About EverlawAt Everlaw, our mission is to promote justice by illuminating truth. We're changing how legal teams at law firms, corporations, government agencies, and nonprofits find the information they need to achieve their truth-finding goals. We believe technology should be a force multiplier for human intellect, and we see AI as an important part of how Everlawyers can work more effectively and thoughtfully.
The RoleEverlaw is building a deliberate, company-wide approach to AI-not simply to help people work faster, but to transform how we operate: redesigning workflows, improving the speed and quality of decisions, and creating new ways for teams to deliver meaningful outcomes.
Reporting to the VP of IT & Security, you'll own Everlaw's horizontal Corporate AI program end to end across governance, shared tooling strategy, adoption, measurement, and cost and vendor management. You'll drive AI transformation by mobilizing department AI owners and champions and partnering closely with Learning & Development, Legal, and IT & Security.
This is a deeply hands-on role. You'll get deep into enterprise AI platforms, agents, connectors, and workflows-evaluating tools, building and testing practical solutions, and translating what works into reusable capabilities that scale. You'll move promising ideas from exploration to adoption, partner with Legal and Security to establish the guardrails needed to scale them responsibly, and measure whether they are changing how work actually gets done.
This is not an AI research or production engineering role, nor is it a traditional program-management or consulting role. It is a builder-operator role for someone who can work deeply in the systems while running the program with rigor-connecting systems, people, and execution so AI becomes a durable part of how Everlaw operates.
What You'll Do1. Own the enterprise AI operating model and governanceKeep Everlaw's federated AI efforts coherent, secure, and aligned to business priorities.
- Own and operate Everlaw's federated AI framework: run its monthly and quarterly cadence, convene department AI owners, maintain clear accountability across the program, and report progress and risks to the leadership.
- Mature the operating model as Everlaw learns-including its principles, decision rights, ownership boundaries, and RACI across Enterprise AI, IT, Security, Legal, and department AI owners.
- Partner with Legal and Security on data-use governance, including data classification, acceptable use, autonomy limits, and agent guardrails-enabling low-risk work to move quickly while applying appropriate scrutiny to higher-risk uses.
2. Own the enterprise AI stack - expertise, landscape, and evaluationBe Everlaw's resident expert on its enterprise AI platforms and the market around them, shaping what enters the stack, what scales, and what exits.
- Build deep, hands-on expertise in Everlaw's enterprise AI platforms. Use them regularly, understand their strengths, limitations, integrations, and roadmaps, and determine which capabilities are worth piloting, promoting, or standardizing.
- Stay ahead of the AI landscape by proactively researching and shortlisting tools and capabilities that could materially improve how Everlaw works-while filtering out noise and deciding what merits formal evaluation.
- Lead structured, evidence-based evaluations using rubrics, baseline tasks, scorecards, and business-value criteria. Build and test with the tools directly rather than relying on vendor demonstrations, and own recommendations on whether to extend existing platforms, buy new capabilities, or build internally.
- Maintain a coherent shared stack by preventing duplicative or fragmented adoption where an approved platform already meets the need. Advise departments on specialized tools while respecting their ownership of domain-specific applications.
- Coordinate procurement, implementation, rollout, and launch change management with IT, Procurement, Security, Legal, and other partners that own the relevant approval and delivery mechanics.
3. Drive adoption and practical enablementTurn the tools Everlaw already owns into changed workflows and measurable use - most companies use a fraction of what they pay for; you close that gap.
- Build and maintain the central enablement playbook and template library-including intake, POC, change-management, and training patterns-so teams can move quickly without reinventing the basics.
- Provide hands-on guidance for high-value use cases: work directly with teams to redesign workflows and build agents or templates alongside them where targeted support is more effective than a formal engagement.
- Partner with Learning & Development to build practical AI fluency across Everlaw, including tool and model selection, effective AI collaboration, and cost-conscious use.
- Lead the AI champion community of practice, working with department AI owners and champions to surface adoption barriers, training needs, and reusable patterns-and feed what is learned back into playbooks and guidance.
4. Measure value and manage the AI portfolioOwn the methodology that shows whether the Enterprise AI program is creating real value - and the discipline to act on what it shows.
- Own and mature the measurement system behind Everlaw's AI adoption framework - standards for pre-AI baselines, metric targets, and measured results - moving from adoption and activity metrics toward outcomes tied to workflow improvement, quality, risk reduction, and business value.
- Partner with department AI leaders to define success measures for function-specific initiatives, and validate value claims as initiatives graduate through the funnel, so reported impact holds up.
- Run regular portfolio reviews and manage the path from experiment to sustained adoption, with clear criteria for what should scale, consolidate, pause, or stop.
5. Manage AI spend, vendors, and external partnersEnsure Everlaw's AI investments remain sustainable and supported by the right partners.
- Maintain a portfolio-level view of AI spend across licenses, usage-based consumption, pilots, consultants, and implementation services.
- Own the cost-versus-value lens, annual planning, and investment recommendations for shared AI platforms, partnering with Finance, IT, Procurement, and business owners.
- Define practical consumption guardrails-including alerts, thresholds, approval flows, and caps-and adjust them as usage patterns evolve.
- Manage strategic AI vendor relationships, using roadmap insight, product feedback, adoption, and value data to inform negotiations and renewal recommendations.
- Build and maintain a vetted external partner bench for workflow redesign, agent design, configuration, integration, and enablement.
About YouYou are a hands-on builder-operator with deep practical fluency with enterprise AI tooling, strong business judgment, and the discipline to run a company-wide program. You can turn ambiguity into an operating program, work deeply with tools and workflows, and mobilize teams across the company without relying on direct authority.
You are likely to succeed in this role if you:
- Build structure from ambiguity, translating broad goals into clear roadmaps, decision rights, operating rhythms, and measurable outcomes.
- Get deep into the tools. You are a hands-on power user who builds and tests agents, configures connectors, prototypes end-to-end workflows, and troubleshoots where tools break down. You understand how models, permissions, data, and integrations shape what is practical-then turn that firsthand expertise into clear guidance, reusable patterns, and better platform decisions, without needing to write production code.
- Understand how teams work and can identify, redesign, and operationalize workflows where AI creates meaningful value.
- Exercise sound judgment about when to build, buy, extend, scale, pause, or retire capabilities.
- Exercise sound judgment about when to build, buy, extend, scale, pause, or retire capabilities.
- Influence across executives, department leaders, IT, Security, Legal, Finance, Procurement, and Learning & Development.
- Communicate complex technical, risk, cost, and business-value tradeoffs clearly.
- Bring 10+ years of experience in digital transformation, AI and automation, internal platforms, product operations, or corporate systems, including 3+ years leading complex cross-functional programs.
Benefits- The expected salary range for this role is between $193,000 and $244,000. The final offered salary will be dependent upon many factors including the candidate's experience and skills. The role's compensation is subject to change in the future.
- Equity program
- 401(k) retirement plan with company matching
- Health, dental, and vision
- Flexible Spending Accounts for health and dependent care expenses
- Paid parental leave and approximately 10 days (80 hours) per year of sick leave
- Seventeen paid vacation days plus 11 federal holidays
- Membership to Modern Health to help employees prioritize mental health and wellness
- Annual allocation for Learning & Development opportunities and applicable professional membership dues
- Company-sponsored life and disability insurance
- Find out more about our Benefits and Perks
Perks- Work in Uptown Oakland, just steps from the BART line and dozens of restaurants and walking distance to Lake Merritt
- Flexible work-from-home days on Tuesdays and Fridays
- Monthly home internet reimbursement
- Enjoy a wide variety of snacks and beverages in the office
- Bond over company-wide out-of-the-box events and fun activities with your team
- Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
- Take advantage of learning and career development opportunities
- Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies
- One of Wealthfront's 2021 Career Launching Companies, and ranked #2 on the "2022 Bay Area Best Places to Work" list by the San Francisco Business Times and the Silicon Valley Business Journal
- One of Fast Company's World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through "Everlaw for Good"
- #LI-EJ1
- #LI-Hybrid
About Everlaw
At Everlaw, you'll shape how AI re-wires the legal industry, at a category-leading business built on a mission to illuminate the truth.
Everlaw is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees, and we honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
We collect and process the personal information you provided along with your job application in accordance with our Applicants Privacy Notice and Notice at Collection.
When preparing to engage with Everlaw as a candidate, you may use AI tools for research, polishing application materials, and interview prep. However, any assessments (unless explicitly stated), remote interviews or live interviews must be completed independently without AI support.
By submitting your application, you agree to adhere to these rules. Here's the link to our full policy, and please reach out with any questions!
We use Gem as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Gem with job requirements and candidate-submitted applications. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. For positions in New York City, our use of Gem complies with NYC Local Law 144. We began using Gem in April 2026.
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