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What is Gimmal Discover?

The goal is to identify, categorize, and oversee data to safeguard sensitive information while minimizing privacy concerns. Gimmal Discover is capable of integrating with diverse corporate data sources, including file shares, PST files, and local workstations. Additionally, it supports platforms like Exchange, SharePoint, OneDrive, Box, and Google Workspace, among others. If sensitive data, such as personally identifiable information (PII), is not properly managed, it risks being overlooked within these data repositories, leading to significant privacy or compliance challenges. By identifying sensitive files, Gimmal Discover plays a crucial role in lowering these risks and provides solutions for their management. Its robust eDiscovery features can significantly aid legal teams in their processes. Furthermore, Gimmal Discover enables the application of classification categories to ensure content aligns with your organization’s information governance policies, thereby enhancing overall compliance and security. This comprehensive approach ultimately fosters a more secure data environment for organizations.

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

Box
Google Workspace
Microsoft Exchange
Microsoft OneDrive
Microsoft SharePoint

Integrations Supported

Box
Google Workspace
Microsoft Exchange
Microsoft OneDrive
Microsoft SharePoint

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

Gimmal

Date Founded

2002

Company Location

United States

Company Website

www.gimmal.com/gimmal-discover/

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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