AI Resilience Report forCourt Reporters and Simultaneous Captioners

Right now, AI is mostly augmenting court reporters and captioners rather than replacing them — but the pressure is real. Courts across the U.S. are leaning on automatic speech recognition (ASR) because there simply aren't enough human stenographers to go around. Courts have turned to digital recording as a supplement to traditional court reporting, with digital recording systems capturing multi-channel audio and video of proceedings that can be transcribed later.

The typical AI workflow now looks like this: digital devices capture audio, AI converts speech to text, the AI produces a rough draft that may contain errors, and a transcriptionist reviews and corrects the AI output to produce an accurate transcript. On the legal side, Attorney at Work describes ^[1] how AI-assisted platforms now deliver near-real-time draft transcripts, generative summaries, and even flag contradictions in testimony — turning the transcript from a passive record into a live strategy tool. But the human role remains crucial: JAVS notes ^[2] AI still stumbles on background noise, crosstalk, accents, and dialects, which are exactly the conditions in busy courtrooms.

Adoption is being driven hard by a workforce crisis, not hype. As of 2026, California had 1,101 court-employed reporters but needs an additional 458 full-time reporters to meet caseload demand, and from April–June 2025, 74 percent of unlimited civil, family, and probate hearings still occurred with no verbatim record. That kind of gap makes cheaper, faster AI transcription very attractive to courts and law firms.

But legal, ethical, and accuracy concerns are slowing things down. In March 2026, a bipartisan, bicameral bill was introduced in Congress ^[3] that would require the federal judiciary to create a 15-member task force to assess AI speech-to-text and speech recognition tools and make recommendations about their use within 18 months. The bill is backed by the National Court Reporters Association, and NCRA's Journal of Court Reporting ^[4] confirms the association's president is publicly pushing for guardrails on AI in courtrooms.

The good news for young people considering this career: tasks like asking speakers to clarify inaudible statements, certifying transcripts, and handling emotional or chaotic proceedings still require trained humans — especially for the 17,700 jobs the BLS still counts ^[5], where the shortage means certified reporters are in high demand. The smart path forward is learning the AI tools, not running from them.