Data Flow & AI Stack
Arivu’s Legal AI operates through a controlled, in-tenant data flow and a purpose-built AI stack designed for confidentiality, auditability, and legal-grade reasoning.
End-to-End Data Flow
Arivu does not ingest, crawl, or replicate your data. Each request follows a just-in-time flow governed by Microsoft 365 permissions.
- User initiates a request inside Microsoft 365 (Word, Outlook, SharePoint, or Teams).
- Arivu Resident Agent authenticates via Entra ID using delegated user access.
- Relevant documents are queried in real time from SharePoint within permission scope.
- Content is passed ephemerally to the AI inference layer for reasoning.
- AI-generated output is returned to the user; no data is stored or reused.
The AI Stack
Arivu’s AI stack is modular and enterprise-controlled, enabling deployment flexibility without compromising confidentiality.
Inference Models
Supports Azure OpenAI and private large language models. No customer data is used for model training.
Context Assembly
Assembles matter-specific context dynamically using metadata, document structure, and permissions.
Ephemeral Memory
All prompts and responses exist only for the duration of the request—no persistent memory layer.
Audit & Observability
Every interaction can be logged and audited without exposing content to external systems.
Designed for Legal Risk Management
Traditional AI systems optimize for learning and retention. Arivu optimizes for confidentiality, traceability, and control—key requirements for regulated legal environments.
Part of a Cohesive Architecture
Data Flow and AI Stack design work in concert with Arivu’s Security model, Microsoft 365 integration, and Resident Agent to deliver trustworthy Legal AI.
Built for Enterprise Legal Teams
Arivu’s architecture ensures AI assistance without introducing data leakage or governance risk.