Automation index

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

A stock minute comes earlier. Attesting the act so the case does not go crooked do not.

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

Task comparison

IS WORK OVER?

24%

AI can already do 24% of this job.

#279 / 633

Judicial secretary

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.

Task	Share	AI	Points
Minutes, decrees and the court’s public faith. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
Hearing, recording the act and the incident. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Case drive, reviews and the court. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Attachments, auctions and enforcement. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The judge, the parties and the competence clash. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Faith in the act, and not leaving a procedural hole. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		24%

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

IS WORK OVER?

24%

#273 / 633

Internist

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.

Task	Share	AI	Points
Cross labs, imaging and a differential. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Ward round, examination and decisions. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Explain to family and ceilings of care. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Discharge reports, consults and boards. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Medical on-call and difficult patients. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Team, residents and not fragmenting the patient. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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