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Description
Indexed I/O makes it simpler than ever to achieve a scalable and economical eDiscovery solution. Our flexible pricing model allows you to only pay for what you utilize, free from long-term contracts, and there’s no need to invest in software or hardware. Whether you are dealing with a single document or vast amounts of data reaching petabytes, Indexed I/O caters to all your eDiscovery processing requirements. Just upload your files, adjust a few settings, and you will gain immediate access to the most robust eDiscovery processing platform in the industry. No competitor matches the search speed of Indexed I/O; typically, it delivers results in mere milliseconds for multi-terabyte datasets containing millions of items. This exceptional speed provides you with virtually instant access to vital information that you need to see to truly appreciate. The platform features interactive charts, graphs, and reports that enable you to swiftly analyze and filter your data. You can visually interpret your information by various file extensions, data types, processing metrics such as exceptions and duplicates, as well as document timelines, making your data management experience both efficient and insightful. Additionally, this user-friendly interface ensures that you can stay on top of your data effortlessly, transforming complex information into actionable insights.
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
API Access
Has API
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
Indexed I/O
Country
United States
Website
www.indexed.io
Vendor Details
Company Name
Reveal
Founded
2008
Country
United States
Website
www.revealdata.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
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