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What is Reveal Data?

The landscape of eDiscovery and investigations is undergoing a swift transformation due to advancements in artificial intelligence. Collaborating with Brainspace, we have combined our efforts to create a platform that consistently incorporates cutting-edge developments in AI and machine learning. Reveal Review is recognized as the most comprehensive document review solution available, designed to tackle any legal challenge, regardless of its intricacy or scale. With so many tools at one's disposal to improve and simplify the review process, it is vital to utilize a review instrument that provides effortless capabilities for searching, filtering, and organizing documents, thus enabling effective management from batching to production. Our eDiscovery platform was crafted with our own requirements at the forefront, focusing on speed, efficiency, and user-friendliness, while also addressing common frustrations linked to alternative solutions. Moreover, Reveal clients gain immediate access to pre-trained AI models, which can be seamlessly integrated into their workflows, effectively minimizing the initial challenges faced during reactive litigation and investigations. By prioritizing innovation, we ensure that our users are consistently armed with the finest tools tailored to their legal needs, ultimately enhancing their overall experience. This dedication to continuous improvement not only enhances efficiency but also positions our users for success in an ever-evolving legal landscape.

What is IBM StoredIQ Suite?

The IBM StoredIQ® Suite effectively tackles a range of issues involving data discovery, records management, compliance, storage efficiency, and data migration. It provides an in-depth evaluation of unstructured data directly at its source, enabling organizations to gain the essential insights needed for informed business decisions. For those in the legal field, IBM StoredIQ for Legal simplifies the electronic discovery (eDiscovery) process through a methodical framework. Moreover, with IBM StoredIQ Policy included in the suite, organizations can automate their data management policies seamlessly. This approach to in-place data management empowers businesses to recognize and handle unstructured data without the necessity of transferring it to distinct repositories or applications. The suite is equipped with advanced search functionalities that significantly improve the analysis of large volumes of unstructured content. As a result, organizations can attain a more lucid and detailed comprehension of their extensive corporate data landscape. By leveraging these tools, companies are significantly better positioned to navigate the intricate challenges of their data environment with greater confidence and efficiency. This comprehensive solution not only enhances operational agility but also supports strategic decision-making processes.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Reveal

Date Founded

2008

Company Location

United States

Company Website

www.revealdata.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/storediq-suite

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

eDiscovery

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

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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