Patent AI Insights is the expert resource for AI-powered patent prosecution, maintained by Roger Hahn, USPTO Registered Patent Attorney (Reg. No. 46,376) and founder of ABIGAIL. Topics include Office Action response strategies, prior art analysis, examiner intelligence, claim amendment techniques, and comparisons of AI patent tools.
Prior Art Search Inside Application Drafting: The Search, the Report, and the References You Keep
Searching before you file and searching again at the IDS should not be two separate jobs. Here is how the search works inside a drafting session, what the $49 report contains, and what happens to the references afterwards.
The search itself
The search runs from inside the drafting session and fans out to several offices at once: the USPTO open data API, the EPO, WIPO, and the JPO, plus your own saved corpus. Results come back aggregated, deduplicated and ranked, along with a list of any office that failed on that run. You see the partial failure rather than a quietly shorter result set.
It requires at least one CPC or IPC class. Unbounded keyword search is not permitted on this surface, and that is deliberate. A classification step reads your invention disclosure and proposes the classes, so the requirement does not land on you as homework.
The rest of the inputs are the ones you would expect: the natural-language query, an optional list of jurisdictions, an optional earliest publication year, optional phrases, and a result limit. Run it, read it, adjust the classes or the phrases, run it again as the claims firm up.
The references go into your own library
Where they live
Saved references are embedded by an in-house model and stored in your own tenant-scoped collection. They are never sent to a third-party API. There is no tenant argument on the tool at all, so a reference cannot be pulled into the wrong account by asking for it.
You can search that library on its own, and you can cite a saved reference straight into the conversation.
The $49 search report
The patentability search report renders as a .docx, and the download is a paid export at $49 per search report. What it contains is worth being precise about, because this is where a search tool is most tempted to invent:
- The references are your saved rows for that session, not a fresh result set
- The invention title comes from your own saved disclosure, verbatim
- Fields the underlying record does not carry are left out, not filled in
- A section with no saved data renders a neutral placeholder, never invented prose
- The report is re-rendered on demand at download time, not served from a stale file
The other prices in this workflow: a new application draft export is $250, and an IDS is $9. All of them are on the pricing page.
The references come back at the IDS
When you later build an IDS, the candidate list is the union of three sources: the art the examiner cited in office actions, the references already linked to that application, and the library you built while drafting. Self-citations are dropped and placeholder-title rows are flagged as unresolved.
One honest limitation. The references you saved during a pre-filing drafting session are scoped to your account, not to an application number, because at that point there is no application number yet. So each candidate carries a text-similarity score computed against the target application claims, and you choose. The work you did before filing is there when you need it, but the picking is still yours.
Search before you draft
New accounts start with $25 in credits. Start a drafting session and run the search.
In-house team? See the corporate overview. Or go straight to sign-up.
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