When building AI for legal

When building AI for legal tech, "good enough" code isn't good enough. ⚖️🤖

Legal tech platforms demand an entirely different level of precision. If an AI tool misses a weak point or references a misaligned statute, it's not just a minor bug, it's a massive liability for the advocate using it.

I've been diving into building and testing complex, data-heavy systems like CaseLens Kenya which I built from scratch, a platform designed to help advocates identify evidentiary gaps and draft prosecution briefs.

Building and Testing a specialized platform like this requires more than just clicking buttons. It takes:

Rigorous Data Validation: Ensuring every AI claim traces back perfectly to its exact legal source file.

Deterministic Logic Testing: Guarding against AI hallucinations so the unstructured gap analysis remains accurate against Kenyan law.

High-Security Standards: Verifying that data encryption at rest holds up under strict privacy requirements.

If you are building complex AI products, legal tech, or data-heavy platforms and need someone who understands how to build resilient, low-entropy software and/ or test frameworks, let’s connect!