AI patent drafting support writes the parts of a specification that follow from decisions an attorney has already made (background, figure descriptions, embodiments, consistent terminology) and checks that every claim term is supported in the description. The claims themselves stay the attorney’s.
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The tools that generate an entire application from an invention disclosure are impressive in a demonstration and difficult in practice. Claim scope is the strategic core of a patent: too broad and it is anticipated, too narrow and it is designed around. A model has no view on the client’s competitors, the prosecution history of the field or the commercial embodiment that matters, and the attorney who has to rework a generated claim set saves little.
So we reverse the order. The attorney writes or settles the claims first. The system then drafts the description to support them, in the firm’s own style and from its precedents, and checks the result the way a careful colleague would: every claim term defined or supported, reference numerals consistent with the figures, no stray language that narrows the claims by implication.
settled by the attorney
house style, firm precedents
terms, numerals, limiting language
with the flagged issues listed
outside the system
Several commercial tools generate specifications, figure descriptions and boilerplate, and they suit firms happy to work inside a vendor platform. A custom system suits firms that want drafts in their own house style from their own precedents, confidential processing they control, and checks tuned to their practice areas. Either way, test on past applications before relying on it.
Patent offices generally allow practitioners to use AI tools, while making clear that the practitioner remains responsible for everything submitted, including its accuracy, and that confidentiality duties still apply. Some offices have issued specific guidance. Inventorship is separate: an inventor must be a natural person. How these apply to your practice is your professional judgement.
It retrieves from them rather than training on them by default: precedents are indexed so drafts can follow the firm’s structure and phrasing, and the source of each borrowed passage is shown. Fine-tuning on a firm’s corpus is possible but rarely needed, and it raises client-confidentiality questions that retrieval avoids.
What we built, what stage it is at, and a link to the live thing wherever there is one.
yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.
Website, backend and app assets for Sonora, a free AI sound-therapy app on iOS and Android published by Cognitive AI.
Brand, website, prototype, apps on five platforms, the AI backend and the algorithm-intelligence pipeline for Podswap, a social growth engine that runs without a human in the loop.
In closed beta: Roxy, a private AI assistant with permanent memory running on infrastructure the user owns. Brand, site, product, backend and conversational design.
Live at coherence.com: brand identity generated with AI agents we directed, the motion system and website for the group behind Sonora, AboutAI, WakeUp and MudShadows. Agent work remains in build.
Live at domainbooth.com for DomainBooth, a premium domain brokerage: a new animated mark, every page redesigned and rebuilt with designed mobile layouts, and a custom CMS for its sales record, featured names, press and enquiries.
We test on applications you have already filed, in your own house style.
30-minute technical call · no deck