Legal secretaries

SOC 2020 code 4212

Legal secretaries file and maintain legal and other records, transcribe notes and dictation into typewritten form and perform other routine clerical tasks in legal practices.

Employees (UK)
22k
Median annual pay
£24,263
Exposure score ?
3.7/10 Low direct 3.7 · with tools 10.0
Wage exposure
£198m

Higher exposure than 92% of the 379 UK occupations we scored.

What this score means

A handful of tasks in this role are touchable by AI, mostly around paperwork, scheduling and basic writing. The shape of the role stays the same - some parts just get faster.

If you're in this role, here's what to do now

Pick the two or three most repetitive things in your week and try an LLM on them. Most people underestimate what Claude or ChatGPT can already do for admin-shaped work. The time you get back is the dividend.

The tasks in this role, ranked by AI exposure

Below are the real tasks O*NET records for this occupation, sorted highest exposure first. "AI can do this" means a language model can already handle the task directly. "AI can help" means an LLM can assist but not replace. "Human work" means today's AI doesn't touch it. Importance is O*NET's 1–5 rating of how central each task is to the role.

5 of 14 tasks in this role are things an AI can already do today. Task list mapped via O*NET "Legal Secretaries and Administrative Assistants" (43-6012.00).

  1. Mail, fax, or arrange for delivery of legal correspondence to clients, witnesses, and court officials.

    AI can do thisimportance 4.3/5
  2. Prepare and distribute invoices to bill clients or pay account expenses.

    AI can do thisimportance 4.3/5
  3. Prepare, proofread, or process legal documents, such as summonses, subpoenas, complaints, appeals, motions, or pretrial agreements.

    AI can do thisimportance 4.3/5
  4. Complete various forms, such as accident reports, trial and courtroom requests, and applications for clients.

    AI can do thisimportance 4.1/5
  5. Draft and type office memos.

    AI can do thisimportance 3.4/5
  6. Organize and maintain law libraries, documents, and case files.

    Human workimportance 4.3/5
  7. Make photocopies of correspondence, documents, and other printed matter.

    Human workimportance 4.2/5
  8. Assist attorneys in collecting information such as employment, medical, and other records.

    Human workimportance 4.1/5
  9. Receive and place telephone calls.

    Human workimportance 4.1/5
  10. Schedule and make appointments.

    Human workimportance 4.0/5
  11. Submit articles and information from searches to attorneys for review and approval for use.

    Human workimportance 3.9/5
  12. Make travel arrangements for attorneys.

    Human workimportance 3.8/5
  13. Attend legal meetings, such as client interviews, hearings, or depositions, and take notes.

    Human workimportance 3.4/5
  14. Review legal publications and perform database searches to identify laws and court decisions relevant to pending cases.

    Human workimportance 3.3/5

Where a project with Alex usually starts for this role

These are the highest-importance tasks in this role that a language model can already handle directly. In a typical engagement the first wins come from building workflows around these, so they stop eating your team's time.

  1. Mail, fax, or arrange for delivery of legal correspondence to clients, witnesses, and court officials.

    O*NET importance 4.3/5 · labelled directly AI-automatable

  2. Prepare and distribute invoices to bill clients or pay account expenses.

    O*NET importance 4.3/5 · labelled directly AI-automatable

  3. Prepare, proofread, or process legal documents, such as summonses, subpoenas, complaints, appeals, motions, or pretrial agreements.

    O*NET importance 4.3/5 · labelled directly AI-automatable

Every role has three or four wedges like these. Finding them takes an hour. Turning them into a workflow your team actually uses takes a few days. Talk to Alex about a project →

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Methodology

This role's exposure score comes from Eloundou et al's 2023 GPT task labels, aggregated by O*NET importance within each O*NET-SOC code, then bridged to UK SOC 2020 via ISCO-08 (ONS Vol 2 coding index) and US SOC 2010 (BLS crosswalk). Employment and median pay come from ONS ASHE Table 14.7a, 2025 provisional. ASHE covers employees only, so self-employed workers are not counted.

Methodology · Sources (PDF) · About · Built 23 April 2026

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