United StatesReal estate2026 – ongoingCoStar Group
Internal AI for public-record research and lease-data extraction
CoStar reported efficiencies from internal AI research and document extraction
Problem
CoStar's property-information business required research into public records and extraction of lease data. The company sought to reduce the cost of this work.
Approach
CoStar deployed an internal AI platform across its business. It reported efficiencies in public-record research and lease-data extraction, alongside content creation and coding. By January 2026, management had included the associated savings in its financial outlook.
Results
No published figures
Takeaway
CoStar did not disclose separate savings or accuracy measures for research and extraction. Its financial outlook combined AI savings with other business initiatives.
Categories
- Size
- Large enterprise
- Industry
- Real estate
- Business function
- Internal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
CoStar reported that deployed AI had improved several internal workflows, including property research and lease-data extraction. It included savings in its outlook without quantifying individual projects.
Full details are in the original sources.
