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What is Intraspexion?

The yearly financial burden linked to commercial tort litigation aimed at businesses, which includes payments for benefits, incurred losses, legal fees, and administrative costs such as document retrieval and lawyer consultations, is estimated to be approximately $160 billion, resulting in a staggering total of nearly $1.6 trillion over a ten-year period. To develop a deep learning model concentrating on the civil rights-employment category within federal courts, specifically addressing "employment discrimination," we compiled factual allegations from 400 federal court complaints, intentionally excluding any email data. This model was then launched on GPU instances in both Microsoft Azure and AWS, and it was assessed using 20,401 emails obtained from the Enron dataset, marking the model's initial exposure to email content. Each email identified as a true positive can be exported to a platform designed for internal investigations or case management, significantly increasing the model's practical applications. Additionally, by integrating a database with the user interface, users can archive these true positives, add them to the original training dataset, and re-train the model to enhance its accuracy and effectiveness. This ongoing learning process not only improves the model's performance but also ensures its continual adaptation to better recognize pertinent cases in the future, reflecting the dynamic nature of litigation and compliance in the business landscape. Overall, such advancements highlight the importance of leveraging technology in legal contexts to streamline processes and improve outcomes.

What is Esheria LexChat?

Esheria harnesses AI to revolutionize legal access in Africa via its flagship product, LexChat, a specialized legal assistant focused on Kenyan law. This tool supports lawyers, students, legal aid clinics, and justice sector institutions in conducting plain-language legal research, instantly drafting court documents, comparing legal files, and tracking case law developments. Built on advanced NLP and cloud infrastructure such as FastAPI and AWS Lambda, Esheria ensures a secure, scalable, and efficient user experience. Expanding beyond Kenya, the platform now serves users in Uganda and Rwanda, enhancing the affordability and accessibility of legal knowledge.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$6/month/per user
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Intraspexion

Date Founded

2016

Company Location

United States

Company Website

intraspexion.com/mvp

Company Facts

Organization Name

Esheria

Date Founded

2023

Company Location

Kenya

Company Website

esheria.co.ke/

Categories and Features

AI Legal

Not specified

Legal

Not specified

Categories and Features

AI Legal

Not specified

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