New York, Paris - March 3rd - DeepIP, the AI patent platform, has raised $25M in Series B funding, bringing total capital raised to $40M, as enterprises standardize on DeepIP as their system of record for AI patent operations.
Trusted by thousands of patent professionals across more than 400 law firms and corporate IP teams in 25 jurisdictions & 5 continents—including Greenberg Traurig, Mewburn Ellis, Dexcom, and Philips—DeepIP has become the system of record for AI-native patent work.
This funding accelerates the company’s mission to make AI a first-class, trusted layer across every step of the patent lifecycle.
DeepIP is defining the infrastructure layer on which modern patent operations now run.
When AI Tools Fragment the Patent Workflow
While AI has become increasingly common in patent practice, most tools remain siloed—supporting individual tasks while forcing professionals to manage disconnected systems and manually carry context as work moves from one stage to the next.
This fragmentation introduces friction in a field where accuracy, traceability, and continuity are critical. As application volumes rise and experienced IP talent remains scarce, the limiting factor is no longer access to intelligence—but whether intelligence can move seamlessly with innovation as work evolves across teams and time.
Market consolidation is already underway, as leading enterprises replace fragmented AI tools with integrated infrastructure platforms designed to support patent operations end to end.
Trusted AI, Built Into the Way Patent Work Actually Happens
DeepIP was built for this new phase of AI adoption in patent practice.
DeepIP embeds AI directly into the environments where patent work already happens—including Microsoft Word and existing IP management systems. Teams can adopt AI without changing their tools or processes. As a result, customers see up to 20% higher adoption and 40% higher usage compared to standalone AI tools.
“The first wave of AI in patent practice focused on speeding up individual tasks,” says François-Xavier Leduc, CEO and Co-Founder of DeepIP. “But patent work is cumulative. It spans years, teams, decisions…We built DeepIP to be the system where that work lives, with AI embedded throughout the workflow so professionals don’t have to manage fragmentation or carry context manually.”
DeepIP’s goal is simple, says Leduc: “Bring AI at every step of the patent lifecycle.”
From Embedded Adoption to Platform Expansion
To date, the platform has assisted with more than 40,000 matters, reflecting adoption at scale across law firms and corporate IP teams operating in complex, high-volume patent environments—where efficiency, consistency, and coordination across teams are critical.
Building on rapid enterprise adoption, DeepIP has accelerated its roadmap toward deeper integration and collaboration across the full patent lifecycle.
Deepip has also accelerated on the most advanced agentic AI capabilities to support complex patent work—helping teams scale without added overhead.
Funding Co-Led by Korelya and Serena, with Participation from Balderton, and Headline
“DeepIP has built the modern end-to-end infrastructure for the new era of IP. Leveraging deep vertical expertise and native workflows that meet users where they are as compounding moats, the team has built an emerging global category leader in a matter of months,” says Paul Degueuse, Partner at Korelya Capital, the venture capital firm co-leading DeepIP’s Series B round, founded by Fleur Pellerin, former French Minister for Digital Economy and Innovation. “IP sits at the core of how innovation becomes value, while AI is transforming the way we invent. The patent lifecycle needs to catch up. It's overdue.”
The $25M Series B round, co-led by Korelya Capital and Serena (Dataiku), also includes participation from existing investors Balderton (Revolut) and Headline (Mistral AI).
“DeepIP has reached a major milestone since its Series A, increasing revenue by tenfold in the last 18 months and rolling out an AI-native platform now adopted by leading players and embedded at the heart of patent professionals’ daily workflows,” says Olivier Martret, Partner at Serena. “We strongly believe this platform positioning is essential to establishing a new standard and helping structure what remains a highly fragmented global market for AI applied to patents.”
About DeepIP
DeepIP was founded in 2024 by François-Xavier Leduc and Edouard d’Archimbaud, CEO and CTO respectively of Kili Technology, an AI scale-up that has been delivering AI solutions to Fortune 500 companies worldwide since 2018 and will continue as a standalone company with its own revenue streams.
DeepIP is a trusted, workflow-native AI platform built to support patent professionals across the full patent lifecycle—from early innovation through enforcement and portfolio evolution. Designed to integrate directly into existing workflows, DeepIP helps both law firms and in-house IP teams manage complex patent work with greater continuity, quality, and collaboration. The platform is already trusted by leading patent law firms and corporate IP organizations across Europe and the United States, including Greenberg Traurig, Mewburn Ellis, Dexcom, and Philips.
DeepIP’s North American headquarters are in New York City and its European headquarters are in Paris, France. For more information, visit www.deepip.ai or LinkedIn.
FAQ: About DeepIP
What is DeepIP?
DeepIP is an AI patent platform designed to support patent professionals across the full patent lifecycle—from idea to enforcement.
Unlike standalone AI drafting tools, DeepIP is workflow-native, meaning it embeds directly into environments like Microsoft Word and existing IP management systems. It connects drafting, prosecution, collaboration, and portfolio management into one integrated platform.
Today, DeepIP is trusted by 400+ law firms and corporate IP teams across five continents and has become the system of record for AI-native patent operations.
How much funding has DeepIP raised?
DeepIP has raised $40M in total funding, including a $25M Series B co-led by Korelya Capital and Serena (Dataiku), with participation from Headline (Mistral AI) and Balderton (Revolut).
The funding supports DeepIP’s expansion as the infrastructure layer powering modern patent operations globally.
What problem does DeepIP solve?
As AI adoption accelerates in patent practice, many teams face a new challenge: fragmentation.
Most AI tools address isolated tasks—drafting, prior art search, or analytics—forcing professionals to switch systems and manually carry context across stages and stakeholders.
DeepIP solves this by integrating AI directly into the patent workflow, connecting data, documents, and teams in a single system. This eliminates workflow fragmentation and enables continuity across the full patent lifecycle.
How is DeepIP different from other AI patent tools?
DeepIP is not a feature-based AI drafting tool.
It is the only workflow-native platform built with a full lifecycle vision and the widest workflow coverage in the market. Instead of asking patent professionals to adopt a separate AI interface, DeepIP embeds intelligence directly into the tools they already use.
This infrastructure approach drives:
- Up to 20% higher adoption
- Up to 40% higher usage
- Stronger enterprise standardization
DeepIP is designed as a long-term platform—not a point solution.
Does DeepIP replace patent attorneys?
No.
DeepIP augments patent professionals—it does not replace them.
Patent work involves high-stakes legal reasoning, strategic positioning, and domain expertise. DeepIP automates mechanical, repetitive tasks while preserving human judgment and control.
The goal is to free patent professionals to focus more on strategy and innovation rather than formatting, structuring, and administrative work.
Why is a patent-specific AI platform better than a generic LLM?
Patent work is not general writing. It requires accuracy, traceability, confidentiality, and structured legal reasoning.
Generic LLMs generate fluent text but are not designed for patent workflows. They lack domain grounding, lifecycle continuity, and enterprise-grade safeguards.
DeepIP is purpose-built for IP work, with:
- Structured claim drafting workflows
- Office Action response support
- Prior art analysis frameworks
- Secure, zero-retention AI infrastructure
This results in higher reliability, stronger security, and better integration into real patent practice.
How does DeepIP integrate into existing patent workflows?
DeepIP integrates directly into Microsoft Word, where patent drafting and prosecution already happen.
It also connects with IP management systems (IPMS) and docketing tools, ensuring continuity as matters move between in-house teams and external counsel.
Teams do not need to adopt a new standalone tool—DeepIP embeds into existing processes, enabling seamless adoption and collaboration.
Is DeepIP secure and compliant?
Yes.
DeepIP follows strict enterprise-grade security standards, including:
- SOC II certification
- ISO 27001 certification
- ISO 42001 certification
- NIST 800-53 Moderate alignment
All data is encrypted in transit (TLS 1.2+) and at rest (AES-256). DeepIP uses zero-retention AI infrastructure, meaning user data is not stored or reused for model training.
Security is foundational to the platform’s design.
How does DeepIP support life sciences and chemistry patents?
DeepIP is built for highly technical patent domains, including life sciences, biotech, pharmaceuticals, and chemistry.
Capabilities include:
- Structure-first chemical drafting
- Markush group derivation
- ST.26 sequence compliance
- Sequence-native drafting
- Patent-ready drawing and figure generation
- Prior art and Office Action analysis at scale
DeepIP preserves technical meaning and formatting integrity—critical in high-stakes scientific patent applications.
How widely adopted is DeepIP?
DeepIP is trusted by:
- 400+ law firms and corporate IP teams
- Thousands of patent professionals
- Teams across 25 jurisdictions and five continents
Platform activity has grown significantly year over year, with:
- Seven-fold growth in overall usage
- 3x increase across key patent workflows
- More than 40,000 matters assisted
This adoption reflects market consolidation toward integrated AI infrastructure platforms.
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