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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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