DOC Cop
Software & technology · O*NET
DOC Cop is a software tool tracked in the Information retrieval or search software category of O*NET's Technology Skills file. It appears in the technology profile of 38 occupations that together employ about 1,500,880 workers, with a median wage of $82,020.
Across the occupations that use it, the work is 76th percentile for AI task-exposure (High) — how much of what those jobs do overlaps with what today's AI can attempt. That measures the exposure of the work, not the value of the tool or any sign it is being replaced. See where every tool category sits →
Occupations that use this tool
Occupations whose O*NET technology profile lists DOC Cop, ranked by employment. Wage and employment are BLS OEWS (national, cross-industry, May 2024) and describe the occupation, not an individual or the tool's own market.
Related tools
Other software in the Information retrieval or search software category.
- LexisNexis
- iParadigms Turnitin
- Thomson Reuters Westlaw
- Epocrates
- Apache Avro
- CGI-AMS BureauLink Enterprise
- Information systems integration software
- Medical reference software
- Technical manual database software
- Thomson Reuters Westlaw Edge
- AeroPlanner
- Coding database software
- ComBase
- Computerized aircraft log manager CALM
- Data validation software
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "DOC Cop." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/software/doc-cop
Singulariki. (2026). DOC Cop. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/software/doc-cop
@misc{singulariki-doc-cop,
title = {DOC Cop},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/software/doc-cop}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.