Cognition Logo

Cognition

Legal Operations

Posted 13 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Design and build an AI-native legal operating function, including intake, workflows, knowledge systems, automation, legal technology, metrics, budgeting, vendors, and outside counsel management. Partner with technical and business teams to improve legal service delivery, reduce friction, and increase team leverage. Establish scalable operating processes, dashboards, and team culture for a rapidly growing AI company.
The summary above was generated by AI
We are an applied AI lab building end-to-end software agents.

We're the makers of Devin, the first AI software engineer.

Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.

Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.

About The Role

Cognition is looking for an exceptional operator to help build an AI-native legal function for an AI-native company.
This is not a traditional legal operations role. You will design how Legal operates: how work comes in, how decisions get made, how knowledge is captured, where AI and automation can replace repetitive work, and how a small team can support a rapidly growing company without recreating the large, siloed legal departments of the past.
You will own the systems, technology, budget, outside counsel relationships, and operating processes that allow the Legal team to move quickly while maintaining extremely high standards.
The goal is simple: build a legal organization that operates with the speed, leverage, and ambition of Cognition itself.

What You'll Do

Build an AI-Native Legal Function

  • Design and continuously improve the operating model for Legal. Identify work that should be handled by lawyers, work that should be automated, and work that should disappear altogether.

  • Build intelligent intake, triage, workflow, and knowledge systems that allow routine legal questions to be resolved quickly and consistently while directing the hardest problems to the right people.

  • Work with our technical teams to experiment aggressively with Devin, AI agents, and other tools that can materially change how legal work gets done. We don't want to add AI to traditional legal processes. We want to rethink the processes themselves.

Make Legal Easy to Work With

  • Build systems that make it easy for people across Cognition to get good legal answers quickly.

  • Work directly with Sales, Product, Engineering, Security, Finance, People, Communications, and other teams to identify friction and remove it.

  • Create scalable processes without creating bureaucracy. The best legal process is often the one people barely notice.

  • Measure what matters—speed, outcomes, recurring sources of friction, outside spend, and where the team's time is actually going—and use that information to continuously improve how we operate.

Own Legal Technology and Automation

  • Own the technology strategy for the Legal team, including contracting, knowledge management, matter management, e-billing, entity management, and other systems where appropriate. But don't assume we need traditional legal technology simply because other legal departments use it.
    Start with the problem. Determine whether software, AI, automation, a better process—or eliminating the process entirely—is the best answer.

  • Build and deploy AI-enabled workflows that meaningfully increase the leverage of every person on the Legal team.

Own the Business of Legal

  • Own the Legal team's budget, outside counsel relationships, vendors, technology, and operational planning.

  • Develop a deliberate approach to when we use outside counsel and when we build expertise internally. Negotiate fees and alternative arrangements aggressively and make sure external lawyers are delivering expertise rather than work we can do better ourselves.

  • Build simple, useful operating rhythms and dashboards that give us a clear view of the team's priorities, workload, spending, and performance.

Help Build the Legal Team
Help us build a Legal team where exceptional people have unusually high levels of ownership.
We expect people here to understand the business, exercise judgment, solve problems outside narrow job descriptions, and use technology to multiply what they can accomplish.
You'll help turn those principles into the everyday operating culture of the team.


Who You Are
  • You are an unusually strong operator who is comfortable moving between strategy and execution.

  • You have significant experience in legal operations, business operations, or another environment where you were responsible for making a complex organization work better.

  • Experience inside a rapidly growing technology company is strongly preferred.

  • You understand the mechanics of running a sophisticated legal function—budgets, outside counsel, legal technology, contracting systems, planning, and metrics—but you aren't attached to the way legal departments have traditionally done those things.

  • You are deeply curious about AI and already thinking about how it changes professional work.

  • You have excellent judgment and a bias toward action. You can take an ambiguous problem, figure out what actually matters, and drive it to resolution.

  • You communicate clearly, have low ego, and can work effectively with everyone from engineers to executives.

  • Most importantly, you are a builder. When you encounter a broken process, your instinct isn't to manage around it. It's to fix it.

  • Degrees are nice. A JD, MBA, or equivalent experience can be helpful, but we care much more about what you've built and how you think.

What Success Looks Like

A year from now, Cognition should not simply have a more efficient version of a traditional legal department. It should have a legal function that looks fundamentally different: smaller, faster, more automated, more deeply integrated with the business, and capable of doing substantially more than its headcount would suggest.
You will have helped build it.

Equal Opportunity

Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

HQ

Cognition San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

10 Days Ago
In-Office
166K-269K Annually
Mid level
166K-269K Annually
Mid level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Support the in-house Legal team across contract intake and workflows, compliance and privacy operations, IP docketing, corporate entity management, legal mailboxes, and cross-functional initiatives. Maintain repositories, track deadlines, coordinate counsel and stakeholders, and route inbound matters. Use AI-powered legal tools to improve workflows and maintain the team’s AI skill library.
Top Skills: Ai-Powered Legal ToolsClaudeContract Management SystemsDocusignGoogle SuiteIp Docketing SystemsLlmsMS Office
10 Days Ago
Hybrid
Palo Alto, CA, USA
90K-110K Annually
Mid level
90K-110K Annually
Mid level
Artificial Intelligence • Software
Execute and improve Legal team workflows, triage requests, coordinate approvals and documentation, manage operational processes, and support systems implementation. The role partners cross-functionally to streamline operations, manage projects, track metrics, and develop scalable solutions while providing responsive guidance to Legal stakeholders.
Top Skills: Data Analysis SoftwareEnterprise Legal TechnologyProject Management Software
16 Days Ago
In-Office or Remote
7 Locations
218K-327K Annually
Senior level
218K-327K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Leads Legal Innovation & Operations strategy, including legal technology roadmaps, systems optimization, automation and AI initiatives. Oversees CLM, eBilling, knowledge management, and workflow platforms; manages budgets, vendors, and third-party spend; and delivers cross-functional projects with Legal, IT, Finance, Policy, and business teams. The role translates business needs into technology solutions and drives operational excellence through process improvement and data-driven insights.
Top Skills: Artificial Intelligence (Ai)Contract Lifecycle Management (Clm) PlatformsDocusign ClmEbilling PlatformsKnowledge Management PlatformsWorkflow Automation Tools

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account