Overview
This role sits at the intersection of legal practice, software development, and product management. The Legal Engineering team is responsible for evaluating and improving the performance of the organization’s systems and products on tasks that require legal knowledge for quality assurance.
Legal Engineering is an enablement function serving product teams, not external customers. Legal Engineers will not be customer-facing or “forward deployed,” and will partner with and advise product managers, engineering managers, and designers across the organization.
Responsibilities include designing and implementing legal quality assurance evaluations, building the platforms that support this work, and discovering, proving, and recommending methods to improve legal quality and increase the value customers get from their data.
Responsibilities
- Define what “correct” means for legal AI output
- Design, build, and implement trustworthy, repeatable evaluations and software tools to help product teams maximize legal quality
- Provide legal domain advice to product teams on an advisory basis, including:
- Reviewing specifications, prompts, taxonomies, and product copy for legal accuracy
- Answering whether designs align with how legal professionals think and work
- Identify and prove improvements to existing systems that increase legal quality performance, including:
- Improving prompts
- Improving agentic workflows
- Prototyping new features and new technologies
Requirements
- JD, LLB, or equivalent legal qualification, or a Bachelor’s Degree plus 3+ years working directly in legal practice, legal knowledge management, or legal operations
- Experience building executable software systems that work on legal data and improve legal workflows
- Experience working with structured data and formats such as JSON, XML, and Markdown
- Experience using agentic AI systems for legal and software development tasks
Preferred Qualifications
- Experience evaluating non-deterministic systems, including data curation and generation, grading, evaluation metrics, and techniques
- Experience building and improving agentic workflows for legal tasks
- Knowledge of Computational Law techniques outside of machine learning
- Familiarity with harness development and AI-assisted software development lifecycle practices
- Full-stack software development experience
Compensation & Benefits
- Compensation range: $155,000 - $165,000
- The posted cash compensation includes on target earnings, base salary, and variable (if applicable). Some roles may qualify for overtime pay. Individual packages are determined based on factors including career level, skills, experience, geographic location, qualifications, and other job-related considerations.
- Benefits:
- 90% healthcare premiums covered by the company
- HSA company contribution
- 401K match at 4% with immediate vesting
- Flexible PTO (typically 3 to 4 weeks a year)
- 10 paid holidays
- Monthly contributions for wellness
- Access to LinkedIn Learning with monthly dedicated time to explore
Location
Not specified in the provided job description.
Equal Opportunity
The employer is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Employment decisions are based on business needs, job requirements, and individual qualifications without regard to protected characteristics, including (as applicable) race, color, religion, sex (including pregnancy), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity and/or expression, military and veteran status, or any other status protected by laws or regulations in the locations where it operates.