Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Digital Reef's cutting-edge technology offers unmatched capabilities for processing Big Data, enabling legal teams to efficiently ingest, cull, analyze, and export information in the quickest and most dependable manner. By distilling complex, unstructured data into its critical components, you can systematically arrange documents according to their relevance, allowing for the cost-effective completion of discovery tasks even under the tightest deadlines. Utilize features such as de-nisting, deduplication, boolean search functions, and advanced analytics to streamline and categorize data sets for review purposes. Additionally, Pre-Review Analytics™ can be employed to further minimize the volume of data needing examination. You can either work within the user-friendly built-in interface or seamlessly export data to other review tools, and benefit from the ability to apply coding decisions made in previous cases to enhance efficiency. This innovative approach not only saves time but also improves the accuracy of legal reviews.
Description
OpenText eDiscovery offers a fully integrated solution that empowers legal teams to manage the entire e-discovery lifecycle with speed and precision using cutting-edge AI and analytics. By leveraging machine learning and generative AI technologies, the platform prioritizes likely relevant documents, drastically cutting down on the volume that requires manual review and improving accuracy. It efficiently collects data from over 45 sources, including ECM systems, emails, and cloud repositories, while automating personal data protection through advanced redaction capabilities. Early case assessment tools provide actionable insights early in the legal process, enabling faster case strategies. Users benefit from comprehensive analytics, such as sentiment analysis and entity recognition, powered by OpenText’s proprietary AI. Deployment flexibility allows organizations to choose from on-premises, public or private cloud, or hybrid models, accommodating varied data security needs. The platform also integrates seamlessly with case management systems, ensuring smooth production and review workflows. Additionally, expert professional services help accelerate projects and ensure optimized outcomes across all stages of e-discovery.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Microsoft 365
No
Microsoft SharePoint
No
OpenText Magellan
No
Oracle Cloud Infrastructure
No
SAP Cloud Platform
No
SAP HANA
No
SAP SuccessFactors
No
Salesforce
No
Integrations
Microsoft 365
Yes
Microsoft SharePoint
Yes
OpenText Magellan
Yes
Oracle Cloud Infrastructure
Yes
SAP Cloud Platform
Yes
SAP HANA
Yes
SAP SuccessFactors
Yes
Salesforce
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Digital Reef
Website
www.digitalreefinc.com
Vendor Details
Company Name
OpenText
Founded
1991
Country
Canada
Website
www.opentext.com/products/ediscovery
Product Features
eDiscovery
Case Analytics
Yes
Compliance Management
Yes
Discussion Threads
No
Document Indexing
Yes
Document Tracking
Yes
Full Text Extraction
No
Keyword Search
Yes
Metadata Extraction
Yes
Topic Clustering
No
Product Features
eDiscovery
Case Analytics
No
Compliance Management
No
Discussion Threads
No
Document Indexing
No
Document Tracking
No
Full Text Extraction
No
Keyword Search
No
Metadata Extraction
No
Topic Clustering
No