Docketing Data Validation via Dual Entry and Quarantine

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Inaccurate data in docketing systems leads to missed deadlines and negative consequences for law firms, highlighting the need for improved data quality management without increasing the burden on users.

Innovation Solution

A data validation and confirmation system that includes dual data entry interfaces, data storage, and validation checks to ensure data accuracy, with features such as double-entry validation, format and range checks, and administrative override capabilities to prevent incorrect data from being stored.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If data validation and verification procedures are implemented in docketing workflows, then data quality is improved, but user burden and workflow complexity increase

Engineering Contradiction:

Improvedata qualityVSAvoiduser burden

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system performs automatic validation of docketing data against predefined criteria (date formats, required fields, logical consistency) without requiring manual review by users. The validation portion autonomously compares entered data against validation rules and either approves or flags the data, eliminating the need for users to manually verify their own entries and reducing overall user burden while maintaining high data quality standards.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If manual data verification procedures are implemented, then data accuracy is improved, but time consumption and productivity decrease

Engineering Contradiction:

Improvedata accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system replaces manual mechanical verification processes with automated electronic validation. The validation portion automatically compares entered docketing data against predefined validation rules, date formats, and logical constraints, instantly determining data accuracy without requiring manual time investment. This substitution maintains high data accuracy while dramatically reducing the time consumption associated with manual verification procedures.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If multiple data entry interfaces are used for validation, then data reliability is improved, but system complexity increases

Engineering Contradiction:

Improvedata reliabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The validation portion serves multiple functions within a single integrated component: it validates data formats, checks required fields, verifies logical consistency, compares against existing records, and determines whether data meets acceptance criteria. This multi-functional approach achieves high data reliability through comprehensive validation while avoiding the complexity of separate dedicated components for each validation task, as all validation functions are consolidated within the single validation portion.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS9141608B2Data validation in docketing systems

Publication Date: 2015.09.22 PATRIX IP HELPWARE

AI summary

A data validation system and method for a fully or partially automated docket management solution. The system may require single-user double entry and/or double user data re-entry for validation and confirmation of data content. Un-validated/un-confirmed data may be quarantined or otherwise hidden from part or all of the rest of the docket management system.