Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The annual expenses associated with commercial tort litigation targeting businesses, which encompass benefits paid, losses, legal fees, and administrative expenditures such as document collection and attorney meetings, were estimated at around $160 billion, culminating in nearly $1.6 trillion over the course of a decade. To create a deep learning model focused on the federal court’s civil rights-employment category, specifically "employment discrimination," we gathered factual allegations from 400 federal court complaints—excluding any email data. This model was deployed on GPU instances within Microsoft Azure and AWS, where it was evaluated using 20,401 emails from the Enron dataset, marking the first instance the model encountered email data. Each identified true positive email can be exported to a platform for internal investigations or case management purposes, enhancing the model’s utility. Furthermore, with an integrated database connected to the user interface, users have the capability to save these true positives, incorporate them into the initial training set, and subsequently re-train the model for improved accuracy and performance. As a result, this continual learning process ensures that the model evolves and adapts over time to better identify relevant cases.
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
Intraspexion
Founded
2016
Country
United States
Website
intraspexion.com/mvp
Vendor Details
Company Name
Reveal
Founded
2008
Country
United States
Website
www.revealdata.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