Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The IBM StoredIQ® Suite addresses various challenges related to data discovery, records management, compliance, storage optimization, and data migration. It offers a thorough assessment of unstructured data right where it resides, granting organizations the insight necessary to make better business decisions. For legal professionals, IBM StoredIQ for Legal streamlines the electronic discovery (eDiscovery) process through a systematic approach. Additionally, organizations can automate their policies using IBM StoredIQ Policy, which is included in the StoredIQ Suite. This in-place data management allows businesses to identify and manage unstructured data without relocating it to separate repositories or applications. The suite features a robust search capability that enhances the analysis of vast amounts of unstructured content. Ultimately, businesses can achieve a clearer and more comprehensive understanding of their extensive corporate data. With these tools, organizations are better equipped to navigate the complexities of their data landscape effectively.
Description
The realm of eDiscovery and investigations is rapidly being transformed by artificial intelligence. In partnership with Brainspace, we have unified our efforts to deliver a platform consistently enriched with the latest advancements in AI and machine learning. Reveal Review stands out as the most all-encompassing document review solution, equipped with the versatility and capacity to handle any legal challenge, no matter its complexity or scale. Given the plethora of tools available to enhance and streamline the review process, it is essential to have a review instrument that offers seamless capabilities for searching, filtering, and organizing documents, thereby allowing you to effectively oversee the process from batching to production. We designed our eDiscovery platform with our own needs in mind, prioritizing speed, efficiency, and user-friendliness while eliminating the frustrations often associated with other options. Additionally, Reveal clients benefit from immediate access to pre-trained AI models that can be integrated into their workflows, effectively addressing the initial hurdles that arise during reactive litigation and investigations. This commitment to innovation ensures that users are always equipped with the best tools for their legal needs.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/storediq-suite
Vendor Details
Company Name
Reveal
Founded
2008
Country
United States
Website
www.revealdata.com
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Product Features
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
No
False Positives Reduction
Yes
Self Service Data Preparation
Yes
Sensitive Data Identification
No
Visual Analytics
Yes
eDiscovery
Case Analytics
No
Compliance Management
No
Discussion Threads
Yes
Document Indexing
Yes
Document Tracking
Yes
Full Text Extraction
Yes
Keyword Search
Yes
Metadata Extraction
Yes
Topic Clustering
Yes