Automation index
How much of a Court processor’s job can AI already do?
A register and a scanned filing come earlier. Not losing the claim in the pile do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Court processor
29%
AI can already do 29% of this job.
#75 / 623
View rankingCourt processor
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 |
|---|---|---|---|
Register, scanning and the case number.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Allocation, copies and service on the parties.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Letters, rogatory requests and what another court wants.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The counter, the queue and the paper that is not there.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Archive, boxes and the old file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Not losing the filing, and balancing the register.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- register filings
- scan claims
- allocate cases
- court letters
- letters of request
- court counter
- box archive
- serve the parties
Sources for this job· O*NET 23-2011.00· ESCO/ISCO 3411
IS WORK OVER?
Last-mile manager
26%
#211 / 623
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324