How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Escort prisoners to and from courthouse and maintain custody of prisoners during court proceedings.74
- Enforce courtroom rules of behavior and warn persons not to smoke or disturb court procedure.74
- Provide assistance to the public, such as directions to court offices.74
- Maintain order in courtroom during trial and guard jury from outside contact.74
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Provide security by patrolling interior and exterior of courthouse and escorting judges and other court employees.01
- Screen, control, and handle evidence and exhibits during court proceedings.02
- Check courtroom for security and cleanliness and assure availability of sundry supplies, such as notepads, for use by judge, jurors, and attorneys.03
- Screen persons entering courthouse using magnetometers, x-ray machines, and other devices to collect and retain unauthorized firearms and other contraband.04
- Escort prisoners to and from courthouse and maintain custody of prisoners during court proceedings.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Police and Sheriff's Patrol Officers
Closely related work
Compare these careers →Detectives and Criminal Investigators
Closely related work
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Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
