Automation index
How much of a Legal secretary’s job can AI already do?
A stock filing comes earlier. The deadline not dying and counsel having the paper do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Legal secretary
27%
AI can already do 27% of this job.
#176 / 623
View rankingLegal 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 |
|---|---|---|---|
Filings, deadlines and the court.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Appointments, the client and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Copies, notices and the procurator.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Bill, the procurator and not losing the receipt.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Counsel, the rush and not sending the draft.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
The deadline alive, and the paper at court.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- filings
- procedural deadlines
- notices
- procurator
- office appointments
- copies
- receipts
- the court
Sources for this job· O*NET 43-6012.00· ESCO/ISCO 3343
IS WORK OVER?
Prompt engineer
34%
#21 / 623
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