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ease
features
design
support

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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

eDiscovery Manager provides authorized IT and legal personnel with the ability to efficiently search, filter, retain, and export content pertinent to cases, thereby lowering the costs associated with managing electronically stored information (ESI). This all-encompassing solution equips users with exceptional performance and advanced features necessary for handling intricate cases across the organization. With a user-friendly web-based interface, you can swiftly access and gain preliminary insights into content relevant to your cases. This enhances the proactive development of discovery strategies and allows for the creation of new cases while also managing ongoing ones. You can save searches for collaboration with other authorized team members and schedule them to boost productivity. Additionally, it assists legal teams in managing multifaceted cases while maintaining the integrity of document custody in individual repositories. By streamlining and standardizing the electronic discovery workflow, eDiscovery Manager enables you to respond to discovery requests in a more agile and cost-effective manner, ensuring that your legal processes remain efficient and accountable. Overall, this tool empowers legal staff to navigate the complexities of eDiscovery with ease and precision.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Hot Neuron

Website

www.cluster-text.com

Vendor Details

Company Name

Breakwater

Founded

2020

Country

United States

Website

breakwatersolutions.com/software-products-ediscovery-manager/

Product Features

eDiscovery

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

Product 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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