AI Strategy Manager | Top Global Law Firm

Coda Search│Staffing; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Coda Search│Staffing is partnering with a premier US law firm to recruit an AI Strategy Manager who will bridge law and technology. The role is hands‑on and senior, turning legal expertise into practical AI tools, prompts and workflows used daily by attorneys and business teams.

The ideal candidate is a practicing attorney with strong technical fluency who can own AI initiatives, shape strategy and drive adoption across the firm. Expect high visibility with Partners and leadership responsibility.

Qualifications

• Hands‑on experience with prompt engineering and AI workflow development.
• Ability to translate legal expertise into practical AI tools and workflows.
• Strong communication skills to explain technical concepts to non‑technical audiences.

Responsibilities

• Design, build and refine AI-enabled workflows that address high‑value legal and business pain points.
• Create prompts, libraries and multi‑step workflows from prototype to reliable tools.
• Train and enable colleagues through workshops, curricula and reference materials.
• Collaborate with partners across practice groups to measure adoption and impact.

Skills

Prompt engineering

AI workflows

Legal tech

Stakeholder mgmt

Education

JD

Bachelor in Law/CS/IS

Job description

We are currently partnered with one of the US's leading law firms on an AI Strategy Manager role supporting the firms AI Strategy and transformations efforts. This is a rare chance for a practicing attorney with real technical fluency to step out of traditional practice and help lead how an elite firm adopts AI across its legal and business functions.

The firm sees AI as changing legal work right now and wants to shape that change from the inside. The successful candidate will sit where legal practice meets technology. They will take the firm’s legal expertise and turn it into practical AI tools, prompts and workflows that attorneys and business professionals use every day. The role is hands‑on and senior, with a high degree of ownership, visibility with Partners, and the chance to set the standard for AI‑enabled legal work at a premier firm.

Responsibilities

Workflow Design & Development

• Partner with attorneys and business professionals across practice groups and departments to find high‑value pain points, then turn them into concrete AI‑enabled workflows
• Design, build and refine advanced prompts, prompt libraries and multi‑step agentic workflows, taking ideas from prototype to reliable, repeatable tools
• Test workflows for quality, accuracy and reliability, building in human review checkpoints and guardrails suited to legal work, professional responsibility obligations and business use
• Maintain and update deployed workflows as models, platforms and firm needs change

Training & Enablement

• Act as a hands‑on resource and trusted advisor through one‑on‑one coaching, workshops and office hours
• Develop training curricula, playbooks and reference materials that build AI fluency across the firm
• Explain technical AI concepts in clear, practical terms for non‑technical audiences at every level

Strategy, Measurement & Collaboration

• Work with Practice and Client Solutions colleagues to track adoption, usage and impact of workflows and training, and use the results to set priorities
• Keep up with the legal AI vendor and tooling landscape, and assess new tools and techniques for legal and business use
• Work closely with Knowledge & Innovation, Information Systems, Information Security and Professional Development so that workflows and training are aligned, secure and well supported
• Serve as a key liaison to Information Systems on testing and integrating AI tools with firm systems

Qualifications

• JD from an accredited law school; admitted to practice (New York bar preferred)
• Bachelor’s degree, ideally in Law, Computer Science, Information Systems or a related field
• 4+ years of legal practice in a BigLaw or comparable professional services setting; in‑house experience also considered
• Proven hands‑on experience with prompt engineering, AI workflow or tool development, or similar technical experimentation
• Working understanding of retrieval augmented generation (RAG), workflow automation and the legal AI vendor landscape
• Experience designing or delivering training and enablement content for audiences with mixed technical backgrounds