AI exposure by occupation, O*NET 43-6012.00
Will AI replace Legal Secretaries and Administrative Assistants?
Legal Secretaries and Administrative Assistants: AI can already handle 11 of 14 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 14 tasks O*NET 30.3 lists for Legal Secretaries and Administrative Assistants, from most to least exposed. 11 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Draft and type office memos. | Estimated | Efficient | |
| Prepare, proofread, or process legal documents, such as summonses, subpoenas, complaints, appeals, motions, or pretrial agreements. | Observed | Standard | |
| Prepare and distribute invoices to bill clients or pay account expenses. | Estimated | Efficient | |
| Mail, fax, or arrange for delivery of legal correspondence to clients, witnesses, and court officials. | Estimated | Efficient | |
| Make photocopies of correspondence, documents, and other printed matter. | Estimated | Efficient | |
| Assist attorneys in collecting information such as employment, medical, and other records. | Estimated | Efficient | |
| Complete various forms, such as accident reports, trial and courtroom requests, and applications for clients. | Estimated | Efficient | |
| Receive and place telephone calls. | Estimated | Standard | |
| Make travel arrangements for attorneys. | Estimated | Efficient | |
| Attend legal meetings, such as client interviews, hearings, or depositions, and take notes. | Estimated | Efficient | |
| Submit articles and information from searches to attorneys for review and approval for use. | Estimated | Standard | |
| Schedule and make appointments. | Observed | Efficient | |
| Review legal publications and perform database searches to identify laws and court decisions relevant to pending cases. | Observed | Efficient | |
| Organize and maintain law libraries, documents, and case files. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 3 of 14 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 11 of 14. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 156,280
- Median annual wage
- $55,570
- Middle half of earners
- $44,450 to $71,970
- Projected change, 2024 to 2034
- -5.8%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Paralegals and Legal Assistants 78% skill overlap, about 8 months to move Exposure66
- Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 76% skill overlap, about 8 months to move Exposure64
- Executive Secretaries and Executive Administrative Assistants 74% skill overlap, about 9 months to move Exposure47
- Medical Secretaries and Administrative Assistants 71% skill overlap, about 10 months to move Exposure63
- Judicial Law Clerks 65% skill overlap, about 12 months to move Exposure64
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Legal Secretaries and Administrative Assistants and AI
Will AI replace Legal Secretaries and Administrative Assistants?
AI already handles 11 of the 14 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 66 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -5.8% from 2024 to 2034.
What is the AI exposure of Legal Secretaries and Administrative Assistants?
66 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 3 of the 14 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 11 are estimated from each task's O*NET work activity.
Which Legal Secretaries and Administrative Assistants tasks can AI already do?
The tasks with the highest exposure are: Draft and type office memos; Prepare, proofread, or process legal documents, such as summonses, subpoenas, complaints, appeals, motions, or pretrial agreements; Prepare and distribute invoices to bill clients or pay account expenses. They are three of the 11 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Legal Secretaries and Administrative Assistants, and what do they earn?
156,280 people in the United States, with a median annual wage of $55,570 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -5.8% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Legal Secretaries and Administrative Assistants. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/legal-secretaries-and-administrative-assistants
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