The AI platform purpose-built for patent work - one system for the entire IP lifecycle, from invention disclosure to litigation.
PATLYTICS — the patent-analytics platform founded in 2024 by Paul Lee and Arthur Jen. Photographed: the company mark. New York, New York.
A patent is often the single most valuable asset a company owns - and for decades, the software used to manage it was anything but. Patlytics, a New York startup founded in 2024, was built on that mismatch. Its pitch is direct: patent work is not a subset of legal work, and it should not run on tools borrowed from general practice.
The company sells an AI-native platform that handles the full patent lifecycle in one place. Where an IP attorney once stitched together disconnected products - one for search, another for drafting, a third for charts - Patlytics folds invention harvesting, application drafting, infringement detection, invalidity analysis, prosecution support, due diligence and portfolio management into a single system.
The engine is a set of custom-built large language models tuned for patent language, paired with a discipline the industry demands: citation-backed, source-audited outputs. In a field where an unsupported answer can become a decade of competitive exposure, "trust me" is not an argument, and Patlytics grounds its results in the underlying documents.
The economics are the sell. The company reports that customers cut up to 80% of project time, save more than $30,000 on a single claim chart - a document that traditionally consumes a large slice of attorney billing - and recover roughly 15 hours per patent application. Those figures explain how a company that started with about eleven people came to serve more than 40% of the Am Law 100.
Patent work is categorically different. It is not a subset of legal work; it is a company's most valuable asset, its moat.
AI-assisted drafting of patent applications, cutting up to 15 hours of work per filing.
Automated infringement detection with auto-generated, citation-backed claim charts.
Prior-art search and invalidity contentions with 102/103/112 arguments and charts.
AI-powered capture and structuring of inventions before an application is filed.
AI review and response support for USPTO office actions during prosecution.
Identifies high- and low-value assets and manages the portfolio with storage and classification.
Patlytics splits its base roughly evenly between law firms and corporate IP departments. Users report spanning the US, South Korea, Japan, the UK and Germany - a mix that reflects how cross-jurisdictional patent disputes have become.
Named users include corporate innovators and litigation heavyweights alike:
AI is doing two things to the patent world simultaneously: filling examination queues with AI-assisted inventions faster than examiners can read them, and fueling a rise in cross-border IP litigation, especially in Europe.
Patlytics positions against two kinds of rivals - generalist legal-AI assistants like Harvey and Legora, and legacy patent-search tools such as LexisNexis PatentSight, Clarivate and Questel. Its wager is that specificity wins: a platform built ground-up for patents beats both the general assistant and the single-point search tool.
From a 2024 seed round to a $40M Series B led by SignalFire in April 2026, Patlytics raised across three rounds in two and a half years, on the back of nearly 1,000% year-over-year revenue growth.
Investors include SignalFire, Next47, Gradient (Google), 8VC, Myriad Venture Partners, Relativity, Alumni Ventures and Liquid 2 Ventures. Total funding reported at roughly $58.5M–$65M.
Paul Lee, CEO, spent his career in venture capital - starting under Peter Thiel at Mithril Capital and later a partner at the $2B firm Tribe Capital - before deciding to build the tool instead of funding one. Arthur Jen, CTO, previously ran patent management at Magic, a crypto wallet company he co-founded, where he lived the slow-workflow problem firsthand. The two founded Patlytics in 2024.
An inadequately managed patent portfolio doesn't create a billing dispute. It creates a decade of competitive exposure.
Paul Lee and Arthur Jen launch Patlytics to rebuild patent software from the ground up.
Early backers including Gradient (Google) and 8VC fund the initial build-out.
Funding accelerates as customers and ARR climb sharply.
The company scales its platform with 40%+ of the Am Law 100 already onboard.
The CEO is recognized among global IP strategy leaders.
It provides an AI-native software platform that runs the full patent lifecycle - drafting, infringement detection, invalidity analysis, claim charts, prosecution, due diligence and portfolio management - for law firms and corporate IP teams.
It was founded in 2024 by CEO Paul Lee, a former venture capitalist, and CTO Arthur Jen, who previously led patent work at the crypto company Magic.
Roughly $58.5M–$65M total across a 2024 seed round, a $14M Series A in 2025, and a $40M Series B led by SignalFire in April 2026.
More than 40% of the Am Law 100 plus corporate IP teams at companies such as Google, Rivian, Canon, Panasonic and Sanofi, across the US, Asia and Europe.
It is purpose-built end to end for patent work - treating IP as its own discipline with citation-backed outputs - rather than serving as a general-purpose legal assistant.