Patent ID: 11907324
Assignee: DOCUSIGN, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
accessing, by one or more processors, an online document;
applying, by the one or more processors, a machine-learned model to the online document to identify a plurality of fields of the online document, each field of the plurality of fields configured to receive a corresponding answer, wherein applying the machine-learned model comprises, for each field of the plurality of fields, performing natural language processing on text of the online document to identify a field type of the field and classifying the field into one of a set of categories based on the identified field type;
for each category of the set of categories, generating, by the one or more processors, a form web page comprising one or more questions corresponding to each field of the plurality of fields classified as the category;
generating, by the one or more processors, a workflow, wherein generating the workflow comprises combining the generated form web pages;
modifying, by the one or more processors, the generated workflow to generate a modified generated workflow, wherein the modifying comprises adding one or more additional form web pages to the generated workflow based on an answer provided by an entity completing a generated form web page of the generated form web pages, wherein the answer is responsive to a field of the plurality of fields identified by the machine-learned model, and wherein the one or more additional form web pages comprise an additional field not included in the plurality of fields identified by the machine-learned model; and
in response to the entity completing the modified generated workflow, generating, by the one or more processors, a completed document based on the online document and the answer provided by the entity, the completed document including the additional field not included in the plurality of fields identified by the machine-learned model.