About Legora

Legora is the collaborative AI platform built for exceptional lawyers. Founded in 2023, Legora is now used by tens of thousands of legal professionals at more than 1,000 law firms and in-house legal teams across over 50 markets, including global firms such as Cleary Gottlieb, White & Case, Linklaters, Goodwin, and Bird & Bird. The platform brings legal expertise and machine intelligence together in a single workspace where lawyers review, research, draft, and deliver work together. Having recently surpassed $100M in annual recurring revenue and reached a $5.6bn valuation, Legora is among the fastest-growing enterprise software companies in history, backed by investors including Accel, Benchmark, ICONIQ, General Catalyst, Y Combinator, and NVIDIA's venture arm. With offices across Europe and the US including Stockholm, London, New York, and Denver, Legora's mission is to give every lawyer the tools to focus on what matters most: judgment, strategy, and advising clients.

Open positions for you to consider

Legora is growing extremely fast, having scaled from around 40 to 400+ employees in the past year, and is hiring across engineering, legal engineering, product, and go-to-market roles in Europe and the US, including a growing "legal engineer" track for people at the intersection of law and technology. Come talk to the Legora team at the hackathon, or see legora.com/careers.

Find us at the Hackathon

Amy Conroy, Senior Engagement Manager
⭐ First-round judge

Amy Conroy, Senior Engagement Manager ⭐ First-round judge

Ishmeet Kaur, Senior Legal Engineer
⭐ Challenge contact

Ishmeet Kaur, Senior Legal Engineer ⭐ Challenge contact

Challenge

1. Background

Every lawyer remembers the first time they had to hold their ground. The negotiation where the other side called their bluff. The client who pushed back hard on advice. The moment a senior partner tore into a weak argument until it either broke or held. You don't learn to do those things by reading about them - you learn by doing them, badly, over and over, until the judgment becomes instinct.

That practice used to happen on the job: junior lawyers got their reps by sitting second chair, taking the small negotiations, absorbing blows in low-stakes settings before the high-stakes ones arrived. As that on-the-job apprenticeship thins out, a generation of lawyers is heading toward high-pressure moments with far fewer reps under their belt. They know the law. What they haven't had is practice under fire.

What if they could get unlimited reps - against an opponent that never gets tired, never goes easy, and tells them exactly how they did?

2. Challenge

Build an app that lets a lawyer practise real legal work by going up against an AI and get measurably better each time. This is a training ground, not an assistant. The user steps into a scenario and has to perform under pressure against an AI playing the other side: opposing counsel in a negotiation, a hostile client, a partner stress-testing their reasoning. The AI pushes back realistically - it argues, it probes weaknesses, it doesn't fold just because the user sounds confident. When the round ends, the AI becomes the coach: where did the user concede too early, miss a point, overplay a weak hand? What would a great lawyer have done differently? Then the user goes again, and tries to beat their last performance. The point isn't to supervise an AI or check its work. The point is to sharpen the user's own judgment by making them use it, repeatedly, against genuine resistance.

3. Scenario

You're building for a junior lawyer who wants to get good at the parts of the job you can't learn from a textbook - negotiating, defending an argument, thinking on their feet. Pick one arena and build it well:

4. Data