The hard part is building the infrastructure around the work well enough that it survives contact with the real world.
I learned that early. As a law student at Kenyatta University School of Law, I started Kenyan Legal, a student-authored law magazine, almost no budget, distributed across 19 Kenyan law universities. Then Africa Law Times: a pan-African legal journal with contributors from Uganda, Nigeria, and across East Africa, covering the questions that actually mattered. Africa's relationship with the ICC, the fragility of new democracies, the gap between constitutional promise and legal reality on the ground. A proper editorial board. A serious publication.
What those years gave me was not legal training. It was a precise understanding of how Kenyan advocates find and use legal information: slowly, imprecisely, and with tools that were never built for this market.
When AI research tools began producing fabricated citations that reached court filings, and advocates began facing professional consequences for it, I recognised the problem immediately. Not because I read about it. Because I had spent years watching exactly how that gap between a research tool and a submission-ready output gets bridged in practice: usually by a junior, under time pressure, with no verification layer between the output and the filing.
Jurislexr is a product of Kontorva Limited, a Finnish-Kenyan company that puts that infrastructure to work: citation-verified research, structured judge intelligence, a tamper-evident verification stamp, and Kenya-region data residency, built for work product that carries professional consequences.
This is not a tool for moving faster and worrying about accuracy later. It is for practitioners who understand that what leaves their office carries their name.
