Skip to content
Singulariki

Court, Municipal, and License Clerks

Occupation · SOC 43-4031.00

Perform clerical duties for courts of law, municipalities, or governmental licensing agencies and bureaus. May prepare docket of cases to be called; secure information for judges and court; prepare draft agendas or bylaws for town or city council; answer official correspondence; keep fiscal records and accounts; issue licenses or permits; and record data, administer tests, or collect fees.

Also called: City Clerk · Court Clerk · License Clerk · Town Clerk · City Recorder · License Specialist · Motor Vehicle Field Representative (MVFR) · Motor Vehicle Licensing Clerk · Municipal Clerk · Permits Specialist · Agent Licensing Clerk · Animal Control Licensing Worker

Job family: Office and Administrative Support Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-43-4031-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

88th-percentile task overlap — yet about 18,500 openings a year (+3% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) High 82nd 1.2
LLM task exposure, γ (OpenAI / Eloundou) High 89th 1.0
AI assistant applicability (Microsoft) High 79th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.4), with simple added tooling (β 0.7), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.5 · 45th percentile among occupations · Moderate

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Respond to requests for information from the public, other municipalities, state officials, or state and federal legislative offices. 1.3%
Answer questions or provide advice to the public regarding licensing policies, procedures, or regulations. 1.1%
Prepare documents recording the outcomes of court proceedings. 0.8%
Prepare meeting agendas or packets of related information. 0.8%
Verify the authenticity of documents, such as foreign identification or immigration documents. 0.8%
Answer inquiries from the general public regarding judicial procedures, court appearances, trial dates, adjournments, outstanding warrants, summonses, subpoenas, witness fees, or payment of fines. 0.7%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +3.0% by 2034
Projected annual openings 18,500
Employment 2024 → 2034 180,400 → 185,900

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

43% mean task exposure (2025)
81st percentile of 427 placed occupations
−20 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Government Licensing Officials · 3354 43% Gradient 2

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 4.5
Administrative 4.3
Law and Government 4.1
English Language 4.0
Administration and Management 3.5
Computers and Electronics 3.4
Mathematics 2.9
Personnel and Human Resources 2.8
Public Safety and Security 2.7
Economics and Accounting 2.7
Education and Training 2.6

Abilities

Oral Comprehension 3.9
Oral Expression 3.8
Near Vision 3.6
Written Comprehension 3.5
Speech Recognition 3.5
Written Expression 3.4
Problem Sensitivity 3.4
Deductive Reasoning 3.4
Information Ordering 3.4
Speech Clarity 3.4
Inductive Reasoning 3.3
Category Flexibility 3.1
Flexibility of Closure 2.9
Selective Attention 2.9
Wrist-Finger Speed 2.8

Essential skills

Active Listening 3.6
Speaking 3.6
Reading Comprehension 3.4
Writing 3.4
Critical Thinking 3.3
Monitoring 3.0
Active Learning 2.6

Transferable skills

Social Perceptiveness 3.3
Service Orientation 3.1
Time Management 3.1
Coordination 3.0
Judgment and Decision Making 3.0
Complex Problem Solving 2.9
Management of Personnel Resources 2.8

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 42.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft Word Word processing software Hot technology In demand
Adobe Acrobat Document management software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Zoom Video conferencing software Hot technology
Abilis CORIS Offender Management System Data base user interface and query software
Corel WordPerfect Office Suite Office suite software
Data Technologies Summit Data base reporting software
Email software Electronic mail software
IBM Judicial Enforcement Management System JEMS Data base user interface and query software
IBM Notes Electronic mail software
LexisNexis Information retrieval or search software
Spreadsheet applications Spreadsheet software
Syscon Court Clerk Project management software
Thomson Reuters Westlaw Information retrieval or search software
Work scheduling software Calendar and scheduling software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Telephone Conversations 4.8
Contact With Others 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.7
E-Mail 4.7
Deal With External Customers or the Public in General 4.4
Importance of Being Exact or Accurate 4.4
Written Letters and Memos 4.2
Spend Time Sitting 4.2
Importance of Repeating Same Tasks 4.2
Indoors, Environmentally Controlled 4.2
Determine Tasks, Priorities and Goals 4.2
Work With or Contribute to a Work Group or Team 4.2
Time Pressure 4.1
Dealing With Unpleasant, Angry, or Discourteous People 3.9
Freedom to Make Decisions 3.9
Frequency of Decision Making 3.6
Spend Time Making Repetitive Motions 3.5
Impact of Decisions on Co-workers or Company Results 3.5
Coordinate or Lead Others in Accomplishing Work Activities 3.4
Physical Proximity 3.3
Conflict Situations 3.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.0
Health and Safety of Other Workers 2.6
Work Outcomes and Results of Other Workers 2.6
Consequence of Error 2.6
Degree of Automation 2.6
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.5
Public Speaking 2.3
Spend Time Standing 2.3
Level of Competition 2.0
Spend Time Bending or Twisting Your Body 2.0
Dealing with Violent or Physically Aggressive People 2.0
Spend Time Walking or Running 1.8
Exposed to Contaminants 1.7
Exposed to Cramped Work Space, Awkward Positions 1.6
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.5
Pace Determined by Speed of Equipment 1.4
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.4
Exposed to Very Hot or Cold Temperatures 1.3
Exposed to Disease or Infections 1.3

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 50.0%
Some College Courses 17.7%
Associate's Degree (or other 2-year degree) 13.1%
Bachelor's Degree 10.4%
First Professional Degree 3.4%
Less than a High School Diploma 2.5%
Post-Secondary Certificate 2.4%
Post-Baccalaureate Certificate 0.5%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Office Work 6.5
Law 4.2
Accounting 3.4
Management/Administration 3.0
Personal Service 2.2
Human Resources 2.0
Finance 2.0

Career interests (Holland / RIASEC)

Conventional 6.2
Enterprising 4.2
Social 3.5
Realistic 2.0
Investigative 1.9

Work styles

Dependability 4.0
Attention to Detail 3.0
Integrity 2.4
Cautiousness 2.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$35k10th$40k25th$48kMedian$60k75th$72k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
180k2024186k2034 (proj.)+3.0% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $34,860
25th percentile $39,730
Median (50th) $47,700
75th percentile $59,590
90th percentile $72,370
People employed 170,010

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Administrative and Support and Waste Management and Remediation Services · Sector 1,830 $33,530
Professional, Scientific, and Technical Services · Sector 400 $37,280
Retail Trade · Sector 130 $41,100
Other Services (except Public Administration) · Sector 130 $45,640
Health Care and Social Assistance · Sector 110 $34,410
Temporary Help Services · National industry $33,950

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Administrative and Support and Waste Management and Remediation Services · Sector 0.18× 1,830
Professional, Scientific, and Technical Services · Sector 0.03× 400
Other Services (except Public Administration) · Sector 0.03× 130
Retail Trade · Sector 0.01× 130
Health Care and Social Assistance · Sector 110

Part of the Public Service & Safety career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Court, Municipal, and License Clerks sits at the 88th percentile of AI task-overlap and the 28th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Court, Municipal, and License Clerks Paralegals and Legal Assistants Title Examiners, Abstractors, and Searchers Compliance Officers Office Clerks, General Receptionists and Information Clerks Court Reporters and Simultaneous Captioners Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Executive Secretaries and Executive Administrative Assistants AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Court, Municipal, and License Clerks — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 81st percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Court, Municipal, and License Clerks show 88th-percentile AI task overlap — and about 18,500 annual U.S. openings

  • Court, Municipal, and License Clerks rank in the 88th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 18,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+3%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $47,700, across about 170,010 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Court, Municipal, and License Clerks show 88th-percentile AI task overlap — and about 18,500 annual U.S. openings

• Court, Municipal, and License Clerks rank in the 88th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 18,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+3%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $47,700, across about 170,010 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Court, Municipal, and License Clerks". https://singulariki.com/roles/role-43-4031-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Court, Municipal, and License Clerks." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-43-4031-00

APA

Singulariki. (2026). Court, Municipal, and License Clerks. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-43-4031-00

BibTeX
@misc{singulariki-role-43-4031-00,
  title  = {Court, Municipal, and License Clerks},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-43-4031-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

Embed this chart

Paste this into any page. It links back here for attribution.