Many talented lawyers do not contribute to AI Safety, simply because they've never had a chance to work with AIS researchers or don’t know what the field entails.
I am hopeful that this can improve if we create more structured opportunities for cooperation. And this is the main motivation behind the upcoming AI Safety Law-a-thon, organised by AI-Plans:
A hackathon where every team pairs one lawyer with one technical AI safety researcher. Each pair will tackle challenges drawn up from real legal bottlenecks and overlooked AI safety risks.
From my time in the tech industry, my suspicion is that if more senior counsel actually understood alignment risks, frontier AI deals would face far more scrutiny. Right now, most law firms would focus on more "obvious" contractual considerations, IP rights or privacy clauses when giving advice to their clients- not on whether model alignment drift could blow up the contract six months after signing.
We launched the event two days and we already have an impressive lineup of senior counsel from top firms and regulators.
So far, over 45 lawyers have signed up. I thought we would attract mostly law students... and I was completely wrong. Here is a bullet point list of the type of profiles you'll come accross if you join us:
This presents a rare opportunity for the AI Safety to influence high level decision-makers in the legal sphere.
We are still missing at least 40 technical AI Safety researchers and engineers to take part in the hackathon.
If you join, you'll help stress-test the legal scenarios and point out the alignment risks that are not salient to your counterpart (they’ll be obvious to you, but not to them).
At the Law-a-thon, your challenge is to help lawyers build a risk assessment for a counter-suit against one of the big labs.
You’ll show how harms like bias, goal misgeneralisation, rare-event failures, test-awareness, or RAG drift originate upstream in the foundation model rather than downstream integration. The task is to translate alignment insights into plain-language evidence lawyers can use in court: pinpointing risks that SaaS providers couldn’t reasonably detect and identifying the disclosures (red-team logs, bias audits, system cards) that lawyers should learn how to interrogate and require from labs.
Of course, you’ll also get the chance to put your own questions to experienced attorneys, and plenty of time to network with others!
📅 25–26 October 2025
🌍 Hybrid: online + in person (onsite venue in London, details TBC). 💰 Free for technical AI Safety participants. If you choose to come in person, you'll have the option to pay an amount (from 5 to 40 GBP) if you can contribute, but this is not mandatory.
If you’re up for it, sign up here: https://luma.com/8hv5n7t0
Feel free to DM me if you want to raise any queries!
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