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

IS WORK OVER?

27%

AI can already do 27% of this job.

#176 / 623

Legal 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
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
Total	100%		27%

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

IS WORK OVER?

25%

#230 / 623

Biomedical engineer

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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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