About Eve
Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong.
Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast.
Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed.
Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up.
AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work.
Explosive growth: We are growing 2X revenue Quarter over Quarter.
What You'll Do:
- Design and Implement Scalable Infrastructure: Build reliable, scalable infrastructure to support AI/ML applications, ensuring seamless operation of our core products.
- Develop Efficient Data Pipelines: Create and manage data pipelines capable of handling complex machine learning workflows, facilitating efficient data processing and analysis.
- Optimize System Performance: Enhance the performance of machine learning systems, managing resources effectively to support large-scale operations.
- Collaborate Across Teams: Work closely with machine learning and development teams to address novel infrastructure challenges, fostering a cohesive and innovative engineering environment.
- Enhance Developer Productivity: Develop platforms and tools that improve developer efficiency, contributing to a more productive engineering workflow.
What We're Looking For:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- Experience in Scalable Infrastructure: Proven experience building reliable, scalable infrastructure for AI/ML applications.
- Proficiency in Cloud Technologies: Strong understanding of modern cloud infrastructure, with a focus on reliability and scalability.
- Data Pipeline Expertise: Experience designing and managing data pipelines for complex machine learning workflows.
- Performance Optimization Skills: Ability to optimize system performance and manage resources effectively at scale.
- Comfort collaborating with cross-functional teams to solve unique infrastructure challenges.
Final compensation will be determined based on a variety of factors, including but not limited to relevant experience, skills, interview performance, and the scope and level of the role and candidate.
Benefits
💰 Competitive Salary & Equity
💹 401(k) Program with Employer Matching
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚗 Commuter Benefits*
🧑💻 Autonomous Work Environment
🖥️ Workplace Setup Reimbursement
🏠 Telecomm Stipend
🏝 Flexible Time Off (FTO) + Holidays
🚀 Quarterly Team Gatherings
🥪 In office Perks*
Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Top Skills
What the Team is Saying
What We Do
Eve Legal is pioneering the future of legal technology by focusing on AI-driven solutions that empower plaintiff-side law firms. With a robust platform designed for efficiency and effectiveness, Eve leverages artificial intelligence to streamline case analysis, enhance decision-making, and optimize client outcomes. Our mission centers on providing attorneys with the tools needed to stay competitive and navigate the legal landscape effectively, especially in an era where demands on legal professionals continue to grow. Eve’s commitment to innovation is evident in their focus on speed, scalability, and reliability. The platform supports legal teams in managing high caseloads with fewer resources, reducing the time spent on routine tasks, and enhancing the ability to focus on high-impact work. Through deep industry insights and a user-centric approach, Eve is setting a new standard in legal tech by combining technical excellence with a nuanced understanding of the plaintiff-side practice needs. With a core belief in elevating legal practices through visionary tools, Eve is committed to reshaping the way legal professionals serve their clients, improving access to justice, and fostering a more efficient legal ecosystem.
Why Work With Us
You’ll join a high-performing team that thrives on collaboration, grit, and innovation. We value excellence, visionary thinking, and elevation as we tackle ambitious goals. Enjoy a supportive, growth-oriented environment with a robust benefits package, where everyone’s contributions are valued, and real impact in legal tech is made together.
Gallery
Eve Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We are located at a beautiful office on 3rd Ave in the heart of San Mateo and 2 blocks from Caltrain. Some of our teams are remote while others have a hybrid model of coming into the office 3 days/week and remote 2 days/week.
