Patent drafting has always been a tightrope walk. Strong claims, a specification that actually supports them, clean antecedent basis, figures that match the text. All of it has to come together under deadline pressure, and there is very little room for error. It also happens to be the part of prosecution where hours quietly disappear into repetitive, mechanical work.
The Pressure on Patent Teams in 2026
And the pressure is not easing. Innovators filed a record 3.7 million patent applications in 2024, up 4.9 percent on the prior year, according to WIPO's World Intellectual Property Indicators 2025. More volume, same quality bar. That squeeze is why prosecution teams across firms and in-house departments are moving to AI drafting tools to recover time on the mechanical parts of the work, and why nearly every team is now evaluating at least one of these platforms.
This guide compares five of them: IP Author, Solve Intelligence, DeepIP, Patlytics, and Rowan Patents. They take genuinely different approaches, and each fits a different kind of team.
A note before we begin: the comparison below is based on publicly available information as of July 2026. That includes company websites and documentation, published reviews, video tutorials, recorded demos and webinars, and information shared with us by practitioners. Product capabilities in this category change quickly, so we will keep updating this page as new information becomes available, and we welcome corrections or additional detail from any of the companies mentioned.
What to Evaluate in an AI Patent Drafting Tool
Before comparing individual platforms, it helps to be precise about what actually separates them. Eight criteria matter most in practice, listed roughly in order of how often teams discover too late that they should have checked.
Drafting does not end at filing, and this is where the platforms differ most sharply. Support for 102 and 103 prior art rejections is common. Support for 101 subject matter eligibility and 112 written description, enablement, and definiteness rejections is much rarer, because those arguments are harder to build and less template-driven. Also check double patenting: a response that ignores a ground of rejection is non-responsive and does not stop the response clock, which is a real abandonment risk, not a technicality. If a vendor's demo only ever shows a 103 response, ask why.
The tool should act only where you direct it. Editable AI strategies rather than take-it-or-leave-it output. Section-scoped edits rather than silent rewrites of the whole document. And a redline in the exported document that exactly matches what you reviewed on screen. That last one is a compliance issue under USPTO amendment format rules (37 CFR 1.121), not a convenience: if the export re-computes its own redline, what you file is not what you reviewed.
Drafting claims without prior art in front of you means drafting blind, then reworking the claims once the search report comes back days or weeks later. A platform with real search built in, covering patents, non-patent literature, and technical standards, collapses that loop: you see relevant art in near real time while the claim scope is still being decided, and the draft is grounded in it from the start. Ask what corpus the search actually runs against and whether NPL and standards are included, because a patents-only index misses the art that most often surfaces later in prosecution.
Some tools generate a complete draft from an invention disclosure: claims, specification, abstract, figures. Others assist with individual sections or clean up text you have already written. Both are legitimate, but know which one you are buying. Also check what the tool accepts as input: real disclosures arrive as Word files, PDFs, and slide decks full of images, tables, and diagrams, not clean text.
USPTO support is universal in this category. Real EPO support is less common, and the difference lives in the details: Article 84 clarity requirements, the EPO's stricter approach to added subject matter, different office action conventions. A tool tuned only for USPTO practice will produce European drafts that need reworking. Ask each vendor which jurisdictions the tool was actually built and tested for, not just which ones it accepts documents from. If a vendor's claims are vague, filing requirements are published directly by the USPTO and EPO.
Antecedent basis errors, broken claim dependencies, undefined terms, reference numerals that no longer match between figures and specification. These are the classic failure points of patent drafts, human or AI generated. Good platforms catch them during drafting rather than leaving them for the proofread. The best ones keep claims, description, and figures synchronized when something changes, so amending a claim or renaming a figure does not silently orphan references elsewhere.
For most inventions the figures drive the claim set, not the other way around. Check whether the tool generates figures with reference numerals intact, whether those figures survive into the exported Word document correctly numbered, and how it behaves on figure-heavy applications with dozens of drawings.
Treat SOC 2 Type II as the baseline here, not a differentiator. The questions that actually separate vendors: is your data excluded from model training, is there zero data retention at the AI-provider level, what happens to your data when you cancel, and where is it processed and stored.
The Tools Compared
The five platforms below are the ones prosecution teams most commonly shortlist for AI-assisted drafting in 2026. Assessments are based on the public information described above.
IP Author is built for patent attorneys and in-house IP counsel drafting and prosecuting under USPTO and EPO practice. It was built for patent attorneys by patent attorneys, with more than twenty years of patent analytics expertise and a full patent research database underneath it rather than a generic model bolted onto legal templates.
The platform covers the patent lifecycle end to end: inventor interview and disclosure refinement, integrated prior art search, drafting, office action responses, and downstream portfolio work including classification and evidence of use. It generates a complete first draft from an invention disclosure in around 15 minutes, with claims, specification, and auto-labeled figures produced together and kept consistent. Disclosures can arrive as Word documents, PDFs, or slide decks, and the platform reads the images, tables, and diagrams inside them, not just the text. Where flowcharts or block diagrams are missing, it generates them. For life sciences and chemistry matters, protein and peptide sequences can be pulled into claims, named, and auto-numbered during drafting. To see exactly how a disclosure becomes a filed-ready draft, step by step, explore how IP Author's generative AI patent drafting works.
Prior art search is integrated into the drafting flow rather than a separate product. It runs semantic search from the disclosure itself across patents, non-patent literature, and technical standards, and returns results in near real time, so claims are drafted with the art already in view instead of waiting on a search report. Results export as client-ready Word reports or Excel sheets, including masked versions that withhold filing dates and raw excerpts, so findings can go to clients or outside counsel without oversharing.
Prosecution coverage is broader than most tools in this comparison. Office action support spans 102 and 103 prior art rejections, 101 subject matter eligibility, 112 written description, enablement, and definiteness, and double patenting, where the platform always produces a traversal strategy, whether that is a terminal disclaimer or a patentable distinction argument. The EPO office action workflow runs at parity with the US flow rather than as a reduced add-on. Chemistry and life sciences matters are supported throughout, including SMILES structure handling in office actions and exports.
Attorney control is a design principle rather than a footnote. The platform shows its analysis of the disclosure before drafting begins, so the attorney can correct the AI's understanding of the invention before a single claim is written. AI-generated strategies are editable, and attorneys can add their own. The drafting assistant acts only on the section you are working in. And the exported Word document reproduces exactly the redline reviewed on screen, in line with USPTO amendment format rules under 37 CFR 1.121.
On security: SOC 2 Type II certified, zero data retention guarantees at the AI-provider level, customer data never used for model training, and multi-factor authentication as standard. Large enterprise IP teams across semiconductors, consumer health, energy, and industrial manufacturing run on the platform, with a Customer Advisory Board informing the roadmap.
Solve Intelligence is a browser-based platform covering the patent lifecycle from invention disclosure through drafting, office action responses with case law citations, and claim charting through its Charts tool. Non-patent literature search is not yet available. It handles specialized inputs including figures, chemical structures, and biological sequences.
The platform is built around a chat-style, prompt-driven editor. Some users find that flexible, while published comparisons describe it as interrupting drafting flow, and G2 reviews note the tool is less efficient on mechanical inventions than on software and process patents.
DeepIP began as a Microsoft Word add-in and that remains its center of gravity: attorneys draft inside the environment they already use, though the platform is now also accessible in the browser and through IP management systems. It positions itself as technology-agnostic across software, mechanical, life sciences, and chemistry, with support across USPTO, EPO, and several other patent offices.
It is SOC 2 Type II and ISO 27001 certified with a zero data retention policy. Published reviews note that custom job creation and template optimization take real training time.
Patlytics covers drafting, prosecution, invalidity analysis, claim charting, infringement detection, and portfolio management. Its disclosure workflow includes automated prior art searches and patentability assessments, and it can process source materials in mixed formats including technical documents, slide decks, figures, and images.
Customer-reported results describe reductions in routine drafting time, and the platform holds SOC 2 Type 2, ISO 27001, ISO 42001, and GDPR compliance. Published comparisons note two trade-offs: the platform began as a patent intelligence system with drafting added as a module rather than the core, and its guided workflow, while reducing prompt engineering, constrains attorneys who prefer to draft in their own order. A system this wide also typically means a longer setup and integration process than a single-purpose drafting tool.
Rowan Patents, now part of Clarivate, is a desktop application built around an integrated drafting environment: claims, specification, and drawings in one tool, with automatic numbering of claims, figures, and parts, and terminology kept consistent across the application through its Terms Manager. A 2024 upgrade added office action response functionality to the same desktop environment. Its GenAI assistance is task-based, drafting select parts of the application, with a choice of local or cloud-based language models, which appeals to firms that want tight control over where AI runs.
The trade-offs sit on the AI and jurisdiction side. Published comparisons describe its AI-driven text generation as less advanced than the newer platforms, its compliance features center on USPTO formatting with no equivalent tuning for EPO practice, and prior art capability is limited to a post-draft analytics feature rather than search integrated into drafting. It is a drafting environment first, with AI assistance added, rather than an AI platform built from the ground up.
Where Practitioners Remain Skeptical
Talk to patent professionals about AI drafting, on legal forums, at bar association sessions, in practitioner reviews, and the same three doubts come up again and again. All three deserve a straight answer rather than a dismissal.
The first is output quality. Plenty of attorneys have tried a generic AI draft that read as plausible and then required so much rework that the time savings evaporated. The real test is not whether a tool produces text. It is whether the output is grounded in the actual disclosure and the actual prior art, and stays internally consistent across claims, specification, and figures.
The second is loss of control. A tool that rewrites sections you did not ask it to touch, or exports a document that differs from what you reviewed, creates more risk than it removes. That is exactly why section-scoped editing and filing-faithful redlines sit near the top of the criteria above instead of being treated as nice-to-haves. As one practitioner put it on a recent panel, AI should accelerate everything leading up to attorney judgment without replacing the judgment itself.
The third is confidentiality. Attorneys are right to ask whether invention disclosures fed into a platform end up training someone else's model. It is a question with a factual answer, and any vendor worth shortlisting will put that answer in writing.
Fair doubts, all three. But notice that none of them is really an argument against the category. Each one is an argument for checking specific tools against specific criteria, because the platforms genuinely do not all behave the same way.
Feature Comparison
A "Yes" means the capability is confirmed in the vendor's published materials as of July 2026. "Not published" means the vendor's public materials do not state it either way.
| Feature | IP Author | Solve Intelligence | DeepIP | Patlytics | Rowan Patents |
|---|---|---|---|---|---|
| Full application drafting from disclosure | Yes | Yes | Yes | Yes | Partial |
| Non-text disclosure input (images, tables, slides) | Yes | Yes | Not published | Yes | Not published |
| Prior art search: patents | Yes | Yes | Yes | Yes | Limited |
| Prior art search: non-patent literature | Yes | No (roadmap) | Yes | Not published | No |
| Prior art search: technical standards | Yes | Not published | Not published | Not published | No |
| Figure generation with reference numerals | Yes | Yes | Limited | Yes | Manual |
| Office action responses (102/103) | Yes | Yes | Yes | Yes | Yes |
| Office action responses (101 and 112) | Yes | Not published | Not published | Not published | Not published |
| Double patenting rejection handling | Yes | Not published | Not published | Not published | Not published |
| EPO office action workflow | Yes | Yes | Yes | Not published | No |
| Chemistry / SMILES structure support | Yes | Yes | Yes | Not published | Not published |
| Editable AI strategies before drafting | Yes | Yes | Yes | Yes | Task-based only |
| Works inside Microsoft Word | No | No | Yes | No | No (desktop) |
| SOC 2 Type II | Yes | Yes | Yes | Yes (Type 2) | Not published |
| Data excluded from model training | Yes | Not published | Yes | Yes | Local model option |
One caution on reading the table: "Not published" is not the same as "does not have it." If a blank cell matters to your decision, ask the vendor directly. And whatever any comparison says, ours included, the claims worth trusting are the ones you verify in a live demo on one of your own matters, not a canned example.
Frequently Asked Questions
Final Thoughts
AI is changing how patents are prepared. Work that used to consume days, organizing invention disclosures, searching prior art, drafting applications, responding to office actions, can now be substantially accelerated while producing more consistent documentation. The tools compared above represent the strongest options available in 2026, and each has earned its place with a genuinely different approach. The right choice ultimately depends on your workflow, your filing mix, and whether your priority is drafting, prosecution, analytics, or complete lifecycle management.
Here at IP Author, we are focused on the part of that lifecycle where patent professionals spend most of their hours: turning disclosures into filed applications and office actions into filed responses, under USPTO and EPO practice. Our platform combines generative AI patent drafting, integrated prior art search across patents, non-patent literature, and technical standards, and office action responses covering 102, 103, 101, 112, and double patenting rejections, and at every step the attorney stays in control: strategies are editable, edits are scoped to the section you are working in, and the document you file is exactly the one you reviewed. That approach is why large enterprise IP teams across semiconductors, consumer health, energy, and industrial manufacturing run their prosecution work on IP Author.
The best way to evaluate any of these tools is the same: bring one of your own recent matters, a real disclosure or a real office action, and judge the output against what your team would have produced by hand.