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Ratings and Reviews 0 Ratings
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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 Intraspexion?
The yearly financial burden linked to commercial tort litigation aimed at businesses, which includes payments for benefits, incurred losses, legal fees, and administrative costs such as document retrieval and lawyer consultations, is estimated to be approximately $160 billion, resulting in a staggering total of nearly $1.6 trillion over a ten-year period. To develop a deep learning model concentrating on the civil rights-employment category within federal courts, specifically addressing "employment discrimination," we compiled factual allegations from 400 federal court complaints, intentionally excluding any email data. This model was then launched on GPU instances in both Microsoft Azure and AWS, and it was assessed using 20,401 emails obtained from the Enron dataset, marking the model's initial exposure to email content. Each email identified as a true positive can be exported to a platform designed for internal investigations or case management, significantly increasing the model's practical applications. Additionally, by integrating a database with the user interface, users can archive these true positives, add them to the original training dataset, and re-train the model to enhance its accuracy and effectiveness. This ongoing learning process not only improves the model's performance but also ensures its continual adaptation to better recognize pertinent cases in the future, reflecting the dynamic nature of litigation and compliance in the business landscape. Overall, such advancements highlight the importance of leveraging technology in legal contexts to streamline processes and improve outcomes.
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
Intraspexion
Date Founded
2016
Company Location
United States
Company Website
intraspexion.com/mvp
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