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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
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

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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