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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

LawBotica revolutionizes the legal field by automating tasks such as deposition summaries, creating case timelines, and delivering thorough due diligence, document reviews, interactive chats, and collaborative workspaces—transforming what used to take months into mere minutes of productive efficiency. Equip your legal team with our AI-driven Document Review module, uniquely designed with a specialized Legal Language Model to cater specifically to the legal sector. By uploading your legal documents, you can access in-depth analyses, essential insights, and actionable recommendations that streamline your review process and accelerate informed decision-making. Our Document Summarization module, also powered by a tailored Legal Language Model, provides an efficient method for understanding intricate legal documents quickly and effectively. Whether you need summaries of court opinions, testimonies, or depositions, our tool delivers precise and succinct summaries that conserve your time while improving comprehension. Additionally, our Document Chat module enables you to unlock the full potential of your legal documents, fostering a more interactive and informative experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Adobe Acrobat
Microsoft Word

Integrations

Adobe Acrobat
Microsoft Word

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

LawBotica

Founded

2022

Country

United States

Website

lawbotica.ai/

Product Features

Product Features

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