Courts have been clear: artificial intelligence may assist lawyers, but it does not absolve them. When ASR systems miss testimony or AI summaries omit critical facts, responsibility does not vanish into the software. It lands squarely on the professionals who relied on it. As automation reshapes the legal record, a new reckoning over accountability is quietly approaching.
Tag Archives: ProfessionalResponsibility
Court Reporters, Technology, and Reality – Resetting Expectations in a Small Industry
Court reporting technology vendors are not Big Tech. They are small, specialized companies serving a shrinking professional market. Expecting instant, round-the-clock concierge support misunderstands the realities of the industry. Professional competence requires patience, self-sufficiency, and deep knowledge of one’s tools. When a reporter’s livelihood depends entirely on immediate vendor intervention, the risk is not poor service—it is misplaced dependency.
When the Machine Gets It Wrong, the Court Still Blames the Human
Courts across the country are delivering a blunt verdict on artificial intelligence: speed does not excuse accuracy. As lawyers face sanctions for AI-generated errors, judges are reaffirming an old rule in a new era—accountability remains human. In an age of automation, the certified court record and the professionals who create it have never mattered more.
Who Trained the Machine?
AutoScript AI is marketed as a “legal-grade” AI transcription solution trained on “millions of hours of verified proceedings,” yet the company provides no public definition of what verification means in a legal context or where that data originated. Founded and led by technology executive Rene Arvin, the platform reflects a broader trend of general ASR tools being rebranded for legal use without the transparency traditionally required in court reporting.
STENOIMPERIUM 