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DeepIP
AI patent drafting and prosecution platform that works inside Microsoft Word, used by law firms and in-house patent teams.
Patent prosecution teams at law firms and companies that draft in Word and want help with specifications, figure descriptions, and office action responses.
IP litigators who mainly need infringement claim charts, or solo practitioners who want a small published monthly price.
Verdict
DeepIP is an AI patent platform with offices in New York and Paris, started in 2024 by the founders of Kili Technology, a data labeling company. Patent attorneys use it as a Word add-in to turn invention disclosures and claims into full applications, write figure descriptions and summaries, and draft responses to office actions in their own firm's style. It is worth a look because so much patent work still happens in Word, and DeepIP brings the AI to that document instead of asking attorneys to move their drafts somewhere else.
Score Breakdown
How DeepIP scores in the categories that matter to its buyers.
Pricing
DeepIP does not publish prices. Firms start with a free trial and then get a quote.
Seats are sold to law firms and in-house patent departments, with drafting, prosecution, litigation, and portfolio features. It runs on U.S.-based Microsoft Azure servers with SOC 2 Type II and ISO 27001 certifications.
The Field at a Glance
How DeepIP compares with other AI patent & IP vendors we reviewed, by Overall Score and relative typical engagement cost.
DeepIP scores 7.4 in AI patent & IP, under IPRally (7.6) and Solve Intelligence (7.6), and level with Patlytics (7.4). Relative cost lands upper for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Drafting applications from disclosures | Strong | Generates claims, specifications, and abstracts in Word. |
| Figure descriptions and summaries | Strong | Removes hours of conversion work on drawing-heavy applications. |
| Office action responses | Strong | Analyzes rejections and cited art with quoted citations. |
| Matching firm style and templates | Mixed | Highly configurable, but setup takes attorney time. |
| Infringement and invalidity claim charts | Mixed | Litigation features exist but are not the core product. |
| Solo practitioners on a budget | Weak | Quote-based seats aimed at firms and departments. |
Who it’s for
Good fit
- Patent prosecution groups at law firms
- In-house patent teams drafting in Word
- Firms with drawing-heavy applications
Poor fit
- Litigation teams focused on claim charts
- Solo attorneys who want a monthly plan
- Teams that draft outside Word
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“Having to spend 30 minutes or an hour converting the claims into summary paragraphs, or writing a brief description for each drawing... when you have 5–10 drawings it's not that big of a deal, but if you have an application with 200 pages of drawings, it adds up.”
“The main thing is just getting a lot of that tedium out of the drafting process so that I can focus on the actual intellectual work of writing an application.”
“It writes a decent first draft of the spec, but I still read every paragraph before it goes out. A couple of times it described a figure in a way that didn't match the drawing, and I only caught it on review.”
Methodology
This page is an independent evaluation of DeepIP for buyers comparing options in ai patent & ip. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. DeepIP did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for ai patent & ip)
- Patent drafting in Word
- Prosecution & office actions
- Firm style & template reuse
- Small-firm affordability
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
DeepIP is graded here as ai patent & ip. Criteria scores can move as more review volume and product checks are added.