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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

Clustify is a powerful text analysis tool utilized in e-discovery and various other sectors. It has the capability to process millions of documents efficiently on a standard desktop computer. Users can choose to store documents either in a database or as separate files on their hard drive, enabling Clustify to integrate seamlessly with a variety of platforms and tools. The software is compatible with TAR 1.0, 2.0, and the latest TAR 3.0 workflows, enhancing its versatility. Notably, Clustify is the pioneering software that provides real-time predictive coding, allowing users to instantly see the effects of reviewing a training document as they work. Additionally, it features document clustering, which can aggregate documents that share conceptual similarities, are near-duplicates, or belong to the same email conversation. Hot Neuron, the company behind Clustify, was established in February 2000, focusing on the creation of advanced information retrieval technologies and services. The organization takes pride in its commitment to developing cutting-edge methods and algorithms, aimed at enabling users to efficiently find and organize information to significantly boost their companies' productivity. With an ongoing dedication to innovation, Hot Neuron continually seeks to enhance its offerings in information management.

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 No 
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 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 Yes 

Types of Training

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

Vendor Details

Company Name

Hot Neuron

Website

www.cluster-text.com

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 Yes 

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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