MicrosoftExpandedEvidence: Medium45/100

LexisNexis revolutionizes legal workflows with AI-driven document automation

LexisNexis, a global information and analytics leader, transformed legal workflows by integrating Microsoft Copilot for Microsoft 365 and building custom AI solutions directly into Microsoft Teams and Word. Leveraging Copilot's extensibility, LexisNexis launched Copilot extensions such as Ask Legal—empowering legal professionals to retrieve policy answers and manage requests within Teams. Complementing this, they developed a proprietary Lexis+ AI-powered custom copilot for Teams, facilitating generative AI for legal document drafting, summarization, and conversational search over an extensive legal library. These agentic solutions, built with Bot Framework SDK, Teams AI library, and supported by GitHub Copilot, not only enhance productivity and workflow automation, but also strengthen data security through integration with Microsoft Entra ID. The deployment led to faster drafting, aligned search experiences across Microsoft apps, and significant reductions in context switching for legal professionals globally.

Organization
LexisNexis
Industry
Legal
Published
September 2024

Reported outcomes

Strategic outcomes

New product / capabilityLaunched legal AI assistants in Microsoft appsNew product / capabilityEnabled legal document drafting and summarizationCustomer experience & trustImproved secure handling of legal documentsSpeed & agilityAccelerated legal workflows within familiar apps
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
LexisNexis
Provider
Microsoft
Maturity
Unknown
Linked source
lexisnexis.com

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

  • 1AI-powered legal document drafting
  • 2Conversational legal research assistant in Teams
  • 3Legal request management with AI automation
  • Legal professionals faced inefficient workflows for document drafting and research.
  • Heavy reliance on manual search and drafting increasing time spent on legal tasks.
  • Switching between multiple applications led to lost productivity.
  • Legal teams required AI-powered tools integrated with familiar Microsoft 365 applications.
  • Need for secure handling of sensitive legal documents and queries.
  • Developed Copilot extensions for Microsoft 365, enabling direct legal queries and management within Teams.
  • Built a custom engine copilot connecting Lexis+ AI to Teams for summarizing, drafting, and analyzing legal documents.
  • Utilized Microsoft Bot Framework SDK, Teams AI library, and GitHub Copilot to accelerate solution development.
  • Integrated Microsoft Entra ID and LexisNexis security for enhanced protection.
  • Leveraged Teams app store for streamlined, secure deployment.
  • Accelerated legal document drafting and research within familiar Microsoft 365 apps.
  • Reduced app switching by integrating legal AI assistants into Teams and Word.
  • Enabled conversational search and generative AI across vast legal content.
  • Enhanced productivity for legal professionals worldwide.
Architecture

LexisNexis integrated Microsoft Copilot extensions (like Ask Legal) and a proprietary custom engine copilot (using Lexis+ AI platform) into Microsoft Teams and Word through the Microsoft Bot Framework SDK and Teams AI library, secured by Microsoft Entra ID, and developed with the aid of GitHub Copilot. The custom engine copilot acts as a conversational bot leveraging Lexis+ AI for generative capabilities, while the Copilot extension connects directly to legal policy and document sources within the Teams ecosystem.

Sources & evidence3
Evidence: Medium45/100Evidence strength
  • Customer explicitly identified
  • Technical implementation details available
  • Multiple corroborating sources available
  • Recent evidence check available
  • Last evidence check: Jun 1, 2026.
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2025.
  • Cited source last checked Jun 1, 2026 — broken (2/3 broken).

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Published: Sep 13, 2024Publisher: lexisnexis.com
Primary sourceSource 2 (unavailable)Source 3 (unavailable)

AI-generated summary. Verify important details with the linked sources before relying on this case.

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