PropWise: AI Lease Abstracting and Compliance Monitoring

Commercial real estate portfolios contain hundreds of leases with critical dates, clauses, and compliance obligations. PropWise was built to extract and monitor those details using local AI, so firms can track obligations in real time without exposing sensitive documents to external APIs or cloud providers.

How does PropWise abstract leases locally?

Lease documents are first converted to text using on-device OCR. A local LLM then extracts key terms such as rent escalations, renewal options, and default clauses. The extracted data is structured into a JSON format and stored encrypted on the user's device, with only anonymized metadata synced to the Vercel dashboard.

How is compliance monitoring automated?

The platform continuously compares extracted dates and obligations against a rule engine and calendar feed. Users receive alerts for rent reviews, insurance renewals, and termination windows. The monitoring loop runs locally, so every reminder and report is generated without sending the underlying lease text to the cloud.

What is the technical architecture?

PropWise combines a Next.js dashboard deployed on Vercel with a local inference layer built on ONNX Runtime and edge-optimized language models. Lease text is processed inside a secure sandbox, and structured results are synced through an encrypted API. PostgreSQL stores anonymized metadata and user preferences on the backend.

What were the business outcomes?

Lease abstraction time dropped by approximately seventy percent, and one hundred percent of client documents remained on-device. The firm now tracks over five hundred critical dates automatically and has reduced missed renewal windows and compliance penalties by more than half.