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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 Clustify?

Clustify stands out as a robust text analysis solution that is employed in e-discovery and numerous other industries. Capable of efficiently processing millions of documents on a typical desktop computer, it offers users flexibility in document storage, allowing them to choose between a database or separate files on their hard drives. This adaptability ensures that Clustify can work harmoniously with a wide range of platforms and tools. The software supports TAR 1.0, 2.0, and the latest TAR 3.0 workflows, further increasing its functionality. One of its most notable features is real-time predictive coding, which enables users to observe the immediate impact of reviewing training documents during their work. Furthermore, Clustify includes a document clustering feature that groups together documents based on conceptual similarities, near-duplicates, or shared email threads. Founded in February 2000, Hot Neuron, the company behind Clustify, is dedicated to creating advanced technologies and services for information retrieval. The organization prides itself on innovating cutting-edge methods and algorithms designed to help users find and organize information efficiently, thereby significantly enhancing their productivity. Committed to continual improvement, Hot Neuron is always exploring new ways to advance its information management solutions and meet the evolving needs of its clientele.

Media

Media

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

Hot Neuron

Company Website

www.cluster-text.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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