Mobile Communication Data Linking for Context-Rich eDiscovery Review
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Solution Overview
Problem
Traditional eDiscovery software is inadequate for processing data from mobile communication devices, as it fails to effectively organize and present interrelated records, such as text messages and social media communications, in a user-friendly manner.
Innovation Solution
A system and method that receives, analyzes, organizes, and presents data from mobile communication devices, allowing users to navigate and interact with the data by identifying and linking related records across different applications, and providing features like tagging, searching, and 'story telling' to contextualize the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional eDiscovery software is used to process mobile device data, then basic data retrieval is possible, but the software fails to effectively organize and present interrelated records
Solution Approach 1:
The patent merges multiple types of mobile device data (messages, calls, social media, photos) into a unified case structure where all records are interconnected through relationships. This allows the software to present data in an organized manner while preserving contextual relationships between different types of records across multiple applications.
Solution Approach 2:
The patent adds a dimensional layer of organization by creating hierarchical structures (cases containing data containers containing individual records) and establishing relational connections between records. This multi-dimensional organization system allows users to navigate and understand data relationships without losing contextual information.
2Adaptability or versatility
If traditional discovery software treats each file as a stand-alone record, then simple file processing is achieved, but interrelated mobile records cannot be effectively connected
Solution Approach 1:
The patent creates a universal data container structure that can hold and organize multiple types of records (messages, calls, social media posts, photos) from different mobile applications within a single case. This multi-functional approach allows the software to adapt to various data types while maintaining consistent organization and relationship management.
Solution Approach 2:
The patent segments mobile device data into discrete, manageable units called records that are contained within data containers organized by case. Each record represents a discrete piece of information (individual message, call log entry, photo) that can be independently processed while maintaining connections to other related records through the hierarchical structure.
3Loss of information
If data is presented without contextual relationships, then simple display is achieved, but understanding of communication threads and user activities is lost
Solution Approach 1:
The patent implements a review system where users can navigate through organized records within cases and data containers, with the ability to see relationships between records. The system provides feedback through the structured organization that reveals contextual connections, allowing users to understand communication threads and user activities while maintaining ease of navigation through the hierarchical structure.
Data Source
AI summary
A system and method is provided for receiving, analyzing, organizing and presenting data stored on a mobile communication device. In one embodiment of the present invention, the data is organized by application-type and is searchable. In one embodiment, the system may be configured to generate first and second search results from a first search term entered by a reviewer, where the first search result includes at least a first record from a first application, the second search result includes at least a second record from a second application, and both records are displayed to the reviewer at the same time. In performing the search, the first record should match the first search term and the second record should match a second search term, where the second is identified by the system and is related to but different from the first search term.