Changing fast

Last Update: 3/13/2026

Your role’s AI Resilience Score is

28.1%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.

AI Resilience Report for

Court Reporters and Simultaneous Captioners

They type out everything said in court or at events, creating official records or captions for people who are deaf or hard of hearing.

This role is changing fast

The career of Court Reporters and Simultaneous Captioners is changing fast because AI tools are starting to handle tasks like drafting transcripts and captions quickly and cheaply. However, AI still struggles with difficult legal terms and unclear speech, so human expertise is essential to ensure accuracy and make corrections.

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This role is changing fast

The career of Court Reporters and Simultaneous Captioners is changing fast because AI tools are starting to handle tasks like drafting transcripts and captions quickly and cheaply. However, AI still struggles with difficult legal terms and unclear speech, so human expertise is essential to ensure accuracy and make corrections.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Evolving iconEvolving

68.8%

68.8%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

32.2%

32.2%

Anthropic's Observed Exposure

AI Resilience

Learn about this score
Changing fast iconChanging fast

12.3%

12.3%

Will Robots Take My Job

Automation Resilience

Learn about this score
Changing fast iconChanging fast

6.5%

6.5%

Althoff & Reichardt

Economic Growth

Learn about this score
Changing fast iconChanging fast

21.0%

21.0%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

-0.3%

Growth Percentile:

24.6%

Annual Openings:

1,700

Annual Openings Pct:

18.9%

Analysis of Current AI Resilience

Court Reporter & Captnr

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Today’s court reporters already use computers and special stenography machines to help. Some modern tools even use speech-recognition AI to draft transcripts. For example, researchers are testing automatic transcription tuned for legal speech and finding that AI is improving [1] [2].

But studies show AI still makes more mistakes with legal terms or muffled speech. One analysis found top AI captions were about 95–96% accurate, while human captioners hit ~99% accuracy [3]. Because accuracy is crucial, real court transcripts usually still need a human expert to finalize them [4].

Humans can stop the action to ask a speaker to repeat or clarify – something AI can’t do right now [4]. In practice, many reporters use AI as a helper (for example, generating an initial draft or caption) but then review and edit the text themselves. In short, automation and AI are making parts of the job easier and faster, but people remain in charge of ensuring the record is 100% correct.

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AI Adoption

AI in the real world

Courts and captioning services consider AI tools carefully. AI could speed up work and save money – automated captioning is cheaper and faster than typing every word by hand [3]. Also, many areas lack enough reporters (in California, millions of hearings went unrecorded due to shortages [4]), so technology becomes tempting.

However, legal rules and trust issues slow things down. In most states, an official transcript still must be certified by a licensed reporter, not just a computer printout [4]. Laws and disability-access rules also demand very high accuracy for captions [3].

And some experts caution that people don’t fully trust AI, especially for important records [3] [4]. In practice, this means courts may use AI first in lower-stakes tasks (like a first draft of a transcript or automatic captions for practice), while human reporters handle the final checks. Overall, the job will change – reporters will likely work alongside AI – but human skills like careful listening, judgment, and quick corrections remain essential [4] [3].

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More Career Info

Career: Court Reporters and Simultaneous Captioners

Employment & Wage Data

Median Wage

$67,310

Jobs (2024)

17,700

Growth (2024-34)

-0.3%

Annual Openings

1,700

Education

Postsecondary nondegree award

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

70% ResilienceCore Task

File a legible transcript of records of a court case with the court clerk's office.

2

60% ResilienceCore Task

Ask speakers to clarify inaudible statements.

3

50% ResilienceCore Task

Verify accuracy of transcripts by checking copies against original records of proceedings and accuracy of rulings by checking with judges.

4

35% ResilienceCore Task

Respond to requests during court sessions to read portions of the proceedings already recorded.

5

30% ResilienceCore Task

Take notes in shorthand or use a stenotype or shorthand machine that prints letters on a paper tape.

6

25% ResilienceCore Task

File and store shorthand notes of court session.

7

20% ResilienceCore Task

Record depositions and other proceedings for attorneys.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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