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What is OpenText eDiscovery?

OpenText eDiscovery is a sophisticated legal technology platform that delivers end-to-end e-discovery management by combining advanced machine learning, generative AI, and powerful analytics to transform how legal teams approach document review and case strategy. This integrated solution accelerates the identification of relevant electronically stored information (ESI) by automating continuous learning and prioritizing key documents, which significantly reduces review costs and timelines. The platform supports efficient data collection across more than 45 connectors spanning ECM systems, emails, cloud services, and on-premises repositories, ensuring comprehensive coverage while balancing data volumes to avoid over- or under-collection. Its automated personal data detection and redaction features safeguard privacy and compliance through configurable pattern libraries and quality control processes. OpenText eDiscovery facilitates early case assessment (ECA) through front-ended analytics, allowing teams to gain rapid insights for strategic decisions at the outset of investigations. Proprietary AI technologies deliver deep text analytics, including sentiment and fact-vs-opinion analysis, enhancing the understanding of documents and improving case outcomes. Visual tools like hypergraph communication maps reveal hidden relationships and key custodians, helping uncover critical evidence efficiently. Deployment is highly flexible, spanning on-premises, public and private clouds, managed services, and hybrid environments, catering to diverse organizational requirements and data sovereignty concerns. Integration with case management systems streamlines production with automated quality controls and customizable templates, ensuring reliable outputs. The availability of expert advisory and professional services further empowers organizations to optimize their e-discovery processes, mitigate risk, and achieve cost-effective legal operations.

What is Digital Reef?

Digital Reef’s state-of-the-art technology provides unparalleled abilities for handling Big Data, allowing legal teams to effectively gather, filter, analyze, and export information in a swift and reliable way. By breaking down intricate, unstructured data into essential elements, it becomes possible to systematically organize documents based on their importance, facilitating the economical execution of discovery tasks even when facing stringent time constraints. Features such as de-nisting, deduplication, boolean search capabilities, and sophisticated analytics help in refining and organizing datasets for thorough examination. Moreover, Pre-Review Analytics™ can be utilized to significantly reduce the amount of data that requires scrutiny. Users can take advantage of the intuitive built-in interface or effortlessly transfer data to other review platforms, gaining the added benefit of implementing coding decisions from prior cases to boost productivity. This forward-thinking strategy not only accelerates the process but also enhances the precision of legal reviews, ultimately benefiting the overall workflow. As legal professionals navigate the complexities of discovery, harnessing such technology becomes essential for maintaining competitiveness in the field.

Media

Media

Integrations Supported

Microsoft 365
Microsoft SharePoint
OpenText Magellan
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce

Integrations Supported

Microsoft 365
Microsoft SharePoint
OpenText Magellan
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenText

Date Founded

1991

Company Location

Canada

Company Website

www.opentext.com/products/ediscovery

Company Facts

Organization Name

Digital Reef

Company Website

www.digitalreefinc.com

Categories and Features

eDiscovery

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

Categories and Features

eDiscovery

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

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