Automation index
How much of a Judicial secretary’s job can AI already do?
A stock minute comes earlier. Attesting the act so the case does not go crooked do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Judicial secretary
24%
AI can already do 24% of this job.
#279 / 623
View rankingJudicial secretary
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 |
|---|---|---|---|
Minutes, decrees and the court’s public faith.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Hearing, recording the act and the incident.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Case drive, reviews and the court.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Attachments, auctions and enforcement.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The judge, the parties and the competence clash.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Faith in the act, and not leaving a procedural hole.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- attest in court
- decrees
- record hearings
- attachments
- auctions
- review appeals
- drive enforcement
- public faith
Sources for this job· O*NET 23-2093.00· ESCO/ISCO 3411
IS WORK OVER?
Mobile developer
28%
#92 / 623
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