Content Server Disk Image for Electronic Discovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional electronic discovery tools are inefficient, ineffective, and costly due to their inability to accurately and efficiently identify and process large volumes of irrelevant documents, leading to significant human review burdens and increased costs.
Innovation Solution
A content server with built-in high-performance electronic discovery functionality that generates a statistically representative disk image of documents, allowing for efficient batch processing and selection of a smaller, yet representative, set of documents for review, thereby reducing the need for extensive human review of irrelevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional electronic discovery tools are used to search and identify potentially responsive documents, then documents can be found and copied, but the process becomes expensive and time-consuming due to large volumes of irrelevant documents requiring human review
Solution Approach 1:
The system creates a disk image (copy) of the collection of documents that meets the search criteria. This copy is then provided to the attorney for review, allowing the attorney to review a manageable representation of the data without requiring review of every individual document in the original large collection, thus improving efficiency and reducing time loss
Solution Approach 2:
The system changes the parameter of document representation by creating a disk image that encapsulates the collection in a format optimized for review. This transforms the raw data into a review-friendly format, enabling efficient human review while maintaining the integrity of the search results
2Reliability
If the entire document collection is reviewed to ensure accuracy, then completeness is improved, but the cost and time required for review increases significantly
Solution Approach 1:
The system creates a disk image that serves as a representative copy of the document collection. This copy maintains the accuracy and completeness of the search results while presenting them in a manageable format that reduces the effective volume of documents requiring review, thus balancing reliability with quantity reduction
Solution Approach 2:
The system segments the large document collection into a manageable disk image format that can be efficiently reviewed. This segmentation allows the collection to be processed in a way that maintains accuracy while reducing the immediate review burden, enabling attorneys to review documents more effectively
3Productivity
If conventional tools are used to process large volumes of documents, then data collection capability is maintained, but the system becomes inefficient and costly due to lack of advanced content management functionality
Solution Approach 1:
The system integrates advanced content management server functionality with electronic discovery capabilities, creating a multi-functional platform that can handle both content management and e-discovery operations. This universality improves productivity by eliminating the need for separate specialized tools while maintaining the required data collection and processing capabilities
Data Source
AI summary
Responsive to a request from a user device, a content server may perform an electronic discovery function. The request may include information on a quantity of data objects desired from a collection of data objects stored in a repository. Objects stored in the repository may be managed by the content server. The content server may determine a number of batches and process the collection of data objects into batches, each having a batch size. An efficient selection process may be determined and utilized in selecting data objects from each of the batches such that a total number of data objects selected from the collection is not less than the quantity of data objects desired. The content server may make a disk image of the selected data objects and communicate same to the user device over a network.