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?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421