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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

Litmas AI is an advanced litigation platform specifically designed for legal professionals. Unlike other AI solutions that may provide unreliable information, Litmas ensures its research, motion drafting, and case analysis are accurate and court-ready, boasting zero hallucinations in its citations. Key Features AI Associate: Provides tailored responses with verified citations for comprehensive legal analysis and strategic planning. Motion Builder: Generates court-ready motions in just minutes with a 90% success rate, supported by verified citations. Litiverse Graph: Offers a three-dimensional representation of parties, witnesses, claims, and relevant facts. Evidence Mapper: Connects facts to legal elements, highlighting what is substantiated and what is lacking. Pre-Suit Module: Facilitates the creation of compliant complaints and demand letters. What Sets Us Apart Developed by trial attorneys specifically for the litigation process, as opposed to a generic AI framework. Our multi-step verification process effectively eliminates inaccuracies, ensuring reliability. We are equipped with extensive training on verified U.S. case law, providing a seamless workflow from case intake to motion. With no fabricated citations, our research offers a level of trustworthiness that legal professionals can rely on, ultimately enhancing their practice and client outcomes.

API Access

Has API

API Access

Has API

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Integrations

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Integrations

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Pricing Details

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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

Litmas AI

Founded

2025

Country

United States

Website

litmas.ai/

Product Features

Product Features

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