2026 Education Series – Session 4: Build vs. Buy: The Hidden Cost of DIY Lease Abstraction AI

Speakers: Thomas Sheehan & Carla Hinson, MRI Real Estate Software

• Time: 1:00 – 2:00 PM EST
• Date: November 19, 2026
• Location: Zoom

Build vs. Buy: The Hidden Cost of DIY Lease Abstraction AI

AI is transforming lease abstraction, and many organizations are exploring whether to build their own solution or invest in a purpose-built platform. While extracting data from a lease may appear straightforward, delivering consistent, auditable and scalable results across an entire portfolio is far more complex.

Leases vary significantly in structure, language and risk profile, requiring more than a single AI model and a set of prompts to achieve reliable outcomes. At the same time, increasing regulatory scrutiny is raising the bar for transparency, accountability and governance. Organizations need confidence not only in the results AI produces, but also in their ability to verify, explain and defend those results.

In this webinar, we’ll explore the true cost of building and maintaining a lease abstraction AI solution, including model management, governance, auditability and the ongoing investment required to keep pace with an evolving AI landscape. We’ll take a closer look at the critical questions every organization should consider:

• How are outputs validated?
• Can every value be traced back to source?
• And who is responsible for maintaining the solution as technology and regulatory requirements change?

You’ll also discover how MRI Software’s lease management solution – Contract Intelligence – addresses these challenges through multi-agent AI, expert human validation and a complete audit trail for every extracted value, seamlessly connected to existing MRI property management solutions.

Join us to learn why successful lease abstraction requires more than AI-powered extraction. It requires a trusted, scalable and future-ready approach that organizations can rely on across their portfolios.

Register now to discover how to deploy lease abstraction AI with confidence.