Legal Value Engineer

Legal Ai Value Engineer

NetDocuments is seeking a Legal AI Value Engineer to be a key driver of client success in adopting and expanding AI-powered legal technology. This individual contributor role is ideal for a legal tech or legal operations professional who thrives at the intersection of law, AI, and client engagement. You'll serve as a trusted advisor, technical expert, and strategic partner to our clients—translating complex legal problems into scalable, AI-enabled solutions.

This is a highly visible, client-facing role that requires strong communication skills, deep curiosity, and the ability to engage with both legal professionals and technical stakeholders. You will also serve as a conduit between customers and internal teams, influencing our product roadmap with real-world insights.

What your contributions will be:

• Client Partnership & Enablement
• Build strong, consultative relationships with legal ops leaders, attorneys, technologists, and innovation teams.
• Lead discovery sessions and workshops to uncover business and legal needs, and match them with AI capabilities.
• Deliver high-impact product demos and hands-on sessions tailored to legal workflows—showcasing advanced AI functionality with confidence and clarity.
• Drive adoption and enablement through onboarding, customized training, and ongoing advisory conversations.
• Serve as a technical translator between client goals and AI-powered legal solutions.

• AI and Product Expertise
• Maintain a strong, evolving understanding of AI concepts—including natural language processing (NLP), large language models (LLMs), and generative AI—and their application in legal use cases (e.g., contract analysis, summarization, clause extraction, redlining).
• Partner with Product and Engineering teams to provide actionable feedback, validate features in beta, and ensure client needs are reflected in the roadmap.
• Be comfortable explaining the "how" behind the technology to legal professionals, without relying on jargon, and helping technical stakeholders understand legal nuance.

• Value Realization
• Co-develop business cases, ROI models, and proof points that show how AI adoption improves speed, accuracy, and efficiency across legal workflows.
• Help clients define, measure, and report on success metrics tied to platform usage and outcomes.

• Lifecycle & Expansion Support
• Collaborate with Customer Success, Account Management, and Sales to ensure continuity across the client journey—from pilot through expansion.
• Identify new use cases and help scale platform engagement within legal departments or firms.
• Serve as a key advisor on operationalizing AI within client legal ecosystems.

• Best Practices & Thought Leadership
• Develop and share internal and external best practices, training content, and solution guides to support repeatable success.
• Stay ahead of trends in legal AI, legal operations, compliance tech, and adjacent innovation spaces.
• Contribute to webinars, blogs, or client roundtables as a subject matter expert in legal AI enablement and strategy.
• Other duties as assigned

Required Education and Experience:

• 3+ Legal experience (law firm, in-house counsel, or legal operations) with a strong grasp of legal workflows and challenges.
• Demonstrated ability to work in a consultative, customer-facing role—such as solution engineering, value consulting, or implementation advisory.
• High technical aptitude and natural curiosity—comfortable learning, using, and explaining advanced software and AI systems.
• Understanding of core AI and machine learning concepts (e.g., NLP, LLMs, classification, semantic search)—with the ability to confidently discuss how AI works, even with technical stakeholders.
• Strong communication skills across audiences—able to distill complexity, guide conversations, and gain stakeholder buy-in.
• Organized, self-directed, and able to manage multiple accounts, timelines, and enablement programs simultaneously.
• Business acumen to support ROI conversations, value modeling, and solution justification.

Ideally you will have:

• Exposure to SaaS products in legal, compliance, or regulated industries.
• Prior experience in legal innovation, knowledge management, or product design within law firms or corporate legal departments.
• Technical certifications, AI coursework, or prior work with platforms using NLP/ML technologies.
• Experience supporting enterprise AI rollouts or contributing to legal transformation initiatives.

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 annual compensation range for this position is $140,000 - $150,000. 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.