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Legal Engineer

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Remote from
USA
Salary
USD 155k–165k / yr
Employment
Full Time
Experience
Open level
Published
Apply before
28 Oct 2026
Listing views
23
Application actions
2
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AI Summary

The role, at a glance.

NetDocuments is hiring a Legal Engineer to improve the reliability and legal quality of its AI-enabled legal technology products. The role combines legal domain expertise with software development, structured data, agentic AI, and evaluation design for non-deterministic systems. The Legal Engineering team partners internally with product, engineering, and design teams rather than serving external customers. Key work includes defining legal correctness, building repeatable evaluation tools, advising on legal accuracy, and prototyping improvements to prompts and agentic workflows. Candidates need a legal qualification or relevant legal-practice experience alongside demonstrated technical experience building systems for legal data.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a highly specialized cross-functional role requiring credible legal judgment, hands-on software capability, and expertise evaluating probabilistic AI systems. Success depends on translating nuanced legal requirements into measurable, repeatable technical evaluations while influencing multiple product teams.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$160,000
US market range$145k–$190k
AI insightThe disclosed compensation range is $155,000 to $165,000 USD yearly, producing an offer midpoint of $160,000. For a US-based Legal Engineer with legal AI evaluation, software development, and product advisory responsibilities, an estimated US market range is $145,000 to $190,000 annually; actual market pay varies by legal credentials, AI engineering depth, and location.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you define and evaluate "correct" output from a legal AI system?

I would begin by defining the task, legal jurisdiction, permitted sources, user intent, and risk level. I would create a rubric covering substantive accuracy, completeness, citation support, uncertainty handling, confidentiality, and alignment with legal workflow, then test it using representative curated cases and both automated and expert review.

Describe how you would improve an agentic legal workflow that produces inconsistent results.

I would first isolate where variance enters the workflow by logging inputs, tool calls, intermediate reasoning artifacts where appropriate, retrieval results, and final outputs. I would then form testable hypotheses around prompt structure, retrieval quality, tool constraints, orchestration, and evaluation data, validate changes against a fixed benchmark suite, and monitor for regressions.

What experience do you have working with structured legal data?

I have worked with structured formats such as JSON, XML, and Markdown to represent documents, metadata, taxonomies, and evaluation cases. I focus on clear schemas, validation rules, provenance, and versioning so legal data can be reliably consumed by both software systems and reviewers.

How would you communicate a legal-risk concern to an engineering team?

I would explain the issue in concrete product terms: the user scenario, the potential incorrect behavior, the legal or workflow consequence, and the acceptance criteria for a safer outcome. I would avoid unsupported legal conclusions, distinguish high-confidence requirements from open questions, and propose practical implementation and testing options.

How do you balance legal quality with product delivery speed?

I use risk-based prioritization. High-impact or irreversible legal failures receive stronger controls and human review, while lower-risk experiences can be improved through lightweight automated checks, staged releases, and continuous measurement; this allows teams to ship while maintaining explicit quality guardrails.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the @netdocuments.com domain. If you have any concerns or questions about communications you have received, please send them to hrgroup@netdocuments.com so our team members can review.

About NetDocuments

At NetDocuments, we’re shaping the future of legal work. We believe legal professionals should spend less time searching for information and managing documents, and more time solving complex problems, serving clients, and delivering meaningful outcomes. That’s why we’re building technology that helps organizations work smarter, collaborate more effectively, and unlock the full value of their institutional knowledge.

Our team is redefining what’s possible for legal technology. NetDocuments is the trusted intelligent document management platform for legal professionals and the company behind the industry’s first and only legal context graph—a breakthrough that gives legal professionals and AI a richer understanding of how matters, documents, people, and knowledge connect across an organization while respecting enterprise-grade security, governance, permissions, and ethical walls.

Innovation is only part of our story. We believe our greatest strength is our people. We foster a collaborative, inclusive, and high-performing culture where curiosity is encouraged, diverse perspectives are valued, and employees are empowered to make a meaningful impact. Whether you’re building products, serving customers, or supporting the business, your work helps shape the future of one of the world’s most trusted legal technology platforms.

That commitment to our employees and customers has earned us recognition as one of the nation’s top workplaces, including:

  • Four consecutive appearances on the Inc. 5000 list of America’s Fastest-Growing Private Companies
  • Five-time Top Workplace USA winner
  • Five-time Salt Lake Tribune Top Workplace
  • Multiple Top Workplaces Culture Excellence awards recognizing innovation, employee appreciation, work-life flexibility, and compensation & benefits

If you’re excited to solve meaningful challenges, work alongside talented colleagues, and help define the next generation of legal technology, we’d love to meet you.

Your opportunity for impact:

NetDocuments is seeking a Legal Engineer. This exciting new role sits at the intersection of legal practice, software development and product management. The Legal Engineering team will have primary responsibility for evaluating and improving the performance of NetDocuments’ systems and products on tasks that require legal knowledge for quality assurance. Legal Engineering is an enablement team serving our product teams, not external customers. Legal Engineers will not be “forward deployed.” Legal Engineers will partner with and advise product managers, engineering managers, and designers across the company. Legal Engineers will have responsibility for designing and implementing legal quality assurance evaluations and implementing platforms to support that work. Legal Engineers will also be tasked with discovering, proving, and recommending methods to improve legal quality in NetDocuments’ systems and allow our customers to get more value from their data.

This role reports to the Manager of Legal Engineering. The ideal candidate is a person with experience in some combination of legal practice, software development including coding agents, non-deterministic system evaluation, data set generation and curation, and who is inspired by the opportunity to make agentic legal AI both more reliable and more trustworthy.

What your contributions will be:

Legal Quality and Evaluation: Define what correct means for legal AI output and then design, build, and implement trustworthy, repeatable evaluations and software tools that allow our product teams to maximize legal quality.

Legal Domain Advice: Contribute your legal experience to the work of our product teams on an advisory basis. This might include reviewing specifications, prompts, taxonomies, and product copy for legal accuracy, or giving product teams a fast, credible answer to whether designs match how legal professionals think and work.

System Improvements: Find and prove out changes to existing systems that improve legal quality performance. This is a wide-ranging can be improving prompts, improving agentic workflows, or prototyping new features and new technologies.

What you will bring to the team:

  • Excellent verbal, written, presentation, and interpersonal communication skills
  • The ability to speak law to technologists, and to speak technology to lawyers
  • Demonstrated ability to manage time and prioritize projects to meet deadlines
  • Strong attention to detail

Required Education and Experience

  • 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

Nice-to-Have Knowledge and Experience

  • Experience with the evaluation of 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

Benefits:

  • 90% healthcare premiums company covered
  • 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

Compensation Transparency

The compensation range for this position is:  $155,000 – $165,000

The posted cash compensation for this position includes on target earnings, base salary and variable if applicable. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations

#LI-HYBRID

#LI-REMOTE

Equal Opportunity

NetDocuments is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, individual qualifications, without regard to 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 we operate. NetDocuments believes diversity and inclusion among our employees is critical to our success, and we are committed to providing a work environment free of discrimination and harassment.

Apply now >

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