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Description
Genovra AI is a cutting-edge legal case intelligence platform tailored for boutique litigation firms in the United States. Serving as the leading alternative to Harvey AI for smaller practices, Genovra streamlines the often arduous tasks involved in litigation preparation, such as summarizing depositions, reviewing medical records, and calculating personal injury damages.
What sets Genovra apart from standard AI solutions is its Copilot Doctrine, which ensures that every claim is supported by precise Page/Line citations and includes an easy-to-use, one-click document viewer, thus minimizing the risk of inaccuracies. The platform can analyze extensive documents, including a 500-page medical record or a Zoom deposition transcript, and produce ready-to-submit structured Word (.docx) briefs in a remarkably short time frame of just 12 to 18 minutes.
Among its standout features are the Case Master Brief™ for synthesizing information across multiple documents, Zero Data Retention (ZDR) to maintain strict compliance with HIPAA regulations, Interactive Document Chat for enhanced user engagement, and Pass-Through Client Billing logic to simplify billing processes. By utilizing Genovra AI, legal professionals can reduce the mental strain associated with hourly analytical tasks, allowing them to focus on growing their boutique firm efficiently and effectively. This innovative platform is designed to empower legal teams, enabling them to operate with greater speed and accuracy than ever before.
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.
API Access
Has API
API Access
Has API
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Integrations
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Integrations
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Pricing Details
$197 per 1,000 credits
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
Genovra AI
Founded
2026
Country
Indonesia
Website
genovraai.net
Vendor Details
Company Name
Intraspexion
Founded
2016
Country
United States
Website
intraspexion.com/mvp