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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Atlas eDiscovery Process ManagementTM equips attorneys, paralegals, and discovery specialists with the tools needed to effectively oversee a robust and defensible workflow for legal holds. This platform enhances the efficiency of corporate legal departments by allowing them to engage outside counsel more strategically, utilizing electronic pre-interviews with custodians to minimize the volume of data necessary for collection and review. Additionally, it automates the exchange of discovery requirements and pertinent information between IT and legal teams, facilitating action item assignments, notifications, alerts, and the organization of work related to holds and data collections. By doing so, Atlas eDiscovery Process Management fosters a more trustworthy and defensible process record, ultimately leading to improved and cost-efficient legal outcomes. Furthermore, it enhances the management of custodians and data sources with greater accuracy and efficiency. The automation of hold publication significantly diminishes the need for manual interventions, hence reducing the likelihood of errors and streamlining the entire process. This innovation not only saves time but also ensures that legal teams can focus on higher-priority tasks, thereby improving overall productivity.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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 No 
Mac No 
Linux No 
Chromebook 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 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Breakwater

Founded

2020

Country

United States

Website

breakwatersolutions.com/software-products-atlas-ediscovery-management/

Vendor Details

Company Name

Digital Reef

Website

www.digitalreefinc.com

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 

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 

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