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Will AI replace Paralegals and Legal Assistants?

Assist lawyers by investigating facts, preparing legal documents, or researching legal precedent. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 23-2011.00 · modeled exposure, not guaranteed job loss
MODERATE TASK EXPOSURE
52%
Estimated share of representative tasks exposed to current AI capabilities.
Last updatedAugust 20, 2026
Evidence confidenceMedium
Browse this risk tierModerate exposure jobs →
Task automation shareⓘ
52%Automatable
Automatable52%
Augmentable24%
Hard to automate24%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Finance & Legal
Back office / Ops
Modeled pay midpoint$
$70,700/yr
Directional estimate — verify locally
Time until impact⌁
2–4 years
Earliest 2027 · widespread 2029–2031
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Prepare affidavits or other documents, such as legal correspondence, and organize and maintain documents in paper or electronic filing system.62%
⚙Prepare, edit, or review legal documents, including legislation, briefs, pleadings, appeals, wills, contracts, and real estate closing statements.51%
▥Investigate facts and law of cases and search pertinent sources, such as public records and internet sources, to determine causes of action and to prepare cases.39%
✦Licensed accountability and complex judgment16%
✦Interpreting unusual, high-stakes cases12%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2027Next2029–2031
Early impactAI begins supporting prepare affidavits or other documents, such as legal correspondence, and organize and maintain documents in paper or electronic filing system..
Role reshapingRepeatable tasks become faster and more automated.
Wider adoptionThe role centers more on licensed accountability and complex judgment.
2–4 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Paralegals and Legal Assistants.
02>AI can help with: Prepare affidavits or other documents, such as legal correspondence, and organize and maintain documents in paper or electronic filing system.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Licensed accountability and complex judgment.
05>Likely result: AI is more likely to change this job than remove it.
06>Important: 52% is estimated task exposure—not a 52% chance of losing the job.
What AI can do
Prepare affidavits or other documents, such as legal correspondence, and organize and maintain documents in paper or electronic filing system.MEDIUM
Prepare, edit, or review legal documents, including legislation, briefs, pleadings, appeals, wills, contracts, and real estate closing statements.MEDIUM
Investigate facts and law of cases and search pertinent sources, such as public records and internet sources, to determine causes of action and to prepare cases.LOW MATCH
How estimates work →
Your human moat
◆

Licensed accountability and complex judgment

MEDIUM-HIGH

Combined with interpreting unusual, high-stakes cases, this keeps a human in the loop.

Strength7.9
Similar-role comparison
RoleRisk
Paralegals and Legal Assistants52%
Paralegal (Document Review)52%
Compliance Officer52%
Financial Auditor53%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The role mixes repeatable work with human judgment.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is licensed accountability and complex judgment.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025O*NET 23-2011.00Share report
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Sources for this report

Official occupation tasks; timeline remains uncertain Scores are directional estimates and sources do not endorse this site’s exact percentage.

O*NET 23-2011.00 occupation profile ↗ILO Generative AI and Jobs 2025 ↗Scoring methodology →

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