.

What struck us most in Bob’s story wasn’t just the 3 to 4x efficiency gain. It was the parking lot moment: filing three provisional applications within 24 hours while everyone was on the road. That kind of responsiveness simply wasn’t possible before. AI doesn’t replace expertise; it amplifies it. And for IP teams willing to embrace it thoughtfully, the upside is not just speed; it’s better outcomes, stronger portfolios, and deeper client trust.