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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

LexisNexis Protégé is a generative and agentic AI assistant developed for legal professionals and organizations requiring research, document analysis, and workflow automation. The assistant powers AI capabilities across LexisNexis solutions for legal research, litigation, transactional work, compliance, and business intelligence. Through Lexis+ with Protégé, users can research legal questions using case law, statutes, regulations, secondary sources, and Practical Guidance content. Its drafting capabilities support contracts, legal briefs, motions, complaints, client communications, and other professional documents. Protégé can summarize uploaded materials, extract information from large document collections, and generate answers grounded in legal authorities and organizational knowledge. Shepard's citation verification helps users evaluate the validity and treatment of legal authorities referenced in research and drafting workflows. Agentic AI functionality supports multistep assignments, reusable workflow templates, document comparisons, and custom automation skills. Integrations with Microsoft Word, Microsoft 365 Copilot, and document management platforms allow professionals to work with AI assistance inside existing applications. LexisNexis Protégé also supports business research, litigation analytics, intellectual property analysis, and compliance workflows through integrations with other LexisNexis products.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Android No 
Apple iOS No 
Lexis No 

Integrations

Android Yes 
Apple iOS Yes 
Lexis Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Intraspexion

Founded

2016

Country

United States

Website

intraspexion.com/mvp

Vendor Details

Company Name

LexisNexis

Founded

1970

Country

United States

Website

www.lexisnexis.com/en-us/products/protege.page

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