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What is LawBotica?

LawBotica is transforming the legal industry by streamlining various tasks such as summarizing depositions, constructing case timelines, and conducting comprehensive due diligence and document reviews, which significantly reduces the time typically required for these processes from months to just minutes. Equip your legal team with our AI-enhanced Document Review module, meticulously crafted with a specialized Legal Language Model tailored for the legal profession. By simply uploading your legal documents, you gain access to thorough analyses, vital insights, and practical recommendations that expedite your review process and enhance your decision-making capabilities. Our Document Summarization module, also powered by a custom Legal Language Model, offers a quick and effective way to grasp complex legal documents. Whether you require summaries of court opinions, testimonies, or depositions, our tool provides clear and concise summaries that save you time while boosting understanding. Furthermore, our Document Chat module allows users to fully harness their legal documents, creating a dynamic and engaging experience that encourages deeper interaction with the content. This innovative approach not only enhances productivity but also empowers legal professionals to focus on higher-level strategic tasks.

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.

Media

Media

Integrations Supported

Adobe Acrobat
Microsoft Word

Integrations Supported

Adobe Acrobat
Microsoft Word

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

LawBotica

Date Founded

2022

Company Location

United States

Company Website

lawbotica.ai/

Company Facts

Organization Name

Intraspexion

Date Founded

2016

Company Location

United States

Company Website

intraspexion.com/mvp

Categories and Features

Categories and Features

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