Issue link: https://resources.tangoanalytics.com/i/1536796
Smarter Leasing Solving Lease Management's Challenges with AI Lease management is inherently high-stakes. Every lease carries financial implications, legal obligations, and operational impacts. But when portfolios grow through expansion, acquisition, or geographic diversification, so too does the complexity of management. The risks multiply, and the limits of manual oversight become harder to ignore. Copyright © 2025 Tango. All rights reserved. www.tangoanalytics.com 4 Lease Abstraction: Eliminating the Bottleneck of Manual Labor Lease abstraction is one of the most time- consuming and error-prone processes in real estate operations. Teams must parse hundreds of pages across multiple documents, extracting key data points like clauses, dates, financial terms, obligations, and re-enter them into lease systems. AI can offer significant support in this arena. GenAI and semantic models can interpret unstructured text, extract relevant terms, summarize clauses, and even learn to improve based on user feedback in seconds. Clause Tracking Clauses are the legal DNA of a lease. From CAM responsibilities to force majeure provisions, missing or misunderstanding a clause can create costly consequences. In traditional systems, these clauses are buried in PDFs, inconsistently labeled, and inconsistently abstracted. AI changes that by identifying, labeling, and tracking clauses dynamically across an entire portfolio, even when language varies from lease to lease. With semantic search and clause mapping, teams can now ask, "Which leases contain a co-tenancy clause?" and get an immediate, reliable answer. Renewals and Options: Never Miss a Date Missing a renewal window or failing to exercise an option can be a six- or seven- figure mistake. Manual calendars and email reminders aren't enough in environments with hundreds or thousands of active leases. AI powers critical date monitoring and