Patlytics raised $40 million in a Series B round led by SignalFire. The new capital lifts the AI patent platform’s total funding to roughly $65 million in just over two years.
Patlytics has raised $40 million in Series B funding led by SignalFire, with participation from N47, Myriad Venture Partners, Relativity, Alumni Ventures, Antiportfolio Ventures, BAM Corner Point, and Liquid2 Ventures. This brings the company’s total capital raised to approximately $65 million in under two and a half years, following $25 million in prior funding rounds.
The round positions Patlytics as the specialized AI platform purpose built for the entire patent lifecycle, addressing the fragmented workflows that have long plagued IP practices at top law firms and corporate teams. With revenue growing tenfold in 2025 and adoption by more than 40% of Am Law 100 IP practices, the capital infusion accelerates product depth, global scale, and autonomous capabilities in a market where U.S. patent applications exceeded 393,000 last year amid a significant USPTO backlog.
What is Patlytics?
Founded in 2023 and headquartered in New York, Patlytics emerged from co-founders Paul Lee and Arthur Jen‘s recognition of systemic inefficiencies in IP work. Lee, who previously invested at Peter Thiel’s Mithril Capital and Tribe Capital, identified patent law as a massive yet secretive market dominated by out of court settlements and manual processes across disconnected tools. Jen serves as CTO, and the pair assembled an exceptional founding team focused on rebuilding the patent workflow chain from the ground up rather than patching individual links.
The platform targets the full spectrum of users: Am Law 100 litigation and IP firms (including Quinn Emanuel, Latham & Watkins, Foley & Lardner, Susman Godfrey, Morrison Foerster, and McDermott Will & Emery) alongside corporate IP departments at innovators such as Rivian, Google, Panasonic, Sanofi, Canon, Meta, Ford, and Verizon.

Core Product Platform and Capabilities:
Patlytics delivers an AI native, end to end system engineered for citation backed, hallucination free outputs that withstand litigation scrutiny. Key functionalities span the patent lifecycle:
- Invention Disclosure and Drafting: Streamlined submissions with automated patent application generation and responses to USPTO office actions.
- Prosecution and Portfolio Management: Asset classification, patent to product mappings, portfolio comparisons, and identification of high value patents for pruning or assertion.
- Infringement Detection and Litigation: Automated claim chart construction (reducing projects that once required $30,000+ in attorney time), infringement analysis, and full litigation workflows.
- Security and Compliance: Enterprise grade controls tailored for sensitive IP data.
Users report up to 90% reductions in project cycle times, enabling faster turnaround on increasingly complex, technically dense matters while maintaining or growing headcount under tight client deadlines. Upcoming enhancements funded by this round include deeper chem-bio and life sciences tooling, standard essential patent (SEP) analysis, autonomous AI agents for drafting and research, and a shared workspace for seamless firm to corporate collaboration.
Patlytics has achieved rapid market penetration by delivering measurable ROI in a high stakes vertical. Over 40% of Am Law 100 IP practices now rely on the platform, reflecting strong network effects among elite firms handling “bet the company” disputes. Corporate adoption is accelerating as a faster growing revenue segment, with enterprises leveraging the system to map portfolios, identify valuable assets, and optimize maintenance costs.
The tenfold revenue increase in 2025 underscores product market fit in an environment where IP attorneys manage exploding dockets without proportional staffing growth. This traction validates the vertical specialization strategy: while broad legal AI platforms handle general tasks, Patlytics owns the hyper specific patent domain where general tools fall short on nuance, technical accuracy, and end to end integration.
How will Patlytics use the funds?
The Series B capital will prioritize three pillars to solidify leadership:
- Product Acceleration: Heavy investment in core AI development, including autonomous agents and domain specific expansions into life sciences and SEPs, ensuring outputs remain defensible in court while further compressing cycle times.
- Global Expansion: Targeted growth into EMEA markets, where IP complexity mirrors U.S. demands, alongside enhanced enterprise features for multinational portfolios.
- Team Scaling: Recruitment of mission aligned talent across engineering, go to market, and domain expertise to support accelerated adoption and innovation velocity.
This deployment emphasizes execution over breadth, tripling down on the connective tissue that unifies fragmented IP workflows into a single, reliable platform.
SignalFire leads with its focus on applied AI companies across pre seed to Series B stages and approximately $3 billion in assets under management. The syndicate blends repeat backers (N47, which led the prior Series A; Myriad Venture Partners; Alumni Ventures) with legal tech powerhouses (Relativity) and domain experts (Antiportfolio Ventures founded by former Kirkland & Ellis lawyer David Fox; angel participation from Jeff Hammes, ex-chairman of Kirkland & Ellis). This mix signals deep conviction in both the AI infrastructure and the specialized legal workflow thesis.
The investor group’s composition, AI specialists alongside top tier IP practitioners, reinforces Patlytics’ positioning as the definitive platform for consequential patent work.

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In the evolving legal AI landscape, Patlytics carves a distinct vertical moat by focusing exclusively on patents rather than pursuing horizontal breadth. Broader platforms have opened doors by proving AI viability to budget conscious practices, but they lack the depth required for patent specific tasks such as precise claim charting or technical portfolio pruning. Patlytics turns this gap into an advantage: firms already experimenting with general AI tools often discover their IP teams need a purpose built system, creating a natural entry point.
The addressable market remains expansive and under penetrated. With surging patent filings, persistent USPTO backlogs, and rising stakes in sectors like semiconductors, biopharma, and software, the demand for efficiency tools that deliver defensible, time saving outputs will intensify. Patlytics’ approach, rebuilding the entire chain rather than incremental fixes, aligns directly with client needs for faster, higher margin outcomes in a domain where errors carry decade long competitive consequences.
Independent models have flagged Patlytics as having strong potential to reach unicorn status, reflecting the combination of proven traction, specialized AI, and massive secular tailwinds in IP digitization.
This Series B marks a pivotal inflection for Patlytics, transitioning from rapid early validation to scaled dominance in patent AI. The funding equips the company to capture share in a fragmented ecosystem while setting the standard for citation accurate, lifecycle spanning intelligence. As IP work grows more technically demanding and globally distributed, Patlytics’ platform will enable firms and corporates to convert their most valuable assets into faster decisions, stronger protections, and superior litigation results.
With execution focused on product depth, geographic reach, and team expansion, the company is positioned to redefine IP workflows at the scale the market demands, delivering not just automation, but winning outcomes across the full patent lifecycle.
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