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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

Screenshots View All

Screenshots View All

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

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

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Alternatives

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