Chronological Case File Organization via Automated Date Extraction
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Solution Overview
Problem
Existing case management systems require significant manual input for reviewing, annotating, and organizing documents, especially for creating chronological timelines, and they lack a secure, automated platform for maintaining documents in an easily reviewable format.
Innovation Solution
A system and method that utilize a server to automatically transform documents into machine-readable and image-based formats, suggesting dates for chronological organization, and providing secure, centralized access while minimizing user input through automated document organization and timeline creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review and organization of documents is performed, then document importance and chronology can be determined, but significant time and effort are required
Solution Approach 1:
The system enables documents to organize themselves automatically through optical character recognition (OCR) technology that extracts text and dates from uploaded documents, then autonomously sorts them into chronological order without requiring manual review, thus resolving the contradiction between organization accuracy and time consumption
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated electronic system that uses OCR and date extraction algorithms to automatically organize documents chronologically, eliminating the time-consuming manual labor while maintaining organization precision
2Productivity
If electronic database platforms are used for document management, then document review speed increases, but manual input and organization effort remain high
Solution Approach 1:
The system automatically performs document organization by extracting dates through OCR and chronologically sorting documents without requiring user intervention, thereby maintaining high productivity while eliminating manual organization effort
Solution Approach 2:
The system performs preliminary automatic organization of documents into chronological order upon upload, so that when users review documents, they are already sorted and ready for immediate use, reducing both manual effort and review time
3Measurement precision
If manual creation of chronological timelines is performed, then accurate document sequencing is achieved, but the process is time consuming and effort intensive
Solution Approach 1:
The patent replaces manual chronological sequencing with an automated system that uses OCR to extract dates and algorithms to sort documents in chronological order, achieving both high chronological accuracy and rapid timeline creation
Solution Approach 2:
Documents automatically sequence themselves through date extraction and chronological sorting performed by the system without human intervention, maintaining accuracy while dramatically increasing timeline creation speed
4Ease of operation
If centralized document storage is implemented, then secure access and document organization are improved, but security risks during document transfer increase
Solution Approach 1:
The system performs preliminary automatic organization and processing of documents before they are stored centrally, so that documents are already sorted and processed, reducing the time they are vulnerable during transfer and improving both security and operational efficiency
Data Source
AI summary
A case management system and method of managing and organizing documents within the case portfolio for efficient review includes data that is dynamically updated to result in a final report that includes real-time updated data. The system collects and displays the data on a secure portal for interactivity with a professional stakeholder reviewing the data. The data is automatically transformed into different formats when received, including a standard text-and-image file, a text-only file, and an image-only file, thereby allowing the reviewing stakeholder to interact with the data in multiple ways. As the system translates the document into different viewable formats, the system automatically scans the data within the document for important information, such as dates, times, names, locations, and other important pieces of information. The system then assigns date-and-time associations with each document, and automatically organizes the documents in a chronological order on a display.


