Patent attorneys still rely heavily on outdated tools like spreadsheets and PDFs, even as legal tech surges ahead. But Solve Intelligence, a Delaware-based startup, is out to change that. Armed with a fresh $12 million Series A funding round, the company is bringing the power of generative AI to intellectual property (IP) and patent workflows—dramatically cutting down the time legal teams spend on tedious documentation.
Founded just two years ago, Solve Intelligence offers an AI-powered in-browser editor tailored for IP professionals. Think Google Docs, but built specifically for drafting patents, responding to office actions, charting claims, and generating invention disclosures—all backed by domain-specific AI.
With zero sales or marketing hires, Solve has grown fast. Its co-founder and CEO Chris Parsonson revealed the platform is already used by 200 IP teams across the U.S., Europe, and Asia. Customers include industry giants like Siemens and Avery Dennison, along with top law firms like DLA Piper and Finnegan.
“Our revenue’s been climbing steadily—around 25% month over month,” Parsonson shared. “We’ve hit millions in annual recurring revenue (ARR), and we’ve built a team of exceptional patent attorneys, AI researchers, and engineers.” Although he didn’t provide specific figures, he noted that the company became profitable even before this latest funding round.
What’s driving this momentum? A shift in how legal teams embrace AI, paired with recent AI advancements that finally allow for the creation of high-quality patent drafting tools.
“Eighteen months ago, software for patent workflows just wasn’t feasible,” said Solve’s co-founder and Chief Research Officer Saj Ahilan. “Now, we’ve developed custom evaluations and algorithms that translate the raw output from models like ChatGPT into professional-grade legal content.”
The $12 million funding round was led by 20VC, with participation from Microsoft’s M12, Thomson Reuters Ventures, and Y Combinator. This brings Solve Intelligence’s total raised capital to $15 million. The startup plans to use the new funds to hire around 20 more team members, open a New York office, and scale its product capabilities even further.
Some of that investment is going straight into R&D—particularly for life sciences. Solve is already working with major pharmaceutical companies and IP law firms to enhance its AI for sequence listings and patent filings in biotech and healthcare.
“We’re doubling down on life sciences,” Parsonson said. “But beyond that, we’re expanding into more advanced use cases like freedom-to-operate analysis, claim chart licensing, litigation support, and patent portfolio management—especially for in-house legal teams.”
The legal tech market is heating up, and Solve faces tough competition from players like PatSnap, IPRally, HarveyAI, and Casetext (acquired by Thomson Reuters for $650M). But Solve believes its edge lies in flexibility, quality, and user experience.
“Every patent attorney has a unique style when it comes to drafting applications or responding to office actions,” Parsonson explained. “Our most loved feature? The ability to fully customize the AI to match a user’s personal drafting style—and switch between styles depending on the jurisdiction, tech area, or client. Teams can even build their own proprietary AI style libraries.”
Strategic investor partnerships are also giving Solve an upper hand. “Legal workflows are deeply tied to Microsoft Word,” Parsonson added. “With Microsoft as a backer, we’re deepening Word integrations, making AI adoption seamless within existing legal tools.”
As Solve gears up for expansion, it’s not just reimagining how patents are written—it’s redefining what AI can do in one of the most specialized areas of law.
