Docusign, Inc.

Adobe, Inc.

Mangesh Bhandarkar

David Minoru Hirotsu

Dia A Abulzahab

Shrinivas Kiran Kaza

Taiwo Raphael Alabi

Kim Cuong Phung

Ashwath Mohan

Saul Adams Aguilar

Jacob Scott Mitchell

Christina Silva Hamlin

Michael Wayne Fountain

Isaac John Steiner

William Gerard Wetherell

Megan Elizabeth Schwarz

Aylin Selcukoglu

Brent Weston Robinett

Eric M Zenz

Sedine Jei San Agustin

Frederic Thevenet

Duane Robert Wald

Iqra Anjum

David Rudi Sherry

Li Xu

Andrew James Ashlock

Nipun Dureja

Ellis David Berner

Jun Gao

Yiting Zheng

Jerome Levadoux

Madhubala Rawat

Paul C Anderson

Sarika Phatak

Robert Sherwin

Vasudevan Sampath

Gustavo Both Bitdinger

Mark Ramasco

Mark Spencer Seabourne

Micheline Chagniot

Claire Marie Small

Erica Berg

Celine Beck

Travis Ortlieb

Thierry Bonfante

Robert Michael Johnson

Samuel J Cicero

Santo Effendi

A highlighting engine modifies a target document by identifying and highlighting a set of text passages. The highlighting engine receives a training set of data including documents that each include a set of highlighted text passages. The highlighting engine trains a machine learned model using the training set of data. The trained machine learned model, when applied to subsequent identified candidate sets of text passages within the target document, identifies the set of text passages to highlight. The highlighting engine modifies the target document with the highlighted set of text passages and provides the modified target document for display via an interface. The highlighted set of text passages enable a user to quickly read and understand the target document.

Automated document highlighting in a digital management platform

A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.

Automatic revisions to document clauses based on clause type

Prediction and notification of agreement document expirations

Systems and methods are disclosed herein for generating and modifying a workflow comprising a series of webpages based on an online document. A document management system accesses an online document selected by a user and classifies each field of the online document into one of a set of categories. For each category, the system generates a form webpage comprising questions corresponding to each field classified as the category and combines the generated webpages to create a workflow. The system may modify the workflow by generating and adding one or more additional form webpages based on one or more answers provided by an entity completing the webform page. In response to the entity completing the modified generated workflow, the system generates a completed document based on the online document and the answers provided by the entity.

Guided form generation in a document management system

A system and a method are disclosed for enabling pictorial content to be added to a secure document. In an embodiment, a secure document tool receives a request, from an administrator of the secure document, to enable modification of a region of the secure document with an addition of pictorial content, the secure document configured to prevent modification of contents of the secure document by a signer, the secure document enabled to accept a signature on the secure document by the signer. The secure document tool receives, from the signer, a command to add pictorial content to the region, and responsively adds the pictorial content to the region. The secure document tool receives from the signer, a signature on the secure document, and responsively disables the secure document from accepting further modifications.

Integration of pictorial content into secure signature documents

An intended signatory receives an electronic signature request that includes instructions for accessing both an unsigned document and server functionality that enables the intended signatory to electronically sign the document. To gain such access, the intended signatory must pass username and password authentication, which serves as a first authentication factor. After the intended signatory is authenticated, he/she can access the unsigned document. However, once the intended signatory is initially authenticated, it can be assumed that his/her work session is subject to being misappropriated by an unauthorized user. Thus, when a command to apply an electronic signature to the document is invoked, the would-be signatory must pass keystroke biometrics authentication, which serves as a second authentication factor. This second authentication is temporally separated from the first username/password authentication, but it occurs at substantially the same time that the electronic signature is to be applied to the document.

Electronic signature framework with keystroke biometric authentication

Systems and methods provide for efficiently obtaining biometric signatures for electronically signing digital documents. A digital document having a signature field is provided for display on a general computing device. An instruction to obtain a biometric signature from a mobile computing device is received on the general computing device. A remote signing request is sent to a remote server device. The request can include, among other things, an electronic contact address associated with the mobile computing device. Responsive to receiving the request, a Uniform Resource Identifier (URI) is generated, referencing a dynamic application for obtaining the biometric signature on the mobile computing device. The remote server device obtains the biometric signature via the dynamic application or an incoming electronic message from the mobile computing device via the electronic contact address. The biometric signature is communicated to the client device for association with the signature field of the digital document.

Mobile signature embedded in desktop workflow

Growing community of inventors

Los Altos, CA, United States of America

Mangesh Bhandarkar