IS WORK OVER?

Automation index

How much of a Judge’s job can AI already do?

Sorting the file and a first order come earlier. Sentencing a person, looking them in the eye, and signing do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Judge

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
Read, index and summarise the case file.
Estimate

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

20%38%+7.6
Draft routine orders and procedural rulings.
Estimate

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

16%32%+5.1
Hearing, examination and adversarial argument.
Estimate

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

18%12%+2.2
Weigh evidence, credibility and context.
Estimate

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

18%10%+1.8
Write and reason the judgment.
Estimate

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

16%12%+1.9
Sign, own the decision and preside.
Estimate

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

12%6%+0.7
Total100%19%

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

Skills and activities

  • Read, index and summarise the case file
  • Weigh evidence, credibility and context
  • Write and reason the judgment
  • Sign, own the decision and preside
  • juez
  • jueza
  • judge
  • magistrad

Sources for this job· O*NET 23-1023.00· ESCO/ISCO 2612

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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