Legora
Legal Engineer, Asset Management & Private Equity
$197K–$266K
New York City · On-site · Full-time · Posted Aug 11, 2026
- Experience
- 3+ years; qualifying experience may be in private funds or M&A/ECVC at a law firm, in-house at an asset management firm, or in a regulatory or compliance function.
- Education
- Law degree (JD or equivalent).
About the job
Help asset management, private equity, and law firm clients adopt and use Legora’s AI platform, while shaping product development and improving legal, compliance, and deal workflows.
What you'll do
- Own client relationships from pilots and onboarding through training and broader adoption; deliver product demos and guidance.
- Advise clients on AI opportunities, operational processes, and regulated-institution requirements; support transaction workflows such as diligence and document review.
- Share customer insights with product teams and develop scalable best practices and playbooks.
What they ask for
- Law degree (JD or equivalent).
- 3+ years of experience in private funds or M&A/ECVC practice at a law firm, in-house at an asset management firm, or in a regulatory or compliance function.
- Understanding of asset management and funds, including fund lifecycles, GP/LP dynamics, side letters, subscription documents, DDQs, and the regulatory landscape.
- Strong communication across legal, compliance, investment, and technical stakeholders; ability to evaluate and improve processes using technology.
Nice to have
- Exposure to multiple fund strategies, structures, deal types, or jurisdictions.
- Technology curiosity and product savvy, including interest in generative AI, implementation, innovation, and productivity.
Pay
$197K – $266K USD base salary
Tools
Legora, generative AI, Advisers Act, Marketing Rule, Form ADV, Form PF
AI focus
Advise asset management clients on AI’s ROI, competitive advantage, and effects on functions such as fund formation, side letter negotiation, regulatory compliance, and investor reporting; help clients use Legora’s AI platform and workflows.
Model-written summary · the original posting is authoritative