Generative AI platform for scalable legal operations  - CEI | Consulting. Solutions. Results. Skip to content

Generative AI platform for scalable legal operations 

CEI implemented a scalable data governance framework to enable compliant, transparent, and secure AI development across enterprise data environments. 

50% reduction in time

Generating key legal documentation

300+ tickets categorized

Improved operational efficiency

10+ technologies integrated

Improved accountability and compliance

Company Overview

A global immigration law firm provides legal services to organizations managing international workforce mobility. The firm supports clients across multiple industries, handling complex immigration processes that require accurate documentation, efficient workflows, and secure data management. 

Industry Legal Services
Technologies Generative AI, Semantic Kernel, .NET, Microsoft Prompt Flow 
Integrations Vector databases, plugins, internal systems, AI orchestration tools

CEI designed and deployed a generative AI platform with a modular, “pluggable” architecture to support multiple use cases across the organization. The platform enables both external and internal AI applications, including a client-facing chatbot and an internal AI assistant. It supports ongoing expansion, allowing new capabilities to be added while maintaining strong data privacy and governance. 

Modular AI architecture supporting multiple use cases

External chatbot for client interactions 

Internal AI assistant for employee productivity 

Integration of diverse AI technologies and tools 

Secure and scalable foundation for future AI expansion 

Additional outcomes include improved internal productivity, faster service delivery, and a stronger technology foundation for continued AI innovation. 

Trusted by enterprises delivering at scale

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AI-powered knowledge retrieval with RAG and API management 

CEI implemented a scalable AI solution to improve knowledge retrieval accuracy, handle complex queries, and support domain-specific user needs across multiple data sources. 

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