Unified E-Discovery Interface for Cross-Platform Data Insights
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Solution Overview
Problem
Current e-discovery systems lack the ability to integrate data insights from multiple e-discovery platforms like MICROSOFT ADVANCED E-DISCOVERY and RELATIVITY into a single dynamic graphical user interface, hindering data transparency and making it difficult for legal professionals to make data-driven decisions.
Innovation Solution
A computer-implemented method and system that associates users with case numbers, generates data insights, and displays them through a unified interface, allowing access to multiple e-discovery applications and platforms, thereby surfacing insights across multiple databases and improving data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data from multiple e-discovery applications are integrated into a single unified interface, then data transparency and ease of operation are improved, but device complexity increases
Solution Approach 1:
The patent merges data from multiple e-discovery applications (Relativity, Microsoft Advanced E-Discovery, etc.) into a single unified interface called the Case Management Interface. This consolidation allows users to access and manage data from different sources through one common platform, improving ease of operation while the underlying complexity is abstracted away through standardized data models and integration layers.
Solution Approach 2:
The Case Management Interface provides universal access to multiple e-discovery applications and data sources through a single interface. The system can connect to various e-discovery platforms, legal hold applications, and data collections, allowing one interface to serve multiple functions and data sources rather than requiring separate interfaces for each system.
2Adaptability or versatility
If a common data model is used to bring together data from multiple e-discovery applications, then adaptability and data transparency are improved, but device complexity increases
Solution Approach 1:
The common data model provides a universal framework that can adapt to multiple e-discovery applications and data sources. The model defines standardized structures for cases, users, data collections, and relationships, allowing the system to accommodate various e-discovery platforms while maintaining consistent data representation and access methods.
Solution Approach 2:
The common data model acts as an intermediary layer between the unified interface and the various e-discovery applications. It translates and standardizes data from different sources into a common format, enabling adaptability across platforms while hiding the complexity of individual application structures from the user interface.
3Ease of operation
If user access is granted based on contact information association with case numbers, then ease of operation and data transparency are improved, but device complexity increases
Solution Approach 1:
The system automatically associates users with cases based on contact information stored in the common data model. When a user accesses the interface, the system automatically determines their authorized cases based on pre-established associations between user contact information and case numbers, eliminating the need for manual case assignment while maintaining secure access control.
Data Source
AI summary
Various aspects of the subject technology relate to systems, methods, and machine-readable media for granting access to cases for users through a common data model that brings together data from multiple e-discovery applications. The method includes associating a user with a case number. The method includes assigning a case name to each case number. The method includes associating contact information of the user with the case number. The method includes receiving a request to access the case number. The method includes, in response to receiving the request, issuing an access link to the user. The method includes authenticating the user based on at least the access link. The method includes granting access to the case number based on the contact information. The method includes generating data insights regarding the case number. The method includes causing display of the data insights through a user interface.