Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Kirkland & Ellis LLP is seeking an AI Advisor to embed within practice groups, translating legal tasks into scalable AI workflows and collaborating with engineers and data scientists. You’ll drive end-to-end workflow development, support client engagements with AI-enhanced services, and champion responsible AI adoption with training and governance.
The ideal candidate blends trusted advisor capabilities with hands-on building, thriving on rapid experimentation while maintaining high standards
About Kirkland & Ellis At Kirkland & Ellis, we don’t just meet the standard for legal excellence — we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers’ commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
About Kirkland & Ellis At Kirkland & Ellis, we don’t just meet the standard for legal excellence — we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers’ commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
As an AI Advisor you will embed within practice groups to translate legal tasks and workflows into scoped AI solutions, owning end-to-end workflow development, partnering with engineers, and contributing to a scalable playbook of best practices. In addition to internal firm initiatives, this role may support client-facing matters, partnering with practice teams to deliver AI-enhanced legal services directly to clients. You will also champion responsible AI adoption, designing training that empowers attorneys to use these tools with confidence.
The ideal candidate is equal parts trusted advisor and hands‑on builder, someone who thrives on rapid experimentation and translates complex challenges into high‑impact solutions.
The AI Advisor sits within the Innovation Program AI Advisory Services team, partnering with directors, engineers, data scientists and project managers to deliver transformative outcomes for practice teams and clients. Reporting through matrixed management to the Associate Director of Innovation Engineering, this role bridges legal expertise and cutting‑edge AI capability.
The base salary range below represents the low and high end of the salary range for this position in each of the below locations. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Chicago: $153,000 - $191,000
New York: $153,000 - $211,000
Los Angeles: $153,000 - $211,000
Washington D.C.: $153,000 - $211,000
Bay Area: $153,000 - $220,000
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law.