--- NATIONAL WAGES ---
  total_employment : 46,760
  annual_median    : $72,110
  annual_pct10     : $43,800
  annual_pct25     : $54,940
  annual_pct75     : $109,360
  annual_pct90     : $179,960
  annual_mean      : $89,660
  hourly_median    : $34.67

--- GEOGRAPHIC DISPERSION ---
  highest_state    : Virginia ($179,960)
  lowest_state     : Iowa ($44,470)
  dispersion_ratio : 4.047x

--- TOP STATES BY WAGE (46 total) ---
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:   25,640  median: $  81,420
  Professional, Scientific, and Technical Services emp:   12,200  median: $  62,430
  Educational Services                     emp:    1,490  median: $  90,200
  Finance and Insurance                    emp:    1,160  median: $  68,060
  Information                              emp:    1,060  median: $  80,810
  Management of Companies and Enterprises  emp:      810  median: $  80,460
  Health Care and Social Assistance        emp:      730  median: $  53,080
  Other Services (except Public Administration) emp:      630  median: $  61,330
  Retail Trade                             emp:      290  median: $  49,660
  Manufacturing                            emp:      260  median: $ 105,320

--- TOP INDUSTRIES BY EMPLOYMENT (14 total) ---
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:   25,640  median: $  81,420
  Professional, Scientific, and Technical Services emp:   12,200  median: $  62,430
  Educational Services                     emp:    1,490  median: $  90,200
  Finance and Insurance                    emp:    1,160  median: $  68,060
  Information                              emp:    1,060  median: $  80,810
  Management of Companies and Enterprises  emp:      810  median: $  80,460
  Health Care and Social Assistance        emp:      730  median: $  53,080
  Other Services (except Public Administration) emp:      630  median: $  61,330
  Retail Trade                             emp:      290  median: $  49,660
  Manufacturing                            emp:      260  median: $ 105,320

exact_match_status : no_exact_match
matched_title      : N/A
match_score        : 0.0000
wikidata_qid       : N/A
word_count         : 0
wikipedia_url      : N/A
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T21:03:17.397899Z

--- SEMANTIC NEIGHBORS (5) ---

  Title: Women in the United States (similarity: 0.2759)
  URL: https://en.wikipedia.org/wiki/Women_in_the_United_States
  QID: Q17514041
  Extract: The legal status of women in the United States has advanced significantly over the past two centuries, but not yet equal to that of men in comparison to other high-income democracies.

  Title: Legal aid (similarity: 0.3415)
  URL: https://en.wikipedia.org/wiki/Legal_aid
  QID: Q707748
  Extract: Legal aid is the provision of assistance to people who are unable to afford legal representation and access to the court system. Legal aid is regarded as central in providing access to justice by ensuring equality before the law, the right to counsel and the right to a fair trial. This article descr

  Title: Sex worker (similarity: 0.3810)
  URL: https://en.wikipedia.org/wiki/Sex_worker
  QID: Q852857
  Extract: A sex worker is a person who provides sex work, either on a regular or occasional basis. The term is used in reference to those who work in all areas of the sex industry. According to one view, sex work is voluntary "and is seen as the commercial exchange of sex for money or goods". Thus it differs 

  Title: List of sex worker organizations (similarity: 0.4062)
  URL: https://en.wikipedia.org/wiki/List_of_sex_worker_organizations
  QID: Q21015588
  Extract: 

This is a list of organizations which advocate for sex workers' rights.
Almost all sex worker organizations around the world favour the decriminalization of sex work, and have that goal as a primary objective. These organizations also encourage active involvement from sex workers to support advoca

  Title: International Workers' Day (similarity: 0.4483)
  URL: https://en.wikipedia.org/wiki/International_Workers'_Day
  QID: Q47499
  Extract: International Workers' Day, also called Labour Day in some countries and often referred to as May Day, is a celebration of labourers, the labour movement and the working class that is marked every year on 1 May, or the first Monday in May.

model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : medium
confidence_notes     : Confidence is medium due to the catch-all nature of this SOC code, which encompasses diverse roles with varying requirements and responsibilities. The lack of detailed O*NET data on specific skills, knowledge, and work activities limits precision in characterizing typical job functions, though wage and employment data provide solid market intelligence.
inferred_at          : 2026-06-03T16:47:13.948073+00:00
tokens_input         : 2,247
tokens_output        : 3,506
cost_usd             : $0.037509
wikipedia_used       : False
wikipedia_title      : None
wikipedia_note       : No exact Wikipedia match exists for this broad occupational category, which serves as a catch-all for diverse legal support roles not classified elsewhere. The semantic neighbors primarily relate to legal aid and advocacy rather than the technical support functions this occupation encompasses.

--- PROSE FIELDS ---

ROLE SUMMARY:
Legal Support Workers, All Other encompasses specialized legal professionals who provide essential services not captured in other legal support categories, including legal research analysts, escrow officers, legislative aides, and case briefers. These workers bridge gaps in the legal system by performing technical, administrative, and analytical functions that support attorneys, courts, and legal proceedings. With employment concentrated heavily in government settings (55% of positions) and professional services firms, they earn a median of $72,110 annually according to BLS OEWS May 2025.

DAY IN THE LIFE:
A legal support worker might begin their day reviewing case files and conducting legal research using specialized databases to identify relevant statutes, regulations, and precedents. They prepare detailed case briefs and legal memoranda, summarizing complex legal issues for attorneys or court officials. Mid-day activities often involve coordinating with multiple parties on real estate closings as escrow officers, or drafting legislative summaries as aides in government offices. Administrative tasks include managing legal documents, ensuring compliance with filing deadlines, and maintaining detailed records of proceedings. The day frequently ends with client communication, whether explaining escrow procedures to homebuyers or providing updates on case progress to legal teams.

WHO THRIVES:
This role attracts detail-oriented individuals who excel in research and analytical thinking, as the work demands precision in legal document review and case preparation. Successful legal support workers possess strong written communication skills and can distill complex legal concepts into clear, actionable summaries for various audiences. They tend to be methodical problem-solvers who enjoy working within structured legal frameworks while maintaining flexibility to handle diverse case types and legal specialties. The variety of roles under this classification appeals to professionals who prefer intellectual challenge over routine tasks, and who can maintain accuracy under pressure while managing multiple deadlines and competing priorities.

CAREER ENTRY:
Most positions require a bachelor's degree, often in legal studies, paralegal studies, political science, or business administration, though some specialized roles may accept relevant associate degrees with experience. Many employers prefer candidates with formal paralegal certification or completion of American Bar Association-approved paralegal programs. Entry-level positions typically require 1-2 years of relevant experience, which can be gained through internships in law firms, government agencies, or court systems. Some roles, particularly those in government, may require passing civil service examinations or obtaining security clearances.

CAREER TRAJECTORY:
Legal support workers often advance to senior paralegal positions, legal office management roles, or specialized areas like litigation support or compliance. With additional education and certification, many transition to paralegal supervisor positions or legal administrator roles overseeing entire support departments. Some pursue law degrees to become attorneys, leveraging their practical legal experience for career advancement. Government employees may advance through civil service ranks to policy analysis or legislative liaison positions, while those in private practice might move into business development or client relations roles within legal firms.

MARKET INTELLIGENCE:
The field employs 46,760 workers nationally with a median salary of $72,110, ranging from $43,800 to $179,960 according to BLS OEWS May 2025. Geographic wage variation is substantial, with Virginia leading at $179,960 annually compared to Iowa's $44,470, representing a 4.05x ratio that reflects both cost-of-living differences and varying demand for specialized legal services. Government employment dominates the field at 55% of all positions (25,640 workers), followed by professional services at 26% (12,200 workers), indicating strong job security tied to public sector stability. The concentration in government suggests steady demand driven by regulatory compliance needs and public legal services, while growth in professional services reflects increasing legal complexity in business operations.

AUTOMATION OUTLOOK:
Legal support work faces moderate automation risk as AI tools increasingly handle routine legal research, document review, and basic case preparation tasks. However, roles requiring human judgment, client interaction, and complex legal analysis—such as escrow services, legislative aide work, and specialized case briefing—remain relatively protected due to their need for contextual understanding and relationship management. The diverse nature of this catch-all category means automation impact will vary significantly by specific job function and work setting.

--- REASONED EDGES ---
  [skill_overlap] Paralegals and Legal Assistants (23-2011) — confidence:high
    reasoning: Both roles involve legal research, document preparation, and case support functions within legal systems.
    data: legal research
    data: case briefing
    data: document management
  [task_similarity] Information and Record Clerks, All Other (43-4199) — confidence:medium
    reasoning: Shared responsibilities in records management, document processing, and administrative coordination.
    data: record keeping
    data: document coordination
    data: administrative support
  [wage_band] Business Operations Specialists, All Other (13-1199) — confidence:medium
    reasoning: Similar median wage ranges and requirement for specialized knowledge in professional service environments.
    data: $72,110 median salary
    data: professional services employment
  [skill_overlap] Library Technicians (25-4031) — confidence:medium
    reasoning: Both roles require advanced research skills, information organization, and database management capabilities.
    data: research analysis
    data: information management
    data: database utilization
  [task_similarity] Secretaries and Administrative Assistants, Except Legal, Medical, and Executive (43-6014) — confidence:medium
    reasoning: Overlapping administrative functions, document preparation, and office coordination responsibilities.
    data: administrative tasks
    data: document management
    data: office coordination

--- NORMALIZER SIGNALS ---
  match_keywords   : ['legal support', 'legal technician', 'case briefer', 'escrow officer', 'legislative aide', 'legal research analyst', 'law examiner', 'legal administrator']
  exclude_keywords : ['paralegal', 'attorney', 'lawyer', 'legal secretary', 'court reporter']
  title_patterns   : ['Legal * Worker', '* Legal Support', 'Legal Research *', '* Legal Technician', 'Legal Administrator']
  common_variations: ['legal support specialist', 'legal research worker', 'legal services coordinator', 'legal case analyst', 'legal documentation specialist', 'legal compliance assistant', 'legal office coordinator', 'legal systems analyst']

total_terms    : 40
top_words      : ['legal', 'sex', 'case', 'services', 'government', 'specialized', 'paralegal', 'aid', 'research', 'escrow', 'legislative', 'access', 'court', 'law', 'sexual', 'organizations', 'public', 'working', 'attorneys', 'firms']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
legal                      36  0.06963  inference            inference:86%  wikipedia:14%
sex                        11  0.02128  wikipedia            wikipedia:100%
case                        8  0.01547  inference            inference:100%
services                    7  0.01354  inference            inference:100%
government                  7  0.01354  inference            inference:100%
specialized                 6  0.01161  inference            inference:100%
paralegal                   5  0.00967  inference            inference:100%
aid                         4  0.00774  wikipedia            wikipedia:75%  inference:25%
research                    4  0.00774  inference            inference:100%
escrow                      4  0.00774  inference            inference:100%
legislative                 4  0.00774  inference            inference:100%
access                      3  0.00580  wikipedia            wikipedia:100%
court                       3  0.00580  inference            inference:67%  wikipedia:33%
law                         3  0.00580  inference            inference:67%  wikipedia:33%
sexual                      3  0.00580  wikipedia            wikipedia:100%
organizations               3  0.00580  wikipedia            wikipedia:100%
public                      3  0.00580  inference            inference:67%  wikipedia:33%
working                     3  0.00580  wikipedia            wikipedia:67%  inference:33%
attorneys                   3  0.00580  inference            inference:100%
firms                       3  0.00580  inference            inference:100%
relevant                    3  0.00580  inference            inference:100%
complex                     3  0.00580  inference            inference:100%
compliance                  3  0.00580  inference            inference:100%
client                      3  0.00580  inference            inference:100%
diverse                     3  0.00580  inference            inference:100%
business                    3  0.00580  inference            inference:100%
united                      2  0.00387  wikipedia            wikipedia:100%
states                      2  0.00387  wikipedia            wikipedia:100%
significantly               2  0.00387  wikipedia            wikipedia:50%  inference:50%
providing                   2  0.00387  wikipedia            wikipedia:50%  inference:50%
ensuring                    2  0.00387  wikipedia            wikipedia:50%  inference:50%
right                       2  0.00387  wikipedia            wikipedia:100%
development                 2  0.00387  wikipedia            wikipedia:50%  inference:50%
primarily                   2  0.00387  wikipedia            wikipedia:50%  inference:50%
person                      2  0.00387  wikipedia            wikipedia:100%
advocate                    2  0.00387  wikipedia            wikipedia:100%
advocacy                    2  0.00387  wikipedia            wikipedia:50%  inference:50%
labour                      2  0.00387  wikipedia            wikipedia:100%
encompasses                 2  0.00387  inference            inference:100%
professionals               2  0.00387  inference            inference:100%