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What is LexisNexis Protégé?
LexisNexis Protégé is an artificial intelligence assistant that provides legal research, document drafting, professional analysis, and workflow automation capabilities across the LexisNexis product ecosystem. The platform combines generative AI, agentic task execution, and authoritative research content to support complex legal and business workflows. Protégé is integrated into Lexis+ with Protégé, Lexis Create+, Lex Machina, CourtLink, CounselLink+, and other specialized LexisNexis applications. Its legal research capabilities allow attorneys to investigate questions using primary law, statutes, regulations, secondary sources, and expert-authored Practical Guidance materials. Document drafting tools assist with preparing contracts, transactional agreements, litigation motions, legal briefs, complaints, and client correspondence. The assistant can analyze uploaded documents, summarize case materials, compare contractual provisions, and extract relevant facts from extensive document collections. Integration with Shepard's enables users to verify legal citations, review the treatment of authorities, and identify unsupported legal references. Protégé's agentic AI capabilities support complex multistep assignments, including legal research, document review, drafting, and structured analysis. Organizations can create and share reusable AI agent skills, collaborate through secure Workrooms, and store sensitive materials in document Vaults for ongoing analysis. The assistant integrates with Microsoft Word, Microsoft 365 Copilot, and document management systems such as iManage, SharePoint, and NetDocuments to connect AI workflows with existing organizational knowledge. Additional integrations extend Protégé into litigation analytics, court docket research, legal spend management, regulatory disclosure analysis, intellectual property research, and business intelligence applications.
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.
Integrations Supported
API Availability
API Availability
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Android
iPhone
iPad
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Customer Service / Support
Web-Based Support
Training Options
Not specified
Training Options
Documentation Hub
Company Facts
Organization Name
LexisNexis
Date Founded
1970
Company Location
United States
Company Website
www.lexisnexis.com/en-us/products/protege.page
Company Facts
Organization Name
Intraspexion
Date Founded
2016
Company Location
United States
Company Website
intraspexion.com/mvp