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Case Study: A US retail REIT achieves $2M+ in savings automating contract review across a $6.8B acquisition portfolio

US Retail REIT Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
US Retail REIT
Industry
Real Estate
Challenge
Attorneys read 400-500 leases cover-to-cover each year, manually extracting about 30 fields per lease.
Headline result
A publicly traded retail net-lease REIT documented over $2 million in tracked savings by automating lease review across a $6.8 billion acquisition portfolio with Leah.

Key results

$2M+
Tracked savings documented through platform analytics
since implementation
~2 hrs
Time saved per deal
across 400-500 annual transactions
$6.8B
Acquisition portfolio under automated review
since 2018
400-500
Lease transactions reviewed per year

The challenge

A publicly traded retail net-lease REIT managing 2,200+ properties across 49 states had completed $6.8 billion in acquisitions since 2018 and executed 400-500 lease transactions annually. At the front of every deal, attorneys read leases cover-to-cover while manually typing roughly 30 data fields into Word documents, repeating identical work even for similar lease forms from the same national retailers. Routine extraction work was also being handled by external counsel at around $500 per hour.

The solution

The REIT adopted Leah to automate lease underwriting and data extraction, allowing attorneys to generate an underwriting analysis on demand and validate the output rather than perform full manual review and data entry.

The results, in context

Platform analytics documented more than $2 million in tracked savings since implementation, with roughly two hours saved per deal across 400-500 annual transactions. Adoption spread organically as other departments, including asset management, requested access after the legal team's results.

Products used

ContractPodAi (Leah) Leah Agentic CLM