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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
The challenges posed by modern litigation, investigations, and compliance demands necessitate sophisticated tools that can reduce costs and risks while enhancing the likelihood of success. The OpenText™ Insight eDiscovery platform is specifically designed to expedite document review projects, regardless of their scale. Packed with features that automate the review process, Insight not only reduces expenses but also aids in the swift identification of critical data. These eDiscovery platforms play a crucial role in assisting legal teams to locate, analyze, review, classify, and produce electronically stored information (ESI) pertinent to various legal matters, including litigation and regulatory compliance. By leveraging advanced machine learning and data analytics, they effectively lower review costs, decrease data volumes, boost efficiency, and facilitate quicker access to essential information. The platform’s remarkable search capabilities enable rapid reviews, even for intricate field and text queries across vast document collections, with complex searches executing in mere seconds. As a result, legal teams can ensure that they are well-equipped to handle the growing complexity of legal data requirements.
API Access
Has API
API Access
Has API
Integrations
Microsoft 365
Microsoft SharePoint
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce
Integrations
Microsoft 365
Microsoft SharePoint
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce
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
OpenText
Founded
1991
Country
Canada
Website
www.opentext.com/products-and-solutions/products/discovery/ediscovery/insight
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