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

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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