# Manager of Legal Engineering Remote from[USA](https://jobicy.com/job-region/usa.md)Salary, yearly, USD 190,000 - 210,000Department [Legal & Compliance](https://jobicy.com/categories/legal.md) Employment type Full Time, Job posted13 Jun 2026Apply before13 Jul 2026Experience level Midweight Views / Applies 1283 / 111 [About company](https://jobicy.com/company/netdocuments.md) * Share About [NetDocuments](https://jobicy.com/company/netdocuments.md) The legal industry's most trusted cloud-based content services and productivity platform. [Computer Software](https://jobicy.com/company-category/software.md) * 1999 Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. ### AI Summary NetDocuments seeks a Manager of Legal Engineering to lead the substantive legal quality of AI-driven legal intelligence products. This role involves structuring legal knowledge for different practice areas, building evaluation disciplines, and managing a small team of legal engineers within R&D. The position requires deep legal expertise combined with technical leadership to define what an AI agent needs to know about various legal matters. It's a hybrid role with a focus on building production-ready legal intelligence, not customer-facing sales engineering. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight This role combines deep legal expertise with technical leadership, requiring the ability to define and implement complex knowledge structures for AI agents, which is highly challenging. ### Salary Analysis Median Highly Competitive USD200,000US Market USD150k – 250k 0 USD275k AI Insight The offered salary range of $190,000 - $210,000 is competitive for a managerial role in legal technology, reflecting the specialized nature and high demand for such expertise. ### Core Skills Required [Legal Engineering](https://jobicy.com/jobs?search_keywords=Legal+Engineering.md) [Knowledge Management](https://jobicy.com/jobs?search_keywords=Knowledge+Management.md) [AI/ML](https://jobicy.com/jobs?search_keywords=AIML.md) [Legal Technology](https://jobicy.com/jobs?search_keywords=Legal+Technology.md) [Team Leadership](https://jobicy.com/jobs?search_keywords=Team+Leadership.md) [Software Development](https://jobicy.com/jobs?search_keywords=Software+Development.md) [Natural Language Processing](https://jobicy.com/jobs?search_keywords=Natural+Language+Processing.md) [Legal Research](https://jobicy.com/jobs?search_keywords=Legal+Research.md) [Data Modeling](https://jobicy.com/jobs?search_keywords=Data+Modeling.md) [Product Management](https://jobicy.com/jobs?search_keywords=Product+Management.md) ### Cover Letter Sample Dear Hiring Team, I am writing to express my strong interest in the Manager of Legal Engineering position at NetDocuments. With a background in both law and technology, I am uniquely positioned to lead the integration of legal expertise into AI-driven products. My experience includes structuring legal knowledge for complex litigation and transactional matters, as well as building and mentoring cross-functional teams. I am particularly excited about NetDocuments' focus on creating permission-aware legal intelligence that enhances the efficiency of legal professionals. I look forward to contributing to your R&D organization by defining schemas and evaluation frameworks that ensure AI agents understand the substance of legal work. Thank you for considering my application. I am eager to discuss how my skills can support NetDocuments' mission. Sincerely, [Your Name] Copy ### Sample Interview Questions How would you approach defining the schema for a litigation matter versus a transactional matter for an AI agent?For litigation, I would focus on claims, parties, key events, and procedural posture, ensuring the agent understands the timeline and legal arguments. For transactional, I would prioritize deal structure, parties, regulatory approvals, and key terms. The schema must be flexible enough to accommodate different practice areas while maintaining consistency.Describe a time you had to balance legal accuracy with engineering feasibility in a project.In a previous role, we built a contract analysis tool. Lawyers wanted every nuance captured, but engineers needed a manageable ontology. I led workshops to prioritize the most impactful data points, using a phased approach that delivered value quickly while planning for iteration.How do you ensure that the legal knowledge you encode remains up-to-date with changes in law and practice?I would establish a continuous feedback loop with legal practitioners, monitor legal updates, and design the knowledge system to be modular so that specific areas can be updated without overhauling the entire structure. Automated testing against new legal scenarios would also help.What metrics would you use to evaluate the quality of legal intelligence produced by an AI agent?Key metrics include accuracy of entity extraction, relevance of suggested actions, completeness of matter summaries, and user satisfaction scores. We would also measure how often the agent's output reduces time spent on document review or research.How would you build and lead a team of legal engineers who come from different backgrounds?I would foster a culture of mutual learning, pairing lawyers with engineers to cross-train. Clear communication of shared goals, regular knowledge-sharing sessions, and mentorship would help. I'd also ensure each team member has a clear development path that leverages their strengths. 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](mailto:hrgroup@netdocuments.co) so our team members can review. NetDocuments is the world’s #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. We strive to win together through passionate hard work, exploring new things and recognizing every interaction matters. NetDocuments provides rewarding career growth in an inclusive, diverse environment where employees are encouraged to openly contribute creative ideas and innovation, backed by supportive peers and leadership working together to achieve our goals as a unified team. At our core, we are dedicated to empowering our employees to drive successful business outcomes and better user experiences for our customers and partners. Our customer-centric approach and employee enablement has allowed us to enjoy many accolades, including being named among the 2022, 2023, & 2024 list of Inc. Magazine’s 5000 Fastest-Growing Private Companies in America. Other recent awards include: * Five-time winner (2025, 2024, 2023, 2022, 2021) Top Workplace in the US by the Salt Lake Tribune * Four-time winner (2025, 2023, 2022, 2021) Best Companies to Work for by Utah Business magazine * Three-time winner (2025, 2023, 2022) Top Workplace Employee Appreciation and Employee Well-Being * Three-time winner (2024, 2023, 2022) Top Workplace Work-Life Flexibility * Three-time winner (2024, 2023, 2022) Top Workplace Compensation & Benefits * Two-time winner (2024, 2023) National Top Workplaces * Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry NetDocuments is a hybrid, remote-friendly workplace. Come join our team and work inspired each day! What You’ll Do Legal work is becoming agentic, and the firms that win will be the ones whose AI actually understands the substance of their matters. NetDocuments sits on the context layer of the legal industry — the documents, matters, and relationships that constitute the working memory of a law firm. Our products increasingly turn that position into structured, permission-aware legal intelligence: maps of matters, semantic layers, and agentic capabilities that let AI start work already understanding what a matter is about, rather than re-reading five thousand documents to figure it out. NetDocuments is seeking a Manager of Legal Engineering to own the substantive legal quality of that intelligence — and to build the discipline of legal engineering inside our R&D organization. This is not a sales engineering or customer-facing solutions role. This is a build role at the center of R&D. You will be the lawyer in the room when we decide what an agent needs to know about a litigation matter versus an M&A deal versus a regulatory investigation — and you will encode that judgment into schemas, skills, and evaluation harnesses that ship in production. A pure technologist would model a matter one way; you know that a litigation matter lives and dies on its claims, parties, key events, and procedural posture, and you can express that knowledge in a form an agent can use. You’ll operate as a player-coach: a senior individual contributor who also builds and leads a small, special-forces team of legal engineers, working across every product team in R&D. You will: * Own how NetDocuments structures legal knowledge. Define what must be captured, structured, and surfaced for different matter types and practice areas across products like our Legal Context Graph, improving substantive outcomes for legal professionals, efficiency, and comprehensiveness across the full breadth of legal work. * Build the evaluation discipline for legal AI at NetDocuments. Design and run evaluation harnesses that define what “good” looks like for legal work product, briefs, analyses, extractions, and agent outputs, and prove with rigor that each iteration of our products is better than the last. * Develop our legal skill strategy. Author, test, and validate the skills (structured, executable domain knowledge) that let agents perform substantive legal tasks correctly, and build the testing scaffolding that validates they actually matter. * Define legal taxonomy and structure. Bring frameworks like practice-area ontologies, document typologies, and matter lifecycles into a coherent semantic layer that agents and products can rely on. * Hire and lead a small team of legal engineers while remaining deeply hands-on yourself. * Work across all of R&D. Partner with Product, Engineering, and Design teams across our AI, user experience, and platform groups, serving as the substantive legal authority for agentic product decisions. * Anticipate the questions a legal professional would ask of a matter, a document set, or an agent’s output, and ensure our products can answer them. What You’ll Need to be Successful * A law degree and real practice experience, including a minimum of 1–3 years as a practicing attorney (firm or corporate legal department), followed by a career that has stayed close to the legal industry through legal technology, knowledge management, innovation leadership, legal data, or similar disciplines. * Genuine fluency with modern AI development. You build with tools like Claude Code or Codex, are comfortable in a repository, and may be an active GitHub contributor. You don’t need to be a production engineer, but your team should ideally be fluent in building, starting with you. * A careful, methodical, rigorous mind. This role is about provability: structured thinking, careful taxonomy, and disciplined testing, not vibes. * Deep understanding of how legal work actually happens, what a litigation matter requires versus a transaction, how lawyers reason about documents, and what substantive quality means in legal work product. * Comfort operating as a super-IC leader in a high-autonomy environment. You receive context and strategic direction, then determine the execution approach independently. * Energy and conviction about where this is going. You see the agentic future of legal work clearly and want to build it, not study it. What Will Make You Stand Out * Experience building or evaluating legal AI products at a legal technology company, law firm, or corporate legal department. * Familiarity with legal taxonomies and standards such as FOLIO. * Published work, open-source contributions, or community involvement within the legal engineering, legal innovation, or legal AI ecosystem. * Experience designing evaluation frameworks, benchmark datasets, or quality measurement systems for domain-specific AI applications. * Experience hiring and leading small, high-leverage technical, legal, or hybrid teams. What You’ll Love About NetDocuments * The People! * 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 life activities & wellness * Access to LinkedIn Learning with monthly dedicated time to explore Compensation Transparency The compensation range for this position is: $190,000 – $210,000 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. 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. 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