IS WORK OVER?

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

Legal 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.

TaskShareAIPoints
Filings, deadlines and the court.
Estimate

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

18%48%+8.6
Appointments, the client and the one who is late.
Estimate

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

16%40%+6.4
Copies, notices and the procurator.
Estimate

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

16%22%+3.5
Bill, the procurator and not losing the receipt.
Estimate

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

16%28%+4.5
Counsel, the rush and not sending the draft.
Estimate

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

18%14%+2.5
The deadline alive, and the paper at court.
Estimate

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

16%12%+1.9
Total100%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

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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