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Ratings and Reviews 0 Ratings
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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.
What is Atlas eDiscovery Management?
Atlas eDiscovery Process ManagementTM equips legal professionals, including attorneys, paralegals, and discovery experts, with essential tools to manage a complex and highly defensible legal holds process. This innovative platform enables corporate legal teams to maximize the effectiveness of external counsel by streamlining preliminary interviews with custodians electronically, thus refining the scope of necessary data collection and analysis. Moreover, it automates communication regarding discovery needs and information exchange between IT and legal staff, covering action assignments, notifications, alerts, work planning, and searches pertinent to holds and collections. In addition, the system bolsters the reliability and defensibility of the procedural record, fostering improved and cost-effective legal outcomes. By managing custodians and data sources with enhanced precision and efficiency, it also simplifies the holding publication process, drastically reducing manual efforts and the chance for mistakes. Consequently, legal teams can devote more time to strategic initiatives while alleviating the administrative workload that often accompanies discovery tasks. This shift not only streamlines operations but also enhances overall productivity within the legal framework.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
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
Digital Reef
Company Website
www.digitalreefinc.com
Company Facts
Organization Name
Breakwater
Date Founded
2020
Company Location
United States
Company Website
breakwatersolutions.com/software-products-atlas-ediscovery-management/
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