Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
Android
No
Apple iOS
No
Lexis
No
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