About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff payroll, health insurance, 401(k)s, and HR so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about ourTotal Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
About the Role
As a key member of Enterprise Applications IT (EAIT), the Legal Tech IT Product Manager owns the AI-first strategy, roadmap, and delivery of the enterprise applications supporting Gustos Legal & Compliance organization. This is an AI-forward product role: you will reimagine how legal and compliance work gets done by embedding generative AI, AI agents, and intelligent automation into systems like contract lifecycle management (CLM), matter and legal-spend management, e-signature, entity and corporate records management, legal hold and e-discovery, and governance, risk, and compliance (GRC) platforms.
Acting as the primary interface between Legal & Compliance teams and EAIT delivery resources, you will translate business needs into well-defined, AI-enabled product requirements, guide solution design, and drive continuous improvement across core legal and compliance processes. In line with Gustos enterprise systems strategy, you will help shift legal operations from reactive, manual workflows to predictive, context-aware, and self-improving platformsdesigning agentic workflows and Model Context Protocols (MCPs) that connect legal systems to large language modelswhile ensuring privilege protection, security, compliance, and measurable impact. This role blends product leadership and deep systems knowledge with strong AI literacy and a bias toward applying AI to every part of the legal technology stack.
About the Team
The Enterprise Applications IT (EAIT) team drives the intelligent transformation of Gustos enterprise systems, integrating AI, automation, and advanced analytics across our internal applications ecosystem to improve scalability, efficiency, and decision-making. EAIT builds MCPs, AI agents, and intelligent workflows that connect systems and make enterprise processes smarter, faster, and more predictive, while providing reliable, secure, and scalable application platforms for critical business processes.
Within EAIT, this role provides dedicated, AI-forward product ownership for the Legal & Compliance technology domain, complementing existing product and platform owners to establish a mature, well-governed, and increasingly autonomous enterprise applications operating model. This is a new role, designed to expand the teams capacity to operationalize AI within legal and compliance workflows and modernize the systems behind that work.
What Youll Do Day-to-Day
AI-First Product Ownership & Roadmap (Legal & Compliance Technology)
- Own the product vision, AI roadmap, and backlog for the legal and compliance technology portfolio within EAIT, with AI and automation as the default lens for every initiative.
- Set a multi-year vision for an AI-augmented legal function, identifying where generative AI, AI agents, and automation can eliminate manual effort, accelerate cycle times, and improve quality and risk outcomes.
- Align roadmap priorities with Legal & Compliance leadership, EAITs AI transformation strategy, and enterprise architecture standards.
- Define success metrics and outcomesincluding AI adoption, automation rate, accuracy, cycle-time reduction, and cost-to-serveto measure business value and system effectiveness.
AI, Automation & Agentic Workflows
- Design and deliver generative-AI capabilities across the legal stack: AI-assisted contract drafting, review, redlining, clause extraction, and risk flagging; AI summarization of matters, contracts, and legal documents; and natural-language search across legal knowledge.
- Build and productize AI agents that execute or augment core legal and compliance processessuch as legal intake triage and routing, NDA and standard-contract self-service, obligation and renewal tracking, policy Q&A, and regulatory-change monitoring.
- Define and prioritize Model Context Protocols (MCPs) and integrations that securely connect legal systems (CLM, matter management, document management, GRC) to large language models and orchestration frameworks.
- Apply retrieval-augmented generation (RAG) over contracts, policies, and legal knowledge bases to deliver grounded, citable answers for legal and business stakeholders.
- Evaluate, pilot, and scale AI legal-tech vendors and native AI features (e.g., contract AI, AI assistants, e-discovery AI), running structured proofs-of-concept and build-vs-buy assessments.
- Establish evaluation and quality processes for AI featuresprompt design, model selection and tradeoffs, accuracy and hallucination testing, human-in-the-loop review, and continuous tuning.
Business Process & Solution Design
- Lead end-to-end, AI-augmented redesign of core legal workflowscontract lifecycle management, matter intake and management, outside-counsel and legal-spend (e-billing), e-signature, entity and corporate records management, and legal hold and e-discovery.
- Translate business requirements into clear functional specifications and solution designsincluding where AI augments, automates, or fully owns a step, and where humans stay in the loopfor EAIT delivery teams.
- Ensure solutions are scalable, auditable, and aligned with data privacy, security, internal controls, and compliance standards, including protection of privileged and sensitive information in all AI workflows.
Enterprise Applications Enablement
- Partner with EAIT engineers, administrators, AI architects, and platform owners to design and deliver enhancements, integrations, MCPs, and AI agents across legal technology platforms.
- Review and approve configurations, workflows, integrations, prompts, and agent designs to ensure they meet business, legal, and IT governance requirements.
- Guide prioritization of enhancements, AI capabilities, upgrades, and technical-debt remediation across legal-managed platforms.
Stakeholder Partnership & Delivery
- Serve as the primary EAIT point of contact for Legal & Compliance stakeholders and as a champion for AI-first ways of working across the legal function.
- Manage intake, prioritization, and delivery of requests, balancing stakeholder needs with EAIT capacity and the AI roadmap.
- Lead cross-functional initiatives from discovery through deployment, ensuring clear communication, change management, and timely execution.
Responsible AI, Controls, Privacy & Insights
- Govern the full lifecycle of AI agents and MCPs in the legal domain, ensuring responsible-AI practices: guardrails, privilege protection, data governance, access controls, auditability, and human oversight.
- Partner with Legal, IT risk, Security, and audit teams to ensure AI-enabled systems and processes support privacy, regulatory, and SOX-related requirements and safeguard attorney-client privilege and sensitive data.
- Define and oversee KPIs and operational metrics for legal and compliance systems, including AI accuracy, reliability, adoption, and ROI.
- Collaborate with data, BI, and AI teams to deliver dashboards, analytics, and AI-driven insights that support >this form and a member of our team will get in touch with you.
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