IS WORK OVER?

Automation index

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

A register and a scanned filing come earlier. Not losing the claim in the pile do not.

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

Task comparison

Court processor

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
Register, scanning and the case number.
Estimate

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

18%52%+9.4
Allocation, copies and service on the parties.
Estimate

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

16%40%+6.4
Letters, rogatory requests and what another court wants.
Estimate

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

16%28%+4.5
The counter, the queue and the paper that is not there.
Estimate

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

18%18%+3.2
Archive, boxes and the old file.
Estimate

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

16%22%+3.5
Not losing the filing, and balancing the register.
Estimate

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

16%14%+2.2
Total100%29%

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

Skills and activities

  • register filings
  • scan claims
  • allocate cases
  • court letters
  • letters of request
  • court counter
  • box archive
  • serve the parties

Sources for this job· O*NET 23-2011.00· ESCO/ISCO 3411

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
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

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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