Rowan Analytics Reports

What do you get when running the automated review?

Dave Billmaier avatar
Written by Dave Billmaier
Updated over a week ago

Rowan Analytics Reports Overview

Rowan analytics generates two kinds of reports.

An overview that includes: 

  • predictive analytics

  • an overview of potential 112-type issues

  • a drawing parts list

  • a claim tree

And a Word document that provides in-context identification of the possible 112 issues.

Predictive Analytics Report

Designed to help inform strategy and set expectations, this report provides:

  • art unit predictions with art unit stats such allowance rates and average number of Office actions. (available when reviewing draft patent applications)

  • Examiner statistics (available when reviewing Office action responses and published documents)

  • Optional 101 risk analysis, measuring similarity to previous applications rejected under this statute for being abstract

  • Optional 102/103 analysis, providing the top ten most semantically similar pieces of US art

Note: the 101 and 102/103 analyses are hidden. To view, click the "show" button in each area. 

Overview of Potential 112-type Issues

This section of the report provides a listing of the potential antecedent basis, claim support, claim order and formatting issues, as well as figure parts list, complete with number of uses and potential inconsistencies. 

Parts List
Rowan analytics generates a list of all numbered parts referenced in the specification.

The Parts List Bot will look for possible inconsistencies in terminology used for each part. 

For instance, in the image below, Part 110 is referenced eight times with some variation of streaming server.  The Bot recognizes those variations as being similar enough to not be an issue.  However, the Bot also picked up two uses of "content sharing platform" for part 110, which it deemed are different enough to flag as a potential issue.

Claim Tree
Rowan analytics also analyzes the claim structure and provide a claim tree to help ensure your dependencies are as intended.

Export Overview Report

Click the “Export to PDF” button to download a PDF of this report. 

In-Context Comments in Word (DOCX)

Much like a human reviewer adds comments to a document, Rowan analytics Bots
insert in-context comments on potential issues and relative claim support right into your Word (DOCX) document.  It uses Word's built-in review feature — no plug-ins or extra installations required.

Click the "Get file" button in the upper right to generate this report.

 It will download to your default download location.

Open the Word document. and use the review feature to move through comments or scroll through the document to see the comments.

Hover over comments in the sidebar for a snapshot of the referenced section and click to visit the section.

Antecedent Basis Comments
The Antecedent Basis Bot will comment when it believes a term has already been introduced or when it can't find a proper introduction. 

Claim Support
The Claim Support Bot will comment on concepts in the claim that it can't readily identify as supported in the specification.  Optionally, you can have the Bot comment on every clause in the claims for its relative support in the specification.  

Before pressing "Get file", select the "Include relevant paragraphs?" check box above the orange box.  

If the Bot found support, it will list the top four supporting paragraphs in rank order.
Clicking on the paragraph number will scroll to that paragraph in the specification.

The Bot will also identify claim concepts it believes are relatively poorly supported, or unsupported.Figure Reference CommentsThe Figure Reference Bot comments on possible inconsistencies references to figure parts.  

The comment will list the number of times the part was referred to as highlighted, and will list other names for that part number, the number of times those names were used, and the paragraph locations. Clicking the paragraph numbers will show the reference in context.

Claim Order and Format Comments
This Bot will comment where there may be issues with claim numbering, punctuation and other formalities.  In some cases, the Bot will suggest the correction — e.g. on punctuation. You can accept or reject the Bot's suggested change.  

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