The Challenge

Wood Investments, Inc., a family-run enterprise based in Newport Beach, California, has been building retail success since 1973—acquiring, owning, operating, and developing commercial retail shopping centers across the western United States. With properties spanning California, Idaho, Ontario, and beyond, the portfolio had grown significantly over the decades—and continues to grow fast. But managing a legacy portfolio while actively acquiring new properties created a compounding challenge.

Each acquisition brought a different former owner, a different property management company, and a different approach to lease data. Abstracts varied wildly—some were bare-bones summaries with charge start and end dates and basic rights, others were structured differently altogether. The underlying leases were just as inconsistent—a mix of landlord forms and tenant forms with no standard language or structure. Rent might be on page one or page fifty. CAM inclusions and exclusions could have been amended half a dozen times over the life of a single lease.

Across roughly 250 leases and amendments—many dating back to the 1970s—the portfolio also included carve-outs, waivers, easements, SNDAs, and memoranda of lease. And because the properties were predominantly leased by national tenants, the complexity multiplied: co-tenancy requirements, exclusive use rights, prohibited tenant restrictions, franchisor rights, and rogue tenant violation clauses were woven throughout—each one unique, each one consequential.

The lean internal team wore many hats—acquisition analysis, leasing optimization, tenant relations—but they were spending more time searching for information than acting on it. Leases lived on a shared Z drive, and Ctrl+F only went so far. Finding a specific right, obligation, or amendment buried across decades of documents could eat up hours that should have been spent doing the actual work. When answers couldn't be found internally, the team had to go to outside counsel for clarification—adding cost, delay, and a dependency that slowed down decisions on deals that needed to move quickly.

The team evaluated six alternative options. Price mattered—some ran $60,000+ per year, effectively the cost of another employee. But the bigger issue was capability. None were AI augmented with experts; each required significant human effort to make the technology work. They lacked flexibility to process continuously updating lease insights—from signing through construction, where a single deal could generate dozens of amendments extending permit or inspection periods—and none could deliver a holistic view that incorporated what lived in easements, memoranda of lease, estoppels, and other ancillary documents alongside the core leases.