Manage legal operations and technology initiatives, driving AI tool adoption, workflow automation, and infrastructure improvements for a legal function. Requires 5+ years in legal ops/tech and strong AI fluency.
Salary not listed
On-site5+ YOELegal
About the role
What You Will Work On
Deeply learn how the Legal team operates across every sub-function — including the matter types, playbooks, jurisdictions, and stakeholders that drive our volume — and use that fluency to continuously identify friction, duplication, and risk that others have learned to live with.
Coordinate and operationalize the Legal function's transformation roadmap in partnership with Legal leadership: maintain a prioritized portfolio of initiatives, sequence the work against dependencies and capacity, and ensure every initiative has a clear objective, owner, measurement plan, and appropriate guardrails.
Drive projects end to end — from intake and scoping through kickoff, rollout, adoption, and post-launch iteration — including stakeholder engagement, training, change management, and coordination with cross-functional partners.
Lead or support, as appropriate, the evaluation, selection, configuration, and rollout of AI tools and legal technology solutions that automate routine work, improve decision-making, and increase attorney leverage.
Partner with attorneys to create structured playbooks, prompts, knowledge bases, and decision frameworks, and escalation rules that AI tools can apply consistently and safely.
Build and continuously improve the operating infrastructure of a modern legal function — including matter intake and triage, knowledge management, spend tracking and forecasting, outside counsel management, compliance calendars, and leadership reporting.
Build self-service legal knowledge and guidance systems that enable internal teams to quickly resolve routine questions while ensuring appropriate escalation paths for higher-risk or novel issues.
Build the reporting framework used to evaluate Legal's performance, capacity, efficiency, business impact, and risk trends.
Establish the documentation, runbooks, and operational standards that make every system we build understandable, auditable, and maintainable over time.
How You Will Do Your Work
Builder's Mindset — when you see a manual, repetitive process, your first instinct is to map it, decompose it, and rebuild it as a system. You ship prototypes, not slide decks about prototypes.
Initiative and Motivation — you identify what needs to be done and do it before being asked. You read the workflow inventory, participate in team meetings, watch where bottlenecks are happening, and bring forward proposals with a recommendation and a measurement plan.
Technical and AI Fluency — you are deeply comfortable with AI tools and stay on the leading edge of what's possible. You can pick up a new tool quickly, write effective prompts and playbooks, evaluate model outputs critically, and reason about how systems integrate (APIs, MCP servers, webhooks, integrations between platforms). You translate emerging technologies into practical, scalable, well-governed solutions that improve how legal work gets done.
Judgment and Risk Awareness — you understand that in Legal, the wrong AI output may not just be a bug, but a potential risk. You design for human review where it matters, escalation paths that work, and measurement that includes a guardrail metric, not just a productivity metric.
Teamwork and Communication — putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, and clear written updates that people actually want to read.
Qualifications
5+ years of professional experience in legal operations, legal technology, program or project management within a legal or compliance function, or a comparable operations and build role in a fast-moving company.
Demonstrated track record of designing and shipping workflow automation or AI-enabled tooling that moved a measurable business metric, such as cycle time, throughput, cost-to-serve, or capacity.
Strong project management skills, with the ability to run multiple workstreams in parallel, with cross-functional stakeholders, on overlapping timelines.
Exceptional fluency with AI tools and a demonstrated habit of staying on the leading edge of the space — including hands-on experience with frontier AI assistants and agents (e.g., Claude, ChatGPT, Gemini, NotebookLM), prompt engineering, building custom AI workflows or projects, and configuring AI tools against structured playbooks and knowledge bases.
Strong technical instincts and the ability to reason about how systems connect — including APIs, integrations, automations, MCP servers, and the trade-offs between point solutions and platform approaches; you do not need to be an engineer, but you should be able to hold your own in a scoping conversation with one.
Excellent written communication skills, with the ability to produce playbooks, project documentation, leadership updates, and clear summaries of complex work.
Strong sense of ownership, with a focus on results and outcomes; ability to proactively remove obstacles, and willingness to go above and beyond to chase down loose ends that lead to outstanding results.
High judgment around confidentiality, privilege, and risk; unquestionable professional ethics, trustworthiness, and commitment to excellence.
Nice to Haves
Direct experience with one or more of the following is highly preferred: contract lifecycle management, entity management platforms, e-billing or matter management, privacy operations (DSR, DPIA), or compliance calendar tooling.
Experience supporting an international legal function or a multi-entity organization.
Background in HR tech, fintech, PEO or EOR, or another regulated B2B environment.
Light scripting ability (Python, SQL, or similar) for data pulls, prototyping, and integrations is a meaningful plus but not required.
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