United KingdomPublic sector2022 – ongoingHM Land Registry
Computer vision and machine learning for document comparison
HM Land Registry reported 50% less document review time with AI comparison
Problem
Caseworkers manually searched and cross-checked application documents for differences. This work took time away from more complex cases.
Approach
HM Land Registry developed a document comparison tool using computer vision and machine learning. It marked differences between documents with red boxes so caseworkers could find changes without manually searching throughout the forms.
Results
Takeaway
The tool reduced the comparison work within document review. The reported saving did not measure the time needed to complete an entire registration application.
Categories
- Industry
- Public sector
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer visionPredictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
HM Land Registry described caseworker use of computer vision and machine learning to compare application documents. It reported a 50% reduction in document review time against manual approaches.
Full details are in the original sources.