Court reporters and simultaneous captioners

What AI will never replace

When three people talk over each other during a heated deposition, or a witness mumbles through tears, a human reporter interrupts to ask for clarification—ensuring the legal record is accurate in ways passive transcription cannot. Certifying an official legal transcript carries personal liability; a human must swear to its accuracy and defend it if challenged, which is a legal accountability AI cannot hold. Real-time stenographic captioning in courtrooms with poor acoustics, heavy accents, and specialized legal terminology still requires a trained human making judgment calls about what was actually said.

AI exposure: 9/10

The core product of this occupation is a verbatim digital transcript, a task where AI speech-to-text and natural language processing are already highly proficient. While legal requirements for human oversight and the need to clarify inaudible speech provide a temporary buffer, the rapid advancement of AI in transcription and real-time captioning creates extreme pressure for automation and massive productivity gains that reduce the need for human workers.

AI advantage: 9/10

AI-powered speech-to-text and Large Language Models can automate the core task of verbatim transcription and initial editing, which previously required years of specialized stenography training. Adopters can shift from manual typing to 'scoping' or AI-assisted editing, dramatically increasing their output speed and allowing them to handle more proceedings with higher accuracy and less physical strain.

Job growth outlook: 1/10

AI-driven speech-to-text technology and Large Language Models (LLMs) are rapidly reaching human-level accuracy, directly automating the core task of verbatim transcription. While legal and regulatory requirements for human oversight provide a temporary buffer, the increasing efficiency of digital recording and automated captioning will likely lead to a net reduction in the number of human reporters needed per proceeding.

Career details

• Typical education: Postsecondary nondegree award
• Median annual pay: $67,310
• 10-year outlook: Little or no change