AI Engineer, Legal & Compliance

About This RoleAI processing…

Key Responsibilities

• 1
  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.
• 2
  Build and productize AI agents that execute or augment core legal and compliance processes—such as legal intake triage and routing, NDA and standard-contract self-service, obligation and renewal tracking, policy Q&A, and regulatory-change monitoring.
• 3
  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.
• 4
  Apply retrieval-augmented generation (RAG) over contracts, policies, and legal knowledge bases to deliver grounded, citable answers for legal and business stakeholders.
• 5
  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.
• 6
  Establish evaluation and quality processes for AI features—prompt design, model selection and tradeoffs, accuracy and hallucination testing, human-in-the-loop review, and continuous tuning.
• 7
  Lead end-to-end, AI-augmented redesign of core legal workflows—contract 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.
• 8
  Translate business requirements into clear functional specifications and solution designs—including where AI augments, automates, or fully owns a step, and where humans stay in the loop—for EAIT delivery teams.
• 9
  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.

Requirements

• Bachelor’s degree in Information Systems, Business Administration, Legal Studies, or a related field.
• 8+ years of experience in enterprise applications, legal operations / legal technology, business systems, or product management, with hands-on expertise supporting legal and/or compliance functions.
• Demonstrated experience delivering AI-powered products or features—generative AI / large language models, AI assistants, or intelligent automation—ideally within legal, compliance, or enterprise applications, with a clear bias toward applying AI to solve business problems.
• Working knowledge of leading LLM platforms (e.g., OpenAI, Anthropic, Gemini) and core GenAI techniques such as prompt engineering, retrieval-augmented generation (RAG), evaluation, and guardrails, with the ability to reason about model tradeoffs.
• Familiarity with AI agent and orchestration frameworks (e.g., LangChain, CrewAI, Semantic Kernel) and Model Context Protocols (MCPs), and experience integrating AI with enterprise systems is a strong plus.
• Hands-on experience with legal technology platforms such as contract lifecycle management (e.g., Ironclad, Agiloft, DocuSign CLM), matter management and e-billing (e.g., SimpleLegal, Brightflag, Legal Tracker), e-signature (e.g., DocuSign), entity management, legal hold / e-discovery, and/or GRC tools—including their native AI capabilities.
• Experience evaluating, selecting, and deploying AI legal-tech vendors and running proofs-of-concept and build-vs-buy assessments.
• Strong commitment to responsible, secure, and explainable AI, with experience embedding privacy, privilege protection, audit controls, and SOX-aligned governance into AI-enabled workflows.
• Experience owning or managing enterprise application products within an IT or EAIT-style organization, and the ability to translate business needs into product roadmaps, functional requirements, and delivered solutions.
• Strong stakeholder management skills and the ability to partner effectively across Legal, Compliance, IT, and executive leadership, with excellent written and verbal communication and the ability to influence without authority.
• Growth mindset and the ability to operate in ambiguity, define standards where none exist, and scale AI solutions from proof-of-concept to enterprise-wide adoption.
• Relevant certifications (PMP, product management, AI/ML, or legal operations / CLM certifications) are a plus.

Perks & Benefits