P2P

PeerToPeer_Spring_2026

Peer to Peer: ILTA's Quarterly Magazine

Issue link: https://epubs.iltanet.org/i/1544492

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P E E R T O P E E R M A G A Z I N E · S P R I N G 2 0 2 6 101 TECHNOLOGY STACK – ASP.NET CORE AND MICROSOFT AZURE We selected ASP.NET Core as the primary development frame- work for PC Chat because of its strong alignment with our enter- prise requirements. Its cloud native design integrates seamlessly with Azure services, delivering the performance, security, and scalability a legal platform demands. The core advantages of this stack for us include: • Performance and Scalability: Optimized HTTP handling and memory management support fast response times and concurrent user sessions, with dynamic scaling based on usage patterns. • Security and Compliance: Built-in authentication, data protection APIs, and access logging ensure client confidentiality and regulatory compliance. • Azure AI Ecosystem: Tight integration with Azure's cognitive and AI services portfolio eliminated multi-vendor complexity while enabling PC Chat's multi-modal capabilities. • Enterprise Reliability: Azure's 99.9% uptime SLAs, global data centers, and Active Directory integration ensure availability and seamless user authentication across our distributed team. • DevOps Integration: Native support for CI/CD pipelines via Azure DevOps and GitHub Actions streamlined deployment across development and production environments. AI ORCHESTRATION WITH MICROSOFT SEMANTIC KERNEL Microsoft Semantic Kernel serves as the intelligent orchestration engine at the core of PC Chat. Rather than relying on a single AI model, Semantic Kernel dynamically routes user queries through appropriate AI services, plugins, and enterprise data sources to produce comprehensive, contextually relevant responses. When a user submits a query, Semantic Kernel analyzes the request to identify intent, extract key entities, and deter- mine which combination of plugins will deliver the best response. This plugin-based orchestration is far more flex- ible than traditional decision-tree approaches. The system intelligently coordinates multiple data sources, manages execution flow, and synthesizes results into a coherent answer.

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