AI Patent Startup Patlytics Raises $40M to Automate IP Workflows

New York: In a bid to expand its AI platform for patent work, Patlytics has raised $40 million in a Series B round. The round was led by SignalFire, with participation from N47, Myriad Venture Partners, Relativity, Alumni Ventures, Antiportfolio Ventures, and BAM Corner Point.

Total funding now stands at approximately $65 million, raised in under two and a half years.

The New York startup covers the full patent lifecycle in a single platform. Customers use it for invention harvesting, application drafting, infringement analysis, invalidity contentions, due diligence, and portfolio management.

Over 40% of Am Law 100 firms are on the platform. Customers include Quinn Emanuel, Foley and Lardner, Canon, Rivian, Xerox, and TaylorMade. The approach sits within a broader wave of AI platforms transforming legal operations, including systems focused on AI-driven legal workflows and large-scale document processing for law firms.

Also read: Tech Giants Face Landmark Trial Over Youth Social Media Addiction Claims

The results customers report are specific. The platform cuts project time by 80%, saves over $30,000 per claim chart, and recovers up to 15 hours per patent application. Those numbers explain why law firms are adopting it quickly.

The traction reflects rising adoption of AI across legal teams, with platforms like enterprise legal AI systems used for research, drafting, and complex workflow automation gaining significant momentum.

Patent work is structurally different from other legal disciplines. It spans a company’s entire innovation cycle, from first idea to active litigation. Generic AI tools adapted from general-purpose models cannot handle the precision that patent prosecution and infringement analysis demand.

Patlytics was built specifically around patent document structure and the workflow patterns of IP practitioners.

The $40 million will fund three near-term priorities. The first is an AI-native collaboration suite for law firms and corporate IP teams. The second is domain-specific AI agents that complete drafting, research, and portfolio triage tasks autonomously. The third is international expansion, including a new London office targeting EMEA growth.

CEO Paul Lee founded the company after a decade in venture capital. He watched patent attorneys at top firms stitch together disconnected tools for some of the most consequential work in business. The round closes as AI drives simultaneous surges in patent filings and IP litigation globally.