Manual lease abstraction is a high-cost, high-risk bottleneck in acquisitions and portfolio management, consuming hundreds of analyst hours per deal and introducing valuation errors. A custom multi-agent workflow automates this by deploying specialized AI agents—each trained on specific clause types like rent escalations, options, or covenants—to parse documents collaboratively. This architecture directly reduces legal review time by 70-80% and creates a structured, auditable data feed for downstream valuation models, improving underwriting speed and portfolio decision quality.




