Automation index
How much of a Government lawyer’s job can AI already do?
A memo and a first appeal come earlier. Defending the administration and owning the view do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Government lawyer
28%
AI can already do 28% of this job.
#107 / 623
View rankingGovernment lawyer
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 |
|---|---|---|---|
Advise on files, appeals and tender documents.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Draft claims, pleadings and closings.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Hearings, negotiation and oral advocacy.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Coordinate with the body and other counsel.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Track deadlines, doctrine and judgments.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Judgement, sign-off and liability for the opinion.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
- advise clients
- draft contracts
- litigate
- interpret law
- Draft claims, pleadings and closings
- Hearings, negotiation and oral advocacy
- Coordinate with the body and other counsel
- Track deadlines, doctrine and judgments
- letrado de la administracion
- abogado del estado
Sources for this job· O*NET 23-1011.00· ESCO/ISCO 2611
IS WORK OVER?
Agile coach
24%
#257 / 623
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo 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
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421