Trademark Overview
On Monday, July 14, 2025, a trademark application was filed for EVERYDOC with the United States Patent and Trademark Office. The USPTO has given the EVERYDOC trademark a serial number of 99281569. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Monday, July 14, 2025. This trademark is owned by Xerox Corporation. The EVERYDOC trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Downloadable software featuring artificial intelligence, machine learning, optical character recognition, and natural language processing for automating business processes in the nature of intelligent document processing, document compilation, classification, systematization, management, validating, and summarizing, and data content mapping, data analytics, data extraction, data mining, data management, data processing; Downloadable software featuring artificial intelligence, machine learning, optical character recognition, and natural language processing for automating business processes in the nature of automatic document creation, document editing, automation, and management, and compilation and systematization of data
Software as a Service (SaaS) featuring artificial intelligence, machine learning, optical character recognition, and natural language processing for automating business processes in the nature of intelligent document processing, document compilation, classification, systematization, management, validating, and summarizing, and data content mapping, data analytics, data extraction, data mining, data management, data processing; Software as a Service (SaaS) featuring artificial intelligence, machine learning, optical character recognition, and natural language processing for automating business processes in the nature of automatic document creation, document editing, automation, and management, and compilation and systematization of data