Legal Engineer

Patlytics, a NYC-based provider of an AI platform for the full patent lifecycle, raised $40M in Series B funding

Patlytics raised the new funding after securing more than 40% of the AmLaw 100 firms and growing revenue about 10x in a single year.

Why BAM Corner Point invested in Patlytics. April 8, 2026 Intellectual property and patents underpin some of the most important innovation pipelines in the world, from pharmaceuticals and semiconductors to the next generation of AI systems. And yet, the workflows that support this infrastructure have remained stubbornly manual, relying on armies of attorneys, paralegals, and outside counsel spending weeks and months on tasks that should now take minutes or hours. BAM Corner Point believe the breadth and complexity of tasks facing patent and IP lawyers now demands a purpose-built, vertical solution. That's why BAM Corner Point is excited about Patlytics, and why BAM Corner Point believe it's the company poised to transform how this work is done. Today, BAM Corner Point is proud to announce its participation in Patlytics' $40M Series B, led by Signalfire, alongside existing investors like Tribe Capital, Gradient, Next47, Alumni Ventures, and 8VC. The problem: A multi-billion workflow stuck in the past. There are more than 4 million patent filings a year globally, and the work behind each one - drafting, prosecution, infringement analysis, portfolio management, freedom-to-operate reviews - is still done largely manually. A single evidence-of-use (EoU) infringement chart costs approximately $10,000 in attorney and expert time and takes roughly two full human working days to complete. Defending against or enforcing a single patent claim can run into the millions. Yet the industry's "software" solutions - largely legacy databases and IP management systems built for docketing - have done almost nothing to change this. The result is a legal and corporate IP function that is slow, expensive, and inconsistent by design. In-house IP teams and Am Law 100 firms alike are stuck doing work that is structured, highly repeatable, and extremely data-rich, which is the kind of work AI was built for. Why Patlytics. Patlytics didn't begin as a traditional patent database that bolted on AI as an afterthought. It was designed from inception as an AI-native platform designed to automate historically manual, services driven workflows. Because both the product and data architecture were designed around AI from inception, Patlytics can iterate models faster, incorporate new techniques as they emerge, and sustain a structural performance advantage in a domain where accuracy and recall directly influence legal and financial outcomes. Patlytics is trusted by several Fortune 500 enterprise customers such as Ford, Xerox, Panasonic, Sanofi, Nissan, Rivian, Abnormal, Grail as well as Am Law 100 firms such as Quinn Emanuel, McDermott Will & Emery, Foley, among several others. Patlytics is the broadest AI-native patent platform available today, offering a complete end-to-end solution spanning patent drafting, prior art and invalidity analysis, office action responses, freedom-to-operate reviews, portfolio heatmapping, SEP analysis, and competitive intelligence. The platform especially excels in infringement detection - the highest-stakes, most economically consequential, and complex use cases in intellectual property. Customers typically report 80-90%+ reductions in time spent on infringement investigations (from days or months down to hours), and $20K-$30K saved per claim chart. On the prosecution side, users cite $5K-$7.5K saved per filing and 10-15 hours saved per patent application (out of roughly 40 hours total). The market: budgets are rotating toward automation. The legal AI market has seen tremendous AI adoption over the last 18-24 months. Legal AI startups like Harvey and EvenUp have demonstrated that legal buyers will both adopt and pay for AI-driven tooling. Within that broader trend, patent and IP work are particularly well-suited to AI: the data is structured and text-heavy; the analytical patterns are highly repeatable, and the ROI of getting it right (or wrong) is enormous. Patent drafting and prosecution represent roughly 65% of the typical IP budget - mostly outside counsel fees. As Patlytics looks to own end-to-end workflows in the patent intelligence space, the addressable market is an order of magnitude larger. The moat: A judgment layer that gets smarter over time. BAM Corner Point spend a lot of time thinking about defensibility in vertical AI. The risk is real: foundational models improve, commoditization pressure builds, and what looks like a moat today can erode quickly. Patlytics differentiates through its judgment layer that accumulates on top of the model. Every matter run through Patlytics teaches the platform something: which arguments succeed before which examiners, which claim constructions hold up in court, which prior art citations are actually persuasive, which licensing strategies work against which counterparties. That behavioral and outcome data is uniquely owned by Patlytics and cannot be replicated by a generic LLM or a new entrant starting from scratch. There's also a powerful network effect at work. In-house IP counsel teams are already requiring their outside firms to use the same tools they use, which creates an interesting adoption push. Patlytics will become table-stakes in the same way LexisNexis and Westlaw did for legal research: If one legal firm has this kind of automation and the other does not, the 'have nots' will spend more hours to end up with worse information. Once a sizeable number of Am Law 100 firms standardize Patlytics, the rest of the market has to follow to remain competitive. The Team: Paul Lee is recognized by IAM Strategy 300 as one of the "World's Leading IP Strategists." Arthur Jen is a serial infrastructure founder who brings the engineering rigor and security-first architecture that enterprise buyers demand. Supporting them is one of the most impressive advisory benches BAM Corner Point has seen in legal tech: the former Director of the USPTO, the CLO of Coinbase, the CLO of Waymo, the Global Chair of IP Litigation at Latham & Watkins, the Chief Licensing Officer of Ericsson, and the General Manager of IP at IBM, among others. These are active validators and connectors in the exact markets Patlytics is targeting. Closing thoughts: the future of patent intelligence. BAM Corner Point has been tracking the legal AI space closely for several years. The thesis has always been clear: legal workflows are expensive, manual, and highly amenable to AI. Its diligence was centered on identifying companies that are building defensible platforms: real systems of intelligence that legal buyers would trust with high-stakes decisions. BAM Corner Point believe Patlytics is building the analytical and decision infrastructure for IP stakeholders globally: the Bloomberg Terminal for patent strategy / the Westlaw for IP intelligence / the system of record that every law firm and every corporate IP team will one day run on. The next wave of AI-led innovation will depend as much on defensible ownership as it does on breakthrough models, and patents are the operating system of that ownership. An AI-native approach to patent law can compress timelines, improve decision quality, and make prosecution and portfolio strategy more data-driven, turning what has historically been a slow, bespoke process into a scalable capability for modern R&D teams. As AI accelerates the velocity of inventions across every sector, the companies that can reliably capture, protect, and monetize their innovations will compound their advantage. BAM Corner Point see Patlytics as the critical infrastructure layer enabling that outcome. BAM Corner Point is excited to partner with a team that is building the platform that helps innovators move faster and secure the rights that make sustained technology progress investable.