Henrik Ott-Ebbesen - Legal tech experiments

A small collection of experimental, lawyer-built apps exploring automation, AI-assisted workflows and decision-making.

Litigation prep assistant

What it does: Allows the client to use a structured interface to capture a case facts, events, claims, and evidence — then generate demand letters, and draft summons. It accelerates the intake and case prep process for litigation lawyers and shifts more work to the client for potential cost savings, letting the lawyer focus on higher-value tasks.

Why I built it: To illustrate how AI has enabled us (lawyers) to build more powerful tools ourselves, without needing to be expert developers. Narrow use cases are often too complex for generic AI tools, and software vendors are less incentivized to build for small markets. By building our own tools, we can better serve our clients and explore new ways of working.

Judge-O-Matic 3000

What it does: Submit a small dispute to a panel-style AI workflow and see how different model “judges” vote.

Why I built it: To illustrate how AI is not a single instance entity but rather an infinite resource that's easily scalable. Further, it addresses the issue of error correction in AI decisions. Where one AI instance may not be considered 'reliable' enough to make actual decisions, multiple AI instances can be used to aggregate and improve accuracy, using different models and intentional bias.