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.
#430 / 633
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?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514