Sparlo vs DeepIP

This is a factual comparison, not a takedown. Every claim about DeepIP below was verified against deepip.ai or a cited third-party source as of August 2026. Where we could not verify something, we say "not published" instead of guessing. Decide on evidence, not adjectives.

DeepIP is a venture-backed patent platform founded in 2024 by François-Xavier Leduc and Edouard d'Archimbaud. In March 2026 it closed a $25M Series B co-led by Korelya Capital and Serena, bringing total funding to $40M.

DeepIP leads with drafting. Its homepage tagline is "Draft faster, prosecute smarter, and defend with confidence," and it positions itself as a full-lifecycle platform, "from idea to enforcement" (deepip.ai, as of August 2026). Listed features: patent drafting from invention disclosures, office action responses, prior art search across a claimed 120M+ patents, patentability assessment, FTO and invalidity analysis, and patent drawings.

Credit where due:

• Breadth. DeepIP covers the patent lifecycle end to end, from disclosure intake to drafting to enforcement analysis. If a firm wants one vendor across everything, that breadth is real.
• Drafting from disclosures. Generating a full application skeleton from an invention disclosure is its headline capability, and it is the capability the product is built around.
• Enterprise posture. DeepIP publishes SOC 2 Type II, ISO 27001, and ISO 42001 certifications on its site (deepip.ai, as of August 2026), and its funding press cites 400 law firms and corporate IP teams across 25 jurisdictions (company-reported figure, IPWatchdog).
• Momentum. $40M raised in roughly nine months of 2025-2026 is a signal that large firms are buying.

Sparlo is built for patent prosecution, not the whole lifecycle. Four concrete differences:

1. Office-action-first analysis. DeepIP is drafting-led; office action response is one feature among seven. Sparlo starts at the office action. It maps each rejection, checks the examiner's characterization of every cited reference against what the reference actually discloses, and ranks the available arguments. The output is an analysis you argue from, not a draft you must reverse-engineer.

2. Published pricing. Sparlo's rates are on the pricing page: Attorney at $299 per seat per month, Practice at $249 per seat per month with a 3-seat minimum, Firm as a flat annual license with uncapped seats. DeepIP's pricing is not published on its site (verified August 2026; see next section).

3. Self-serve trial, no demo call. DeepIP's 14-day trial page is a lead-capture form; after submitting, "our team will get back to you shortly" (deepip.ai/free-trial, as of August 2026). Sparlo's trial is self-serve and can be run entirely on public documents. Nothing confidential is needed to evaluate it.

4. A governance layer built for client files. Sparlo runs on Anthropic's commercial API; nothing you enter trains a model, processed content is subject to 30-day deletion, and processing is US-only. Drafting and draft-review modes run at zero external calls. Every outbound prior-art query is logged per matter, so you can show exactly what left the building and for which client. A client consent pack and per-matter AI policy controls are included.

As of August 2026, DeepIP does not publish pricing on its website. There is no pricing page, and the trial and demo flows route to its sales team. One third-party comparison lists an estimated $350 to $420 per user per month for DeepIP (Patentext, updated July 2026). Treat that as an estimate, not a quote; DeepIP's own site displayed no prices when we checked.

Sparlo's pricing is published in full: $299 per seat per month (Attorney, self-serve), $249 per seat per month (Practice, 3-seat minimum, pooled usage), and a custom flat annual license for firms with seats uncapped. No call required to learn any of this.

All DeepIP entries verified against deepip.ai as of August 2026.

The USPTO addressed practitioner use of AI tools in its April 2024 guidance (89 FR 25609): "There is no prohibition against using these computer tools in drafting documents for submission to the USPTO. Nor is there a general obligation to disclose to the USPTO the use of such tools." Existing duties, including candor and reasonable inquiry, still apply to whatever you sign.

This section is informational only and is not legal advice.

Run the same office action through both tools and compare the analysis, not the marketing. For DeepIP, request the trial and wait for the team. For Sparlo, start the trial yourself with a published application and a public office action; no engagement letter, no NDA, no client data. Worked examples on real public patents are at sparloip.com/examples.