Paralegals and legal assistants

AI Overlap Index
56.8 / 100
Mostly Exposed

Most of the workflow is automatable. Human judgment remains for exceptions, clients, or ambiguity.

SOC 23-2011 · Legal

Bureau of Labor Statistics
Median pay
$61,010/yr
Hourly
$29/hr
Jobs 2024
376,200
Projected 2034
376,800
10-yr outlook
0% · Little or no change
Employment change
600
Entry education
Associate's degree
SOC code
23-2011

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
53.4
contribution to AOI: 32.0
Automation Potential weight 10%
90.0
contribution to AOI: 9.0
Market Pressure weight 15%
60.0
contribution to AOI: 9.0
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
72.7
mult 1.28x
Mid
56.8
mult 1.00x
Senior
40.9
mult 0.72x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

9 tasks · model: claude-sonnet-4-5-20250929
Important t4

Gather, organize, and maintain legal documents

Document organization, indexing, tagging, and retrieval are core AI strengths. Modern legal tech platforms use AI to automatically categorize documents, extract key data, maintain privilege logs, and ensure version control with minimal human intervention beyond initial setup and spot-checking.

BLS evidence: The duties section explicitly states paralegals 'Gather, organize, and maintain legal documents' and the page emphasizes organizational skills.

82
automation
Supporting t9

Schedule interviews, meetings, and depositions with clients and witnesses

AI scheduling assistants can now handle calendar coordination, send meeting invitations, find mutually available times across multiple parties, send reminders, and reschedule when conflicts arise. This is largely automatable with current tools, though complex multi-party depositions may need human judgment.

BLS evidence: The duties section includes 'Call clients, witnesses, lawyers, and others to schedule interviews, meetings, and depositions.'

78
automation
Core t2

Draft legal documents and correspondence such as contracts and confirmation letters

LLMs excel at drafting contracts, letters, and standard legal documents from templates and instructions. Current AI can handle routine correspondence and first-draft contracts with fact patterns provided, though complex negotiations or novel legal structures still require substantial attorney revision.

BLS evidence: The duties section lists 'Draft correspondence and legal documents, such as confirmation letters and contracts' as a primary task.

75
automation
Core t1

Research laws, regulations, and legal articles relevant to cases

AI legal research tools can now search case law, statutes, and regulations with high accuracy, synthesize relevant precedents, and identify applicable rules. Human review is still needed for strategic judgment about which authorities matter most for a specific case theory, but the research labor itself is largely automatable.

BLS evidence: The duties section states paralegals 'Research laws, regulations, and legal articles that are relevant to a case' and the page emphasizes research skills as essential for helping attorneys prepare.

72
automation
Important t7

File legal documents with courts, government agencies, and opposing counsel

Electronic filing systems increasingly accept automated submissions, and AI can prepare documents in proper format, track deadlines, and handle routine filings. However, court-specific rules, occasional need for physical filing, and error consequences still require human oversight for most filings.

BLS evidence: The duties section lists 'File exhibits, briefs, appeals, and other legal documents with the appropriate court, government agency, or opposing counsel.'

68
automation
Core t3

Investigate and gather facts of a case

Fact investigation requires interviewing witnesses, visiting sites, coordinating with third parties, and exercising judgment about credibility and relevance in unstructured situations. AI can help organize findings and suggest lines of inquiry, but the interpersonal and physical investigative work remains human-dependent.

BLS evidence: The duties section begins with 'Investigate and gather the facts of a case' as a fundamental paralegal responsibility.

38
automation
Important t5

Obtain affidavits and other formal statements for use as evidence

Obtaining affidavits requires in-person or video meetings with affiants, explaining legal significance, ensuring comprehension, witnessing signatures, and often notarization. While AI could draft the affidavit text, the interpersonal coordination and formal witnessing process is inherently human.

BLS evidence: The duties section specifies paralegals 'Obtain affidavits and other formal statements that may be used as evidence in court.'

22
automation
Important t6

Help lawyers during trials by handling exhibits and taking notes

Trial support requires physical presence in the courtroom, real-time responsiveness to attorney needs, handling physical exhibits, operating equipment on the fly, and reading the room. The unpredictable, physical, and high-stakes nature of live trial work makes this essentially unautomatable.

BLS evidence: The duties section states paralegals 'Help lawyers during trials with tasks such as handling exhibits, taking notes, or reviewing trial transcripts.'

15
automation
Supporting t8

Coordinate trial logistics including transporting exhibits and setting up equipment

Transporting physical exhibits, setting up courtroom technology, arranging furniture, and handling logistics in unpredictable physical environments requires manual labor and real-time problem-solving that robotics cannot yet handle in varied legal settings.

BLS evidence: The page states that in litigation, paralegals 'coordinate trial logistics, including by transporting exhibits to the courtroom and setting up equipment.'

8
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
90
karpathy 9/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
60
outlook: Little or no change
  • BLS projected outlook: Little or no change (0%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

Related in Legal

closest AOI neighbors in the same category