Docusign, Inc.

Mark Douglas Belanger

Andrew James Ashlock

Ronald Hirson

An online document system provides a recommendation for one or more features within the online document system to an entity. The online document system accesses a set of feature training data to train a machine learning model. The set of feature training data may describe characteristics of entities associated with the online document system and historical activity associated with the entities' usage of the online document system's features. The machine learning model may be configured to identify a feature to recommend to an entity based on the entity's characteristics and history of using other features within the online document system. For example, data representing the entity's user accounts and use of an electronic signature feature is used by the machine learning model to identify a document authentication feature to recommend to the entity. The online document system may then provide the identified feature in a recommendation to the entity.

Machine learned feature recommendation engine in a digital transaction management platform

An online document system manages access to features within the online document system. The online document system may receive and fulfill a request from a first entity to sponsor a feature for a second entity. The online document system may determine an access policy to restrict access to the sponsored feature. For example, the access policy may include a requirement that the second entity only use the sponsored feature with the first entity. The first entity may provide a second access policy to the online document system to enforce. If the second entity satisfies requirements of the access policies, the online document system may then provide access to the second entity to use the sponsored feature.

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Woodinville, WA, United States of America

Mark Douglas Belanger