Structured Analysis Tool for Patent Docketing Anomaly Detection
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Solution Overview
Problem
Current docketing systems in business environments face challenges in efficiently managing large numbers of deadlines and tasks, often requiring manual sorting and lacking automated tools for structured analysis and response management in patent prosecution contexts.
Innovation Solution
A computer-implemented data display and recommendation method using a structured analysis tool to analyze datasets, identify anomalies, provide response options with success probabilities, and offer recommended actions, along with automated document generation for user interaction, enhancing workflow management and deadline-driven project management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual sorting and tracking of deadlines and tasks is used, then flexibility and adaptability are maintained, but productivity and time management efficiency deteriorate
Solution Approach 1:
The system automatically tracks deadlines, generates reminders, and monitors task progress without requiring manual intervention. The docketing system self-manages the tracking and monitoring functions that would otherwise require human effort, thereby improving productivity while keeping the interface simple for users.
Solution Approach 2:
Manual mechanical processes of tracking and monitoring deadlines are replaced with automated electronic systems. The docketing system uses computer-based algorithms to track deadlines, generate reminders, and monitor progress, substituting manual administrative tasks with automated digital processes.
2Measurement precision
If automated structured analysis tools are introduced, then productivity and analysis accuracy are improved, but device complexity and initial setup requirements worsen
Solution Approach 1:
The analysis tool is divided into distinct functional modules that handle different aspects of deadline analysis separately. Each module processes specific data types and performs targeted analysis functions, making the overall system more manageable and easier to implement while maintaining high measurement precision through specialized processing.
3Reliability
If comprehensive tracking of multiple deadlines and tasks is implemented, then reliability of deadline management is improved, but loss of time for manual sorting and management increases
Solution Approach 1:
The system continuously monitors and tracks deadlines, tasks, and progress without interruption. Automated reminders and notifications are sent at appropriate intervals, and the system continuously updates status information, ensuring continuous useful action that maintains high reliability while eliminating manual sorting time.
Data Source
AI summary
Various embodiments disclosed relate to a method of structured analysis management using a data drive software tool. The present disclosure includes a computer implemented patent prosecution workflow management method including: receiving an indication of a dataset to be transformed; analyzing the dataset with a structured analysis tool to determine state data contained in the dataset, wherein the dataset represents one or more states of a process; using the determined state data of the dataset to display a plurality of information on a user interface related to the state data; determining and displaying one or more unexpected states of the process, wherein unexpected states comprise an anomaly with respect to various components of the dataset; providing one or more options for response based on the state data; providing a probability of success for each of the one or more options for response; providing a recommendation of which of the one or more options to select; providing one or more pending requirements for the dataset, each of the one or more options for response correlating to the one or more pending requirements; receiving an indication of a selection of the one or more options for response; and providing a document for the response for user interaction.