Gibsondunn

Gibsondunn

Director of Legal Innovation and AI

Los Angeles; New York City; Washington, D.C · Director

Sponsorship not specified$300k-$380kDetected 20 days ago
Vector DatabasesMachine LearningLLMsRAGCybersecurityIncident ResponseNegotiationProcurementResearchLeadership

About the role

  • This role reports to the Chief Legal Operations Officer.
  • Execute on the evolving firmwide legal innovation and AI multi-year roadmap, approved by firm leadership, covering practice-group AI deployment, client-facing capabilities, operational AI, and AI talent development.
  • Advise the CLOO on AI's strategic implications for firm competitiveness, pricing strategy, talent markets, and client expectations.

Responsibilities

  • Our recruiting support team will respond as soon as possible.

Requirements

  • 15+ years of progressive experience in AI/ML strategy, enterprise technology, or legal technology
  • at least 5 years in a similar level role.
  • Proven track record of designing, deploying, and governing enterprise programs at scale, including generative AI, large language models, and AI-enabled workflow automation.
  • Deep expertise in the generative AI landscape: LLM capabilities and limitations, prompt engineering, retrieval-augmented generation, vector databases, AI evaluation methodologies, and responsible AI frameworks.
  • Demonstrated experience leading AI vendor evaluation, enterprise contract negotiation, and vendor performance governance at the executive level.
  • Prior experience in a law firm, legal operations, in-house legal department, or legal technology company.
  • Familiarity with legal AI platforms: Harvey, CoCounsel, Lexis+ AI, iManage integrations, or equivalent.
  • Knowledge of attorney professional responsibility rules governing AI (Model Rules 1.1, 1.6, 3.3, 5.1, 5.3) and emerging jurisdictional guidance.
  • JD, MBA, or an advanced degree in Computer Science, AI, or a related discipline.
  • Exceptional executive presence: ability to advise and influence managing partners, boards, and peers through compelling, evidence-based narratives.
  • Experience building and leading multidisciplinary teams.
  • Track record developing and implementing AI governance frameworks, ethics policies, and incident response protocols in a regulated environment.
  • Deep understanding of AI ethics, responsible AI principles, and professional responsibility obligations governing attorney AI use.
  • Experience building custom AI tools using Anthropic Claude, OpenAI, or other frontier APIs, including RAG pipelines, document-processing workflows, and multi-agent systems.

Skills

  • Working with the
  • Enforce the firm's AI Governance Framework.

Compensation

  • The annual compensation range for this position is $300,000 - $380,000.
  • The salary offered within this range will depend upon qualifications and other operational considerations.
  • For technical difficulties with our online application, please contact us at staffrecruiting@gibsondunn.com.
  • Our recruiting support team will respond as soon as possible.
  • Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities.
  • We strive to ensure an inclusive and accessible hiring experience.

Company info

  • We strive to ensure an inclusive and accessible hiring experience.

Equal opportunity

  • If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at recruiting-accommodations@gibsondunn.com.
  • Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process.
  • Inquiries about the status of an application or other non-accommodation matter will not receive a response.

Visa & Work Authorization

  • Sponsor an AI Cohort Program: a network of attorney and staff advocates across practice groups and offices who accelerate peer adoption and surface real-world AI use cases
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This listing is sourced directly from Gibsondunn's careers page and normalized into a canonical job model.