Method and apparatus for integrated e-discovery
The system provides an integrated, end-to-end eDiscovery platform that uses artificial intelligence, robotic process automation, and machine learning. The system uses a single interface to interact with multiple electronic document sources, storage types, and communication systems. The system provides automation of a complete EDRM compliant tracking and reporting system. The system allows enterprises to use their eDiscovery software of choice, while still providing full automation. The system connects to all enterprise data, collects data using forensic tools, automates the complete processing of the data, provides automatic review, support, and hosting, and automates the production and tracking of eDiscovery.
1. An eDiscovery system comprising:
an enterprise system, comprising a first processor and first memory device, having a plurality of data sources storing data subject to eDiscovery requests and implementing Electronic Discovery Reference Model (EDRM) standards of eDiscovery and including:
a data collection module, comprising the first processor and the first memory device, wherein the first processor is configured to perform automated data collection by setting a scope of data to be collected and use a plurality of APIs to interface with the plurality of data sources;
legal hold and preservation module, comprising the first processor and the first memory device, wherein the first processor is configured to:
generate a query;
receive a response to the query;
in response to receiving the query, generate hold and preservation rules;
provide in-place locks in real time for data in the plurality of data sources pursuant to a legal hold request and based in least in part on the hold and preservation rules; and
confirm successful preservation of the data with real time data integrity checks;
matter management module, comprising the first processor and the first memory device, wherein the first processor is configured to automatically identify data custodians and relevant data sources based on case information provided to the matter management module and define the scope of data collected by the data collection module;
enterprise legal hold module comprising the legal hold and preservation module and the data collection module, and enterprise legal management module comprising the matter management module and an enterprise dashboard;
a discovery system comprising a second processor, a second memory device and:
an automated discovery workflow module, comprising the second processor and the second memory device, wherein the second processor is configured to provide API integration with a plurality of eDiscovery applications;
legal template module, comprising the second processor and the second memory device, wherein the second processor is configured to automatically include all eDiscovery steps into a single template;
an automated workflow module, comprising the second processor and the second memory device, wherein the second processor is configured to provide automation when running a batch of evidence; and
analyze eDiscovery requests and automatically determining an optimized process from a plurality of processes for collecting data responsive to eDiscovery requests, wherein determining the optimized process is based on historical data of similar cases; and
a bridge, comprising a third processor and a third memory device, wherein the third processor is configured to provide discovery as a service (DaaS) functionality and communicate with the enterprise system.
2. The system of claim 1 wherein the data collection is performed by the enterprise system.
3. The system of claim 1 wherein data subject to eDiscovery is transferred from the enterprise system to the discovery system.
4. The system of claim 1 wherein the single template triggers the automated workflow module.
5. The system of claim 1 wherein the in-place locks preserves the data to a standard of a legal hold.
6. The system of claim 1 , wherein the enterprise system is behind a firewall and the bridge is configured to pass the data between the enterprise system and the discovery system.
7. An eDiscovery method comprising:
storing, via an enterprise system comprising a first processor and a first memory device, data subject to eDiscovery requests on a plurality of data sources, wherein the enterprise system implements Electronic Discovery Reference Model (EDRM) standards of eDiscovery;
performing, via the first processor, automated data collection by setting a scope of data to be collected and use a plurality of APIs to interface with the plurality of data sources, wherein a data collection module comprises the first processor and the first memory device;
using, via the first processor and the first memory device, a plurality of APIs to interface with the plurality of data sources;
generating, via the first processor, a query, wherein a legal hold and preservation module comprises the first processor and the first memory device;
receiving, via the first processor, a response to the query;
in response to receiving the query, generating, via the first processor, hold and preservation rules;
providing, via the first processor, in-place locks in real time for data in the plurality of data sources pursuant to a legal hold request and based in least in part on the hold and preservation rules;
confirming, via the first processor, successful preservation of the data with real time data integrity checks;
automatically identifying, via the first processor, data custodians and relevant data sources based on case information provided to a matter management module and define the scope of data collected by the data collection module, wherein the matter management module comprises the first processor and the first memory device, an enterprise legal hold module comprises the legal hold and preservation module and the data collection module, and enterprise legal management module comprises the matter management module and an enterprise dashboard;
providing, via a second processor and a second memory device, API integration with a plurality of eDiscovery applications, wherein an automated discovery workflow module comprises the second processor and the second memory device;
automatically including, via the second processor, all eDiscovery steps into a single template, wherein a legal template module comprises the second processor and the second memory device
providing, via the second processor, automation when running a batch of evidence, wherein an automated workflow module comprises the second processor and the second memory device;
analyzing, via the second processor, eDiscovery requests and automatically determining an optimized process from a plurality of processes for collecting data responsive to eDiscovery requests, wherein determining the optimized process is based on historical data of similar cases; and
providing, via a third processor and a third memory device, discovery as a service (DaaS) functionality and communicate with the enterprise system, wherein a bridge comprises the third processor and the third memory device.
8. The method of claim 7 , wherein the data collection is performed by the enterprise system.
9. The method of claim 7 , further comprising transferring data subject to eDiscovery from the enterprise system to a discovery system.
10. The method of claim 7 , wherein the single template triggers the automated workflow module.
11. The method of claim 7 , wherein the in-place locks preserves the data to a standard of a legal hold.
12. The method of claim 7 , wherein the enterprise system is behind a firewall and the bridge is configured to pass the data between the enterprise system and the discovery system.