A leading technology company engaged Barnes & Thornburg's real estate practice to support a large portfolio of real estate transactions. The firm's AI Transformation Team and real estate teams partnered to explore how AI could improve efficiency, reduce manual effort, and lower legal spend while helping attorneys navigate complex real estate agreements more effectively.

Challenge

The team faced a heavy manual workload across a large volume of deal lifecycle transactions. Reviewing agreements, extracting key timelines, and tracking deal milestones required substantial attorney time and were difficult to manage at scale. The team needed a solution that would help new associates and law clerks familiarize themselves quickly while maintaining the accuracy and quality of the work product.

Approach

The AI Transformation Team partnered with the firm’s real estate attorneys to deploy an AI-powered legal technology platform to support real estate agreement review across the deal lifecycle. The team used AI-assisted workflows to analyze agreements, extract timelines, generate closing checklists, build dynamic deal trackers, and produce targeted issues lists. Each workflow was tailored to the client's real estate review process and refined over time to improve efficiency and consistency.

Impact

The team reduced manual workload, accelerated transaction timelines, improved deal readiness, and increased visibility into key milestones and risks. The project established a repeatable model for integrating AI into high-volume real estate transactions that can be applied across future engagements. The resulting workflows also helped reduce legal spend across the client’s transaction portfolio.