About Luminance

Developed by AI experts from the University of Cambridge, Luminance’s Legal-Grade™ AI redefines enterprise decision-making, turning contracts from administration burden into strategic intelligence. Luminance’s multi-agent platform automates entire workflows, from creation and negotiation to risk review and compliance. It understands clauses, evaluates legal and commercial impact, takes action, and learns from every negotiation, becoming increasingly attuned to your business. Trusted by over 1,000 of the world’s largest enterprises across 70+ countries, Luminance helps companies stay ahead of risk, seize opportunity, and outpace competition.

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Find us at the Hackathon

Challenge contact and first-round judge

William Booth-Clibborn, Principal Research Engineer
⭐ First-round judge
⭐ Challenge contact
⭐ Speaker: ‣

William Booth-Clibborn, Principal Research Engineer ⭐ First-round judge ⭐ Challenge contact ⭐ Speaker: ‣

Challenge

1. Background

In April, Sullivan & Cromwell, a top-tier law firm, submitted a court filing with misquoted statutes, citations to cases that don't exist, and references to decisions from the wrong jurisdiction. Senior partners reviewed it. AI tools were involved. It went out anyway. And unfortunately, it won’t be the last time.

When challenged, the firm's response followed a now-familiar script: reinforce verification policies, review internal training, remind lawyers that AI output needs to be verified.

But this framing misses the point.

This wasn't just a failure of AI. And it wasn't simply a failure of process. It was a failure of an assumption that human oversight is a reliable safety net.

Citation can speed up human review, but they aren’t a complete solution for lawyers to gain confidence in the answers provided by their AI systems.

2. Challenge

Build a product that enables lawyers have the confidence they need in AI. Tip: Look beyond the simple citation of sentences for human review.

3. Scenario

This product should be designed for law firms or enterprise legal teams operating in high-volume environments, where accuracy, speed, and institutional knowledge are crucial.

4. Data