Legal AI Engineer

Overview

This role is for a Legal AI Engineer focused on helping law firms adopt generative AI. You will partner directly with customers to identify high-value legal workflows and demonstrate how legal AI solutions can address those needs. The work combines in-person discovery and demonstrations with hands-on experimentation, turning findings into reusable use cases, prompts, and playbooks that can scale across practice areas.

Responsibilities

• Lead in-person discovery sessions, solution demonstrations, workflow workshops, and executive briefings with law firm customers to identify priority legal workflows and show how legal AI capabilities can address them.
• Support customers throughout the lifecycle by scoping legal AI use cases, advising on workflow and solution design, and demonstrating legal AI capabilities.
• Partner with Customer Success stakeholders to develop legal AI adoption strategies, support successful solution deployment, and help move high-value use cases into sustained use across practice areas.
• Discover, test, and document best practices for applying legal AI across customer workflows, creating reusable use cases, prompts, playbooks, and workflow patterns that can scale.
• Use knowledge of the legal technology ecosystem to determine whether customer needs are best addressed through products, partner solutions, integrations, or custom development, and help coordinate the right approach.
• Support customer advocacy by communicating customer needs to Customer Success and cross-functional partners in Product, Engineering, and Marketing, highlighting opportunities to improve and innovate legal AI offerings.
• Contribute expertise to thought leadership efforts through events, advisory boards, or customer-facing content.
• Act as an informed advocate by understanding product strengths, improvement areas, and roadmaps, and explaining how specific solutions can help take customer advocacy efforts further.

Required Qualifications

• J.D. from an accredited US law school.
• Prior experience practicing law (e.g., law firm, in-house legal department, government, clerkship, or comparable legal practice setting).
• Proven experience in customer- or client-facing roles, ideally engaging with Enterprise or complex accounts.
• Familiarity with legal workflows and processes such as due diligence, eDiscovery, large document review, compliance, or related domains—gained through direct practice, adjacent roles, or working with legal professionals.
• Demonstrable experience with generative artificial intelligence applications.
• Substantial experience using online legal research and practice tools (e.g., Westlaw, Practical Law, HighQ, Relativity, Everlaw, etc.).
• Tech-savvy with strong aptitude for learning new AI tools and platforms; no formal technical or programming background is required.
• Experience with basic programming (Python) and/or exploratory coding for problem-solving is a plus but not required.

Preferred Qualifications

• Experience in customer-facing roles, ideally working with Enterprise accounts.
• Understanding of the architecture and operation of large language models (LLMs) and comfort working hands-on with AI tools, even without a formal technical or engineering background.
• Ability to approach challenges constructively and frame solutions positively and accurately.
• Knowledge of due diligence, eDiscovery, managing large document sets, data rooms, and related workflows where AI can accelerate results.
• Strong communication skills for translating technical concepts into clear, high-quality documentation and learning materials; ability to craft persuasive presentations for non-technical, often skeptical customers focused on needs and outcomes.
• Thrive working directly with motivated customers to solve complex problems, including through in-person, on-site engagements.
• Creativity, curiosity, and growth mindset; ability to simplify ambiguous challenges and turn them into opportunities.
• Stay up-to-date with emerging AI research and industry trends; think critically about risks, opportunities, and societal impact.
• Comfort with innovation and experimentation, viewing setbacks as opportunities to learn, iterate, and improve.

Compensation & Benefits

• For eligible US locations (unless otherwise noted), the base compensation range for this role is $74,200 USD - $137,800 USD.
• Base pay is positioned within the range based on factors including knowledge, skills, and experience, with consideration given to internal equity.
• This role may be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
• Benefits include comprehensive health, dental, vision, disability, and life insurance programs, and a competitive 401k plan with company match.
• Work-life benefits include flexible vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, and sabbatical leave.
• Additional benefits may include: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to an Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to an Employee Stock Purchase Plan.

Location

• Regular travel is required (approximately 25-30%, varying by quarter) to customer and firm sites to support client engagements, demonstrations, and team initiatives. Candidates must be willing and able to travel as a condition of employment.

Additional Information

• This job posting will close 12/31/2026.