Everlaw
Everlaw builds a cloud-based ediscovery and litigation platform for law firms, corporate legal teams, and public agencies to search, review, and organize evidence at scale. Its products include AI-assisted document review and investigation workflows, delivered as SaaS with usage-based data processing and hosting. Founded in 2010 and headquartered in Oakland, California, the privately held company is used by many Am Law 200 firms and U.S. government agencies.
Open Positions at Everlaw
6 open positions
Build and operate Everlaw’s platform-wide observability infrastructure, including logging, metrics, dashboards, alerting, and telemetry pipelines. You’ll improve production visibility and incident response across commercial and federal environments while supporting high availability and FedRAMP compliance.
Senior GTM AI Engineer responsible for building production AI agents, conversational tools, and workflow automations that improve Sales, Marketing, Revenue Operations, and Customer Success. The role owns the GTM AI roadmap and works in a hybrid Oakland office environment.
Senior Software Engineer building AI platform capabilities that power retrieval, agentic workflows, search, and other user-facing legal technology experiences. The role combines hands-on software development, platform scaling, technical mentorship, and collaboration across product and engineering teams.
Everlaw is hiring a Staff AI Engineer to lead the technical strategy and production application of frontier AI, LLMs, and multimodal systems in legal discovery. The role combines hands-on AI leadership with company-wide technical guidance and is based onsite three days per week in Oakland.
Everlaw is hiring a Senior Software Engineer to shape automated testing infrastructure and developer tools across its engineering organization. You’ll improve CI/CD reliability, build productivity tooling, and mentor QA Engineers while partnering closely with Development and DevOps.
Build and harden Everlaw’s high-performance release platform across CI/CD, build systems, cloud infrastructure, and deployment automation. You’ll help create deterministic, API-driven foundations for future AI-agent workflows while leading complex engineering efforts.