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 / 633
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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512