AI Strategy & Programs Associate
About Atticus The Atticus Project is a nonprofit that helps lawyers and legal teams use AI well. We build the open-source datasets that benchmark legal AI (CUAD, MAUD, and ACORD, published at NeurIPS, EMNLP, and ACL, with RAIC in progress), and we teach legal professionals to put AI to work through our Maven workshops, executive courses with Berkeley Law Executive Education and Stanford Law Executive Education, and hands-on enablement for legal teams. We are a small, practitioner-led team working where legal practice, AI research, and education meet.
The role You will help legal professionals actually put AI to work, and build the programs, content, and tools that make that happen. Working directly with our lead, you move across our three fronts: our Applied AI Enablement engagements (working with lawyers, GCs, and partners on their real legal tasks), our courses and curriculum, and our legal-AI research. The work is broad and you own real pieces of it. A builder's mindset matters: you use AI, write a script, or stand up a simple agent when that is what moves the work. Building serves that work, and your goal is to grow the programs.
You will start by supporting across the programs, and as you find your footing you will take ownership of pieces and make them better and bigger.
What you will work on
- Help run our Applied AI Enablement engagements: work alongside lawyers and legal teams to apply AI to their real work (contract review, legal research, drafting, client matters), and turn what works into reusable playbooks.
- Build the content that teaches legal professionals to use AI: workshop materials, executive-education content, and the post-workshop reinforcement series.
- Move our legal-AI research forward: dataset operations and annotation coordination for benchmarks like RAIC.
- Build the tools and automations that give a small team leverage, for example an agent that drafts content or a script that retires a manual task.
- Bring order to operations as a small team needs.
Who you are
- Early in your career and ready to grow fast. We care more about how you think and what you can build than about years on a resume.
- A builder's mindset. You are comfortable being technical: you can learn to write Python, work with an AI tool's API, and ship something small that works, and you reach for that when it helps.
- A strong, clear writer. Our materials go in front of practicing lawyers and executives, so the words have to be clean.
- Organized and self-directed. You can own a piece of work end to end, keep many threads straight, and move without being managed step by step.
- Genuinely interested in AI and in the legal profession, and excited to learn both deeply.
- Comfortable with ambiguity and a wide remit. At a small org, the role flexes.
Nice to have
- You have built and shipped something with code or with AI tools (a project, a script, an agent, a portfolio you can walk us through).
- Experience making content, curriculum, or teaching materials, or coaching and teaching experience.
- An analytical or STEM background, or comparable hands-on technical curiosity.
- Interest in legal tech, AI policy, or the responsible-AI space.
About the engagement
- Engagement: 1099 independent contractor. We define the role by the work and what you deliver, and we are flexible on hours and schedule.
- Location: fully remote, open to any US state. You must already be authorized to work in the United States; we are not able to sponsor visas. We hold a weekly team sync in Eastern Time.
- Start: rolling; onboarding through summer 2026.
How to apply Send your resume and a short note (3 to 5 sentences) about something you have built or a piece of work you have helped grow, and why this role fits you. A link to a project, some code, or work you can walk us through helps. We aim to respond to every application within two weeks.