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§ Private Profile · New York City, NY, USA
AI-powered patent platform helps IP attorneys and corporate IP teams draft, prosecute, and manage patents, integrating AI into existing workflows.
DeepIP is an artificial intelligence-powered patent platform based in New York City and Paris that assists intellectual property attorneys with drafting, prosecuting, and managing patents. Operating through a subscription-based software model, the platform integrates directly into existing legal workflows to augment the full patent lifecycle. The company has drafted over 8,500 patent applications and serves a global client base of more than 400 law firms and corporate intellectual property teams. DeepIP's enterprise customer base includes notable organizations and corporate clients such as Greenberg Traurig, Dexcom, and Philips. The business reached $1 million in annual recurring revenue within seven months of its initial commercial launch and has secured $55 million in total funding from venture capital investors including Resonance and Balderton Capital. DeepIP was founded in 2024 by former Kili Technology executives François-Xavier Leduc and Edouard d'Archimbaud.
DeepIP has raised $40.0M across 2 funding rounds.
DeepIP has raised $40.0M in total across 2 funding rounds.
DeepIP has raised $40.0M across 2 funding rounds. Most recently, it raised $25.0M Series B in March 2026.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 3, 2026 | $25M Series B | Fleur Pellerin, Olivier Martret | Balderton Capital, Headline | Announced |
| Mar 1, 2025 | $15M Series A | Resonance VC | Animoca Brands, XAnge, Andrew Nutter, Sebastien Borget, Stani Kulechov, Balderton Capital, Jonathan Userovici, Serena Capital | Announced |
DeepIP has raised $40.0M in total across 2 funding rounds.
DeepIP's investors include Fleur Pellerin, Olivier Martret, Balderton Capital, Headline, Resonance VC, Animoca Brands, XAnge, Andrew Nutter, Sebastien Borget, Stani Kulechov, Jonathan Userovici, Serena Capital.
DeepIP is an AI-first company building a patent-drafting and prosecution assistant that uses generative models and IP-specific data to make patent professionals faster and produce higher‑quality, more defensible patents[4][3].[5]
High-Level Overview
DeepIP is an enterprise legal‑tech company offering an AI patent assistant designed to embed into patent professionals’ workflows (Word, IPMS, web) and accelerate drafting, review, and prosecution while preserving confidentiality and enterprise security[4][3].[5]The product targets law firms (including Am Law 100 firms), corporate IP teams, and patent practitioners across technology domains and major jurisdictions (USPTO, EPO, PCT, UKIPO, CNIPA, etc.) and claims time savings and productivity gains (reported reductions in drafting time and adoption metrics by customers)[4][5].[1]As a portfolio-stage startup, DeepIP positions itself to transform the IP workflow by replacing tedious, repetitive drafting tasks with AI augmentation so practitioners can focus on strategy and higher‑value work, while complying with enterprise security and non‑retention of client data[3][4].[5]
Origin Story
DeepIP (previously known as “davinci”) was founded by François‑Xavier Leduc (CEO) and Édouard d’Archimbaud (CTO), entrepreneurs with prior AI scale‑up experience at Kili Technology; the company’s founding and go‑to‑market ramp took place in 2023–2024 with headquarters in New York City and a European presence in Paris[1][5].[3]The founders’ background building AI solutions for Fortune 500 clients and government‑grade environments shaped DeepIP’s early focus on reliability, security, and IP domain expertise; early traction included adoption by top IP firms and the drafting support of thousands of patent applications (press reports cite ~8,500 applications assisted) and rapid customer interest upon launch[3][5].[1]
Core Differentiators
Role in the Broader Tech Landscape
DeepIP rides the convergence of generative AI maturity and increasing demand for domain‑specific legal automation; the IP field faces rising application volumes, scarce skilled practitioners, and pressure to reduce cost and increase speed, creating strong product–market fit for AI tooling in patents[3].[5]Timing matters because recent advances in large language models and enterprise readiness (security, hosting options such as Azure) make it feasible to deliver reliable, auditable outputs acceptable to law firms and corporate counsels[3].[4]Market forces in DeepIP’s favor include law firms’ demand to improve partner/associate productivity and talent retention, corporate focus on protecting IP at scale, and regulators/clients insisting on secure, non‑training use of sensitive materials[5].[4]By deploying a trusted, domain‑tuned assistant, DeepIP can influence the broader ecosystem by accelerating legal tech adoption, raising expectations for AI‑augmented IP workflows, and shaping standards for security and model governance in legal AI[3].[4]
Quick Take & Future Outlook
Near term, DeepIP’s pathway is scaling enterprise adoption (more Am Law and in‑house teams), expanding coverage by jurisdiction and technical domains, and continuing to prove ROI metrics (time saved, patent quality improvements) to drive renewals and upsell[4].[5]Medium term, success depends on maintaining strict data governance while improving model reliability and explainability so patent practitioners trust outputs for defensibility; broader adoption will follow if DeepIP sustains security assurances and measurable quality gains[3].[4]If DeepIP continues to execute, it could become a standard component of IP practice toolchains—shifting the attorney role toward strategy and review while AI handles drafting primitives—and help set industry norms for enterprise legal‑AI deployment and data non‑retention[5].[3]
Quick take: DeepIP combines patent domain focus, workflow integration, and enterprise security pedigree to address an acute efficiency and quality need in IP prosecution; its growth will hinge on delivering provable quality, maintaining trust around client data, and extending jurisdictional and technical coverage[4].[3]