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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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