Automation index
How much of a Notary clerk’s job can AI already do?
A deed draft and an index come earlier. Protocolising, copying and not getting a fact wrong do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Notary clerk
28%
AI can already do 28% of this job.
#110 / 623
View rankingNotary clerk
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 |
|---|---|---|---|
Prepare minutes, copies and appearances.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Cross indexes, ID and registry bases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Serve the public and summon appearing parties.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Protocol, binding and notarial archive.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Settle taxes and file at the registry.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Watch deadlines, signatures and the notary’s faith.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Prepare minutes, copies and appearances
- Cross indexes, ID and registry bases
- Protocol, binding and notarial archive
- Settle taxes and file at the registry
- oficial de notaria
- oficial notarial
- notary clerk
Sources for this job· O*NET 23-2011.00· ESCO/ISCO 3343
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511