How startups in regulated industries are using AI
Access AI and development tools—not to mention expert guidance and Startup credits—when you join Microsoft for Startups. Summary PONS shares three design decisions behind its legal AI platform on Microsoft Azure, from separating public legal knowledge and customer data to using managed services and implementing security and compliance controls. The article highlights practical considerations for…
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Summary
PONS built its legal AI platform on Microsoft Azure, separating public legal knowledge from customer data to meet regulated industry needs. The platform uses Azure managed services for infrastructure, allowing the team to focus on data quality and legal accuracy. This architecture ensures data isolation, encryption, and compliance for law firms and legal teams.
Why it matters
This article details how PONS addresses the complexities of building AI for regulated sectors, specifically legal. By separating public data from private customer information and leveraging Azure's managed services, PONS demonstrates a robust approach to data security and compliance. This pattern is crucial for startups handling sensitive enterprise data, offering a blueprint for managing distinct data types and governance. It highlights a key challenge for AI development in regulated fields, where trust and data integrity are paramount.
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Rated low: routine. Worth knowing, not worth rearranging your day for.
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Questions people ask
- How does PONS protect customer data?
- PONS encrypts customer data with AES-256 at rest and in transit, keeping it isolated in separate storage and database containers within their Azure environment.
- What are the two main components of the PONS platform?
- The platform consists of the PONS Data Factory, which indexes public legal sources, and the PONS AI Engine, which processes legal documents and supports AI functions.
- Why did PONS choose managed services for its platform?
- PONS selected managed services to avoid managing undifferentiated infrastructure, allowing their team to concentrate on legal data quality, reasoning, and customer workflows.
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Page generated Sep 3, 2026. Summaries are Subvolts' own; the story belongs to Microsoft Source.