Docketing Data Import Verification

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Solution Overview

Problem

The manual transfer of docketing data from one patent management system to another is prone to errors due to typographical mistakes and format conversion issues, leading to inaccuracies and reduced reliability in patent management tools.

Innovation Solution

The implementation of a system that automatically verifies docketing data against public information and checks for logical inconsistencies, ensuring accuracy by comparing data from the source system with the target system and flagging any discrepancies for review.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual entry and format conversion are used to transfer docketing data, then the process is simple and flexible, but errors occur leading to reduced data accuracy

Engineering Contradiction:
Improvedata transfer processVSAvoiddata accuracy
Core Design Contradiction:
Ease of operationVSManufacturing precision

Solution Approach 1:

The patent replaces manual mechanical data entry with automated electronic data extraction and transfer systems. The system automatically extracts docketing data from source systems, converts it to appropriate formats, and imports it into target systems without human intervention, thereby eliminating typographical errors while maintaining operational simplicity

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary data verification system that acts as a mediator between source and target docketing systems. This intermediary automatically checks transferred data for consistency, validates formats, and flags discrepancies before final import, ensuring data accuracy without requiring manual verification

Inventive Principle:
Principle #24Intermediary (Mediator)

2Manufacturing precision

If automated verification and error checking are implemented, then data accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvedata accuracyVSAvoidsystem complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent implements preliminary automated verification checks that validate docketing data formats, consistency, and completeness before the data is imported into the target system. This preliminary action prevents errors from propagating and reduces the need for complex post-import correction mechanisms

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent incorporates automated feedback mechanisms that monitor the data transfer process, detect errors, and trigger corrective actions. The system provides real-time feedback on data quality metrics and automatically flags inconsistencies, allowing for streamlined verification without manual intervention

Inventive Principle:
Principle #23Feedback

3Device complexity

If manual data transfer processes are used, then the system remains simple, but typographical errors and format conversion issues occur

Engineering Contradiction:
Improvesystem simplicityVSAvoiddata reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent enables the docketing system to perform self-verification of transferred data automatically. The system checks its own data imports for consistency, validates formats against predefined schemas, and flags potential errors without requiring external manual verification, thereby maintaining simplicity while improving reliability

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10922344B2Importing docketing data
Publication Date: 2021.02.16 BLACK HILLS IP HLDG LLC
  • US10922344B2 patent drawing
  • US10922344B2 patent drawing
  • US10922344B2 patent drawing

AI summary

Methods and systems for importing docketing data are provided. The method includes retrieving, from a storage device, a first data structure that includes docketing information for a plurality of matters from a source docketing system; searching a publicly available database to retrieve information associated with the first matter; verifying that data in at least one field of the first matter matches data in a corresponding field of the retrieved information; automatically detecting existence of an error in the first matter based on a combination of two or more fields of the first matter; and storing the first matter in a target docketing system.