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Will AI take my paralegal job?

Law · SOC 23-2011
51
/ 100
Career Diagnostic Score · law

Paralegal

Mixed Exposure
In 1 year
47
↓ 4 pts
In 3 years
42
↓ 9 pts
In 5 years
37
↓ 14 pts

Tasks at risk

  • Document review and discovery indexing
  • Drafting boilerplate filings and form pleadings
  • Citation checking and Bluebooking

Skills to build that AI can't replace

  • Court e-filing and procedural compliance under deadlines
  • Client intake and case organization
  • Trial preparation logistics

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What this score means for Paralegal.

The Paralegal role sits in the mixed-exposure band. Multiple high-value tasks are reachable by current models; others remain firmly human. Senior practitioners who learn to direct AI tools will get more leverage. Mid-career professionals should plan a deliberate upskilling cycle in the next 12 months. Over the next 5 years the score is projected to drift down by 14 points based on the law vertical's drift rate. We update the score every 3 months as new data comes in.

The four signals.

Can AI do it directly?
25%
Share of tasks AI can already do on its own.
Could AI tools do it soon?
69%
Share of tasks AI tools could plausibly handle soon.
Are people using AI for this now?
52/100
How much real workers are using AI for this work today.
Replacing or helping?
50%
Of that usage, how much is AI replacing vs. helping the worker.

All four are blended into your single 0–100 score. See the exact formula →

What to do this quarter.

The single highest-leverage move for someone in this role this quarter:

Harvey, Hebbia, or comparable legal-LLM platforms for research and discovery.

The free 12-week email plan above expands this into a sequenced plan. The $29 Pivot Interview goes much further: ranked tools, credential-value shifts, pivot scenarios, and quarter-by-quarter targets for the next 12 months.

Other roles in Law.

Lawyer 53Title Examiner / Abstractor 39

Sources for this score.

  • Anthropic Economic Index — Anthropic's real usage data (March 2026 release), used for the "real usage" and "replacing vs. helping" signals. huggingface.co/datasets/Anthropic/EconomicIndex
  • Eloundou et al. (2023) — the Stanford / OpenAI study used for the "can AI do it" and "could AI tools do it soon" signals. arXiv:2303.10130
  • U.S. Department of Labor (O*NET 28.0) — the official task-and-skill list for every job in America. onetcenter.org/database
  • U.S. Bureau of Labor Statistics — the official jobs classification (SOC code). bls.gov/oes