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Average Ratings 1 Rating
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
Advanced AI offers attorney-level negotiation capabilities with features such as multi-round review, automated redlining, fallback playbooks, approvals, and instructional support. This technology significantly reduces the timeframe from contract drafting to final signature, allowing negotiation reviews and markup processes to occur almost instantaneously. By expediting negotiation and deal timelines, it contributes to cost savings and enhances procurement workflows. Utilize data-driven insights to refine your review methods, effectively managing edge cases and incorporating feedback. Additionally, it minimizes risk by ensuring compliance through AI-driven adherence to both organizational and industry standards, as well as playbook protocols. LexCheck AI comes preloaded with established negotiation best practices for a variety of common contract types. Our dedicated team is available to help you customize it to align with your unique playbook guidelines using fewer than 24 training examples. This tailored approach ensures that your contract negotiation process is not only efficient but also highly effective in meeting your specific 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
LexCheck
Founded
2015
Country
United States
Website
www.lexcheck.com
Product Features
Contract Management
Buy Side (Suppliers)
Completion Tracking
Compliance Tracking
Contract Lifecycle Management
Electronic Signature
Full Text Search
Government Contracts
Pre-built Templates
Sell Side (Customers)
Specialty Contracts
Version Control
Workflow Management