Research and combine existing property information to describe property boundaries in relation to adjacent properties,…
Research and combine existing property information to describe property boundaries in relation to adjacent properties, taking into account parcel splits, combinations, or land boundary adjustments.
Task automation exposure
Low exposure
Exposure basis
[v4/median] score 30 (raw 30 | A 85 / B 15 / C 30 | modality: other) Current GIS software and AI-driven data integration tools can automatically parse deed descriptions, overlay parcel data, and generate boundary descriptions with high accuracy, though complex legal ambiguities or conflicting historical records may still require human review. (capable: GIS software (e.g., ArcGIS, QGIS) with AI-assisted data parsing and spatial analysis modules)
0 capabilities · 1 occupations
Basis
How exposure was assessed
[v4/median] score 30 (raw 30 | A 85 / B 15 / C 30 | modality: other) Current GIS software and AI-driven data integration tools can automatically parse deed descriptions, overlay parcel data, and generate boundary descriptions with high accuracy, though complex legal ambiguities or conflicting historical records may still require human review. (capable: GIS software (e.g., ArcGIS, QGIS) with AI-assisted data parsing and spatial analysis modules)
How much of this task's output current AI can produce or substantially assist.
Best current model strength on any capability this task requires.
This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.
Occupations
Occupations that perform this task (1)
Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.
| Occupation | Industry | Importance | Role | Occupation AI exposure |
|---|---|---|---|---|
| Surveying and Mapping Technicians | Cross-industry | 3.9/5 | core | 12 |
Evidence
Evidence (0)
No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.