About the role
About Mage Legal
Mage Legal is an AI-native legal technology company built for M&A, PE, and corporate legal teams. Our platform automates core diligence workflows—issue spotting, disclosure schedules, and first-pass diligence outputs—used in live, high-stakes transactions. We’re scaling adoption inside law firms and funds, testing distribution channels, refining our positioning, and building the legal AI experience attorneys actually trust under deal pressure.
Who We’re Building For (ICP)
Deal attorneys, PE professionals, and in-house legal teams working on fast-moving M&A and growth transactions. Typically Big Law, elite performers, highly analytical, and extremely risk-sensitive. They care about accuracy, auditability, and credibility more than novelty. They’re skeptical of “AI for law,” pressed for time, and allergic to tools that create cleanup work. Your work will shape how this audience discovers Mage Legal, evaluates it, and ultimately trusts it enough to use on real deals.
What You’ll Do
At Mage Legal, every team member can propose an experiment. You’ll help shape hypotheses, contribute your own ideas, and turn them into live tests across acquisition, activation, and workflow adoption—always grounded in real attorney behavior.
Hypothesis → Launch → Measure → Iterate.
- Design and run growth experiments across channels relevant to legal buyers (founder-led sales, referrals, content, partnerships, targeted outbound, events, and communities).
- Test and refine positioning, messaging, and offers that resonate with law firms, PE funds, and in-house teams (e.g., pilot structure, deal-based pricing, PoCs, workflow entry points).
- Collaborate with engineering to spin up lightweight demos, onboarding flows, and workflow experiments for rapid testing inside real diligence scenarios.
