IS WORK OVER?

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

Notary 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.

TaskShareAIPoints
Prepare minutes, copies and appearances.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Cross indexes, ID and registry bases.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Serve the public and summon appearing parties.
Estimate

No public source provides a precise figure. This is our estimate.

18%22%+4
Protocol, binding and notarial archive.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Settle taxes and file at the registry.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Watch deadlines, signatures and the notary’s faith.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Data architect

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.

TaskShareAIPoints
Models, lineage and the catalogue.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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