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
Unmatched scope – Access detailed results at both the county and global levels with ease. Premonition’s reach surpasses that of LexisNexis, Thomson Reuters, and Bloomberg combined. Limitless detail – Filter by venue, case type, judge, attorney, specific docket entries (like trial set dates), or keywords within documents. Data can be imported in API or CSV format directly into Salesforce or your CRM, eliminating the tedious cut-and-paste tasks required by competitors. Enhanced filtering – There’s no need to employ people to sift through court documents; our system can process 50,000 pages in less than a second. Acquire precisely the information you require and only incur costs for what you actually use. Discover the attorneys and legal cases that align best with your investment criteria weeks ahead of traditional lead services. With automated court monitoring for individuals or entities of interest, the efficiency of thousands of agents is replicated through automation, streamlining the process significantly. This allows for a more proactive approach in identifying valuable legal opportunities.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Intraspexion
Founded
2016
Country
United States
Website
intraspexion.com/mvp
Vendor Details
Company Name
Premonition
Founded
2014
Country
United States
Website
premonition.ai/
Product Features
Legal Research
AI / Machine Learning
No
Annotations
No
Brief Analytics
No
Case Alerts
No
Case Law Research
No
Change Tracking
No
Data Visualization
No
Filtering
No
Query Suggestions
No
Search History
No
Self-Service Search
No
Statutes Research
No
Tax Law Research
No
Third-Party Analysis Integration
No