A Pre-Research Article | Data Science, Data Pipelines & Genomic Informatics Abstract Paternity testing is one of the most legally and emotionally consequential applications of forensic science. In Kenya, demand for DNA paternity testing has grown sharply over the past decade, with laboratories such as the Bioinformatics Institute of Kenya now processing upwards of 125 cases every month, many feeding directly into court proceedings around child support, custody, and inheritance. Yet the infrastructure underpinning these tests remains largely manual, time-intensive, and constrained by limited laboratory capacity and a near-total absence of a national forensic DNA database . This article makes the case that machine learning (ML), combined with a well-engineered data pipeline, offers a credible and practical path toward faster, more scalable, and more consistent paternity determination.…