Automated Dataset Publishing System for Secure E-Discovery
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Solution Overview
Problem
Existing systems for dataset collection, review, and analysis in electronic discovery and regulatory processes are time-consuming and error-prone due to reliance on manual human actions, often resulting in omitted or improperly reviewed datasets, especially when publishing sensitive data across secure and non-secure environments.
Innovation Solution
A system and method for publishing datasets that includes a core gather module to receive requests for dataset publication, select datasets based on criteria, and publish them to internal or external environments, utilizing a cloud-based computing environment for continuous data collection, processing, and analysis, with secure protocols to maintain data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual human actions are used for dataset collection, review, and publishing, then flexibility and control are maintained, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system performs self-service through automated dataset collection, review, and publishing operations. The automated review system evaluates datasets without human intervention, selecting relevant datasets based on predefined criteria and automatically publishing them to appropriate environments, thereby eliminating manual errors and reducing time consumption.
Solution Approach 2:
The patent replaces manual mechanical review processes with an automated electronic review system. The system uses computational algorithms to review, select, and publish datasets automatically, substituting human manual actions with automated electronic processes that are both faster and more reliable.
2Ease of operation
If datasets are published to external environments outside secured zones, then accessibility and utility are improved, but data security and integrity risks increase
Solution Approach 1:
The system introduces an automated review system as an intermediary between the secured zone and external environments. This intermediary automatically evaluates datasets, applies security criteria, and selectively publishes only those datasets that meet predefined security and relevance standards, thereby enabling external accessibility while maintaining data security through automated filtering and control.
3Quantity of substance
If comprehensive dataset collection is performed across multiple sources, then data completeness is improved, but complexity of management and review increases
Solution Approach 1:
The automated review system performs multiple functions within a single integrated process: it collects datasets from multiple sources, reviews them against predefined criteria, selects relevant datasets, and publishes them to appropriate environments. This multi-functional approach manages comprehensive dataset collection without proportionally increasing review complexity, as all operations are automated through a unified system.
Data Source
AI summary
Systems and methods for publishing datasets are provided herein. According to some embodiments, methods for publishing datasets may include receiving a request to publish a dataset to at least one of an internal environment located within a secured zone and an external environment located outside the secured zone, the request comprising at least one selection criteria, selecting the dataset based upon the at least one selection criteria, the dataset being selected from an index of collected datasets, and responsive to the request, publishing the dataset to at least one of the internal environment and the external environment.