Patlytics Raises $40M Series B to Build AI for the Full Patent Lifecycle
Precision work meets slow motion in patent law, and nobody calls it a problem because the system pays too well to complain. Hours stack, costs climb, and complexity gets treated like a feature instead of friction. That pressure point, where time and money quietly collide, is exactly where Patlytics stepped in and got to work.
Patlytics just locked in $40M in Series B funding, led by SignalFire, with N47, Myriad Venture Partners, Relativity, Alumni Ventures, Antiportfolio Ventures, and BAM Corner Point all pulling up with conviction. That brings the total to around $65M in under 2.5 years, which in startup time is basically overnight with receipts.
Paul Lee, Co-Founder and CEO of Patlytics, didn’t stumble into this lane. Tribe Capital, Mithril Capital, Global Founders Capital. The résumé reads like someone who understands both sides of the table, the people writing the checks and the ones building something worth cashing. That perspective shows up in the product. This isn’t artificial intelligence chasing headlines. This is applied intelligence aimed directly at one of the most expensive, time-consuming workflows in modern business.
Patlytics built an AI-native platform that runs the full patent lifecycle. Invention disclosure, drafting, prosecution, infringement analysis, invalidity research, portfolio management. The whole operation, not just a shiny feature bolted onto legacy systems that still think PDFs are a personality trait. And the market is responding. Over 40% of the Am Law 100 is already on board, which tells you this isn’t theory, this is production.
Speed changes behavior. When time compresses inside a system built on billable hours, incentives start to shift. Faster drafting, tighter analysis, cleaner workflows. That’s not just cost savings, that’s strategic leverage. The firms and enterprises that lean in early don’t just move quicker, they start seeing angles others miss.
The capital is headed toward deeper product development, collaboration layers, and autonomous agents built specifically for IP workflows. Not generic copilots pretending to understand nuance, but systems trained to operate where precision actually matters. Add a London expansion into the mix, and now you’re not just building a product, you’re planting flags.
Once patents move at the speed of software, protection turns into propulsion. Ideas don’t sit in review cycles, they compound. What used to take quarters starts happening in weeks, sometimes days. That shift doesn’t just save time, it changes how aggressively companies build, file, and defend what matters. And in that kind of environment, the gap widens fast between the companies creating leverage and the ones stuck negotiating for access to it.
