The rapid advancement of artificial intelligence has sparked intense debate within the legal industry: will AI ultimately replace court reporters? the answer is a nuanced blend of automation and human expertise. While automated speech recognition and generative AI models have drastically transformed transcription efficiency, the absolute necessity for certified, human-in-the-loop oversight remains unwavering.
This article breaks down what small businesses really pay when adopting AI — covering different cost levels like subscription- based AI tools, one-time integration costs, and full custom development. It outlines key cost factors (volume of data, complexity of features, licensing, maintenance), shows real-world examples from small/mid-sized companies, and offers a practical framework to estimate an AI budget that aligns with business size and growth goals. The goal: enable informed decisions on when and how to invest in AI without overspending or compromising on value.
