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Description
The challenges posed by modern litigation, investigations, and compliance demands necessitate sophisticated tools that can reduce costs and risks while enhancing the likelihood of success. The OpenText™ Insight eDiscovery platform is specifically designed to expedite document review projects, regardless of their scale. Packed with features that automate the review process, Insight not only reduces expenses but also aids in the swift identification of critical data. These eDiscovery platforms play a crucial role in assisting legal teams to locate, analyze, review, classify, and produce electronically stored information (ESI) pertinent to various legal matters, including litigation and regulatory compliance. By leveraging advanced machine learning and data analytics, they effectively lower review costs, decrease data volumes, boost efficiency, and facilitate quicker access to essential information. The platform’s remarkable search capabilities enable rapid reviews, even for intricate field and text queries across vast document collections, with complex searches executing in mere seconds. As a result, legal teams can ensure that they are well-equipped to handle the growing complexity of legal data requirements.
Description
eDiscovery Manager provides authorized IT and legal personnel with the ability to efficiently search, filter, retain, and export content pertinent to cases, thereby lowering the costs associated with managing electronically stored information (ESI). This all-encompassing solution equips users with exceptional performance and advanced features necessary for handling intricate cases across the organization. With a user-friendly web-based interface, you can swiftly access and gain preliminary insights into content relevant to your cases. This enhances the proactive development of discovery strategies and allows for the creation of new cases while also managing ongoing ones. You can save searches for collaboration with other authorized team members and schedule them to boost productivity. Additionally, it assists legal teams in managing multifaceted cases while maintaining the integrity of document custody in individual repositories. By streamlining and standardizing the electronic discovery workflow, eDiscovery Manager enables you to respond to discovery requests in a more agile and cost-effective manner, ensuring that your legal processes remain efficient and accountable. Overall, this tool empowers legal staff to navigate the complexities of eDiscovery with ease and precision.
API Access
Has API
API Access
Has API
Integrations
Microsoft 365
Microsoft SharePoint
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce
Integrations
Microsoft 365
Microsoft SharePoint
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OpenText
Founded
1991
Country
Canada
Website
www.opentext.com/products-and-solutions/products/discovery/ediscovery/insight
Vendor Details
Company Name
Breakwater
Founded
2020
Country
United States
Website
breakwatersolutions.com/software-products-ediscovery-manager/
Product Features
eDiscovery
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering
Product Features
eDiscovery
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering