Automation index
How much of a Court case manager’s job can AI already do?
A filing nudge comes earlier. Not letting the deadline die, and the judge having the order, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Court case manager
29%
AI can already do 29% of this job.
#61 / 623
View rankingCourt case 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.
| Task | Share | AI | Points |
|---|---|---|---|
Drive the case, copies and the status.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Steps, notices and gazetting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Listings, diaries and the court that overflows.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The lawyer who rings, the citizen and the counter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
File, certified copy and what the senior asks.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The deadline, and not letting the case die.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive proceedings
- serve notices
- listings
- gazetting
- certified copies
- court archive
- procedural deadlines
- serve the counter
Sources for this job· O*NET 23-2011.00· ESCO/ISCO 3411
IS WORK OVER?
Data architect
28%
#83 / 623
View rankingData architect
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.
| Task | Share | AI | Points |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511