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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.
Description
eDiscovery Assistant serves as a comprehensive legal research platform and resource hub tailored for attorneys and legal practitioners, providing access to curated case law, checklists, and forms. With the ability to streamline the search process, users can transform hours of searching for eDiscovery answers into just a few clicks. The platform eliminates the need for trial-and-error with search terms by incorporating exclusive eDiscovery issue tags. Users can also receive weekly updates on new rulings directly in their inboxes, allowing them to stay informed effortlessly. By offering essential checklists and forms for every eDiscovery procedure, the platform helps eliminate redundancy in legal practices. Given the ever-evolving landscape of regulations and case law, it can be quite difficult for legal professionals to keep abreast of the latest developments in eDiscovery. Designed by eDiscovery attorneys with a keen understanding of legal workflows, this resource is a meticulously organized database that allows users to quickly find answers to their queries on case law, rules, and specific eDiscovery issues. Imagine being able to predict a judge's ruling on a matter with just three simple clicks; that’s the efficiency eDiscovery Assistant aims to provide. This innovative tool not only saves time but also enhances the quality of legal research for its users.
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
Reveal
Founded
2008
Country
United States
Website
www.revealdata.com
Vendor Details
Company Name
eDiscovery Assistant
Founded
2016
Country
United States
Website
www.ediscoveryassistant.com
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
Product Features
eDiscovery
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering