Forward Deployed Legal Engineer

Overview

As Forward Deployed Legal Engineer, you will translate legal needs into AI-enabled workflows for law firm clients, bridging legal expertise and technology. You’ll design practical process improvements, prototypes, and agent-based solutions, working with cross-functional teams to ensure adoption and measurable value. You operate at the intersection of law, AI, and change enablement, shaping client-ready workflows grounded in trusted content. This role offers meaningful impact at scale by turning AI capabilities into real legal processes.

Pay / Benefits

• enterprise-wide learning and mobility
• flexibility recognized externally
• remote work option
• career growth opportunities
• collaboration with cross-functional teams
• supportive leadership culture

Responsibilities

• Understand law firm workflows and pain points to design process improvements and AI-enabled solutions
• Identify, prioritize, and document legal AI use cases
• Create and refine LLM-based workflows, AI agents, prompts, and evaluation criteria
• Work with LLMs, agent frameworks, retrieval patterns, and legal workflow context to build prototypes
• Define requirements, data inputs, integrations, and workflow logic in collaboration with technical resources
• Prototype using AI, automation, and no-code/low-code tools and gather user feedback
• Map current and future-state workflows; recommend process changes for practical AI adoption
• Coordinate with Data Modernization, Document Management, Knowledge Advisory, and Change Enablement to ground AI agents in content and system realities
• Collaborate with lawyers and knowledge professionals to surface true problems and ensure legal relevance
• Establish evaluation criteria and quality benchmarks for legal contexts (accuracy, defensibility, explainability)
• Track adoption, usage, and value realization metrics linked to client outcomes
• Align AI agents with secure data foundations, confidentiality, and governance requirements
• Document data flows and decisions to support security reviews and risk management
• Capture repeatable patterns into templates, playbooks, and enablement materials
• Contribute to proposals, SOWs, and client presentations with practical AI-enabled approaches
• Stay current on legal industry trends and evolving legal tech best practices
• Translate agentic workflows into adoption plans and role-based enablement
• Support business development by demonstrating measurable client value

Key requirements

• Law degree strongly preferred with experience in legal environments or operations
• Hands-on experience creating AI agents and working with modern large language models (prompting, retrieval-augmented generation, evaluation, workflow orchestration)
• Ability to collaborate with AI Enablement, Data Modernization, Document Management, Knowledge Advisory, and Change Enablement teams
• Experience improving legal or professional services processes via workflow analysis, requirements gathering, or operational redesign
• Comfort working directly with lawyers and non-technical users to test concepts and drive adoption
• Understanding of law firm culture, legal workflows, and adoption pressures
• Strong data security, confidentiality, and privacy awareness for sensitive information
• Excellent written and verbal communication, with ability to translate technical and legal audiences
• Practical improvement mindset; comfortable with ambiguity and action-oriented
• Knowledge of governance, data residency, retention, and access-control requirements
• Ability to move concepts from AI experimentation to actionable, measurable workflows
• Experience with change enablement and adoption planning

• strong communication
• collaboration across diverse teams
• ability to translate between technical and legal audiences
• AI agents development
• LLMs and prompting
• retrieval-augmented generation

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