Automation index
How much of a Judge’s job can AI already do?
Sorting the file and a first order come earlier. Sentencing a person, looking them in the eye, and signing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Judge
19%
AI can already do 19% of this job.
#516 / 643
View rankingJudge
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 |
|---|---|---|---|
Read, index and summarise the case file.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 38% | +7.6 |
Draft routine orders and procedural rulings.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Hearing, examination and adversarial argument.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Weigh evidence, credibility and context.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 10% | +1.8 |
Write and reason the judgment.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Sign, own the decision and preside.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 6% | +0.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Read, index and summarise the case file
- Weigh evidence, credibility and context
- Write and reason the judgment
- Sign, own the decision and preside
- juez
- jueza
- judge
- magistrad
Sources for this job· O*NET 23-1023.00· ESCO/ISCO 2612
IS WORK OVER?
Station master
23%
#307 / 643
View rankingStation master
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 |
|---|---|---|---|
Graph, orders and the station log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Platforms, the crossing and the late train.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Staff, shifts and the ticket-office gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Incident, passengers and the PA.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Works, closures and leaving nobody on the platform.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they do not meet, and signing the graph.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- train graph
- orders
- platforms
- ticket office
- PA
- line crossings
- station shifts
- station logs
Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323