Built to satisfy the most demanding
firms in India.
From DPDP compliance to database-level tenant isolation, every architectural decision was made with the security requirements of India's top law firms in mind.
India. Always.
AWS Mumbai as primary region with Hyderabad as disaster recovery. All client data stays in India — no cross-border transfer without explicit, documented, and client-approved consent. Region-aware architecture enforced at the code level, not just the policy level. Data residency is not a feature. It is a constraint built into how the system works.
Every firm in its own database.
Every firm's data lives in a separate database instance — not a shared database with row-level security. Full database-level isolation. A bug in one firm's environment cannot expose another firm's data. For legal software holding privileged client information, this is non-negotiable. Shared-database architectures carry unacceptable exposure risk for data of this sensitivity.
Indian data protection law. Built in.
Data Processing Agreements with every firm before onboarding. Data subject rights management — access, correction, and deletion requests handled within statutory timelines. Automated retention and deletion policy engine — data does not persist beyond what is legally required or contractually permitted. Breach notification readiness with documented response procedures. Reviewed by Indian data protection counsel.
Privilege enforced at the data layer.
BSA 2023 privilege awareness throughout the platform. Privileged documents are flagged, access-controlled, and excluded from AI processing that would breach privilege. Ethical walls enforced at the data layer — information barriers between conflicting matters enforced not just in the application but in how data is stored and retrieved. Role-based access matching the actual Indian firm hierarchy — a junior associate sees their matters and nothing more.
Your data never trains anyone's model.
Zero client data in model training pipelines — not ours, not the underlying model provider's. Firm data never leaves the firm's own database instance. AI requests are grounded in the firm's data through retrieval — the model never retains or learns from client content. Provider data-handling agreements verified for privileged content before any firm goes live. The AI layer can be audited: every query, every retrieved document, every output is logged.
Complete, immutable audit trail.
Every action across the platform is logged immutably — who saw what, who changed what, when, from where. AES-256 encryption at rest and in transit with India-region key management. Audit logs available for export on demand. Security documentation provided for firm IT and risk reviews. ISO 27001 and SOC 2 Type II certification in progress.