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features
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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 Assistant serves as a comprehensive legal research platform and resource hub tailored for attorneys and legal practitioners, providing access to curated case law, checklists, and forms. With the ability to streamline the search process, users can transform hours of searching for eDiscovery answers into just a few clicks. The platform eliminates the need for trial-and-error with search terms by incorporating exclusive eDiscovery issue tags. Users can also receive weekly updates on new rulings directly in their inboxes, allowing them to stay informed effortlessly. By offering essential checklists and forms for every eDiscovery procedure, the platform helps eliminate redundancy in legal practices. Given the ever-evolving landscape of regulations and case law, it can be quite difficult for legal professionals to keep abreast of the latest developments in eDiscovery. Designed by eDiscovery attorneys with a keen understanding of legal workflows, this resource is a meticulously organized database that allows users to quickly find answers to their queries on case law, rules, and specific eDiscovery issues. Imagine being able to predict a judge's ruling on a matter with just three simple clicks; that’s the efficiency eDiscovery Assistant aims to provide. This innovative tool not only saves time but also enhances the quality of legal research for its users.

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

eDiscovery Assistant

Founded

2016

Country

United States

Website

www.ediscoveryassistant.com

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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