Automation index
How much of a Court officer’s job can AI already do?
A summons form comes earlier. Serving it in person so the deadlines do not slip do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Court officer
21%
AI can already do 21% of this job.
#439 / 643
View rankingCourt officer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Summons, notices and the day’s list.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Serve in person, attach and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Courtroom, call cases and the order of the hearing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Custody of exhibits, deposits and the transfer.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The hard address and the note to the secretary.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That service is on record, and not losing the exhibit.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- serve summons
- attach goods
- call cases
- keep exhibits
- gazetting
- serve in person
- move deposits
- courtroom order
Sources for this job· O*NET 33-3012.00· ESCO/ISCO 3411
IS WORK OVER?
Tram driver
19%
#496 / 643
View rankingTram driver
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311