
When Chief Justice Martha Koome recently revealed the Judiciaryβs plans to integrate artificial intelligence (AI) into court operations, the focus was on the new policy framework in the works. But in her own words during the same event, Koome shared a behind-the-scenes story thatβs just as telling: AI is already quietly at work in Kenyan courtrooms, and itβs been learning fast.
βLet me confess here, our transcription is majorly done by AI,β CJ Koome said with a smile. βAI, when we started, could give us 30% correct of transcription because AI doesnβt know us, doesnβt know our accent, and doesnβt know our intonations.β
In other words, when the Judiciary first tested AI for court transcriptions, it got more wrong than right at a 70% failure rate. And the culprit wasnβt laziness or poor tech. It was the uniquely Kenyan blend of accents, intonations, and courtroom phrasing that global AI models had never been trained on. But as anyone familiar with machine learning knows, AI improves with more exposure and better data. In this case, every transcript fed back into the system became part of its learning diet. The results? A huge leap from 30% to 80% transcription accuracy.
βAI is very clever by now,β Koome quipped. βItβs getting our transcription at 80% correct. I donβt know who is AI because we can even clap for AI.β
The improvement underscores why the Judiciary is now doubling down on AI, not for judgment writing, but for βorganizing our information and also in transcribing,β as the CJ clarified. Beyond that, the technology will be explored for case management, legal research, predictive analytics, and administrative support; all under a strict policy framework to protect judicial independence, data privacy, and due process.
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While Koome didnβt say how long it took AI to improve its transcription accuracy, AIβs rapid learning curve suggests it wasnβt years. And in a justice system where speed and accuracy are critical, such a gain is more than just a tech upgrade. Itβs a practical case study in how AI, once adapted to local realities, can actually work for Kenyan courts.






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