Legora
Vertical AI · Legal AI
Vertical AI · Legal AI
Legora currently has 14 active AI-related job listings. The hiring process is evenly split between the application stage and the agents stage, with each accounting for 50% of the open roles. Product and Engineering are the most frequently sought functions. The company is actively hiring in the United States and Sweden. Recent hiring trends show a decrease in new AI roles, with 5 new positions posted in the last 30 days, a 37% drop compared to the previous 30-day period.
Currently tracking 7 active AI roles, up 15% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Legora currently has 21 active AI-related roles in our index. The most common open titles are: Lead Legal Engineer (6), AI Marketing Engineer, AI Enablement Manager, Forward Deployed Engineer - SE, Platform Consultant - Denver. Most positions are in Product and Engineering.
Legora's active AI hiring is concentrated in: application (71%), agents (29%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Legora is hiring AI talent in: United States (9 roles), Sweden (8 roles), Australia (2 roles), United Kingdom (1 role).
Job postings at Legora most frequently mention: Product Management, Machine Learning, Content Generation, AI Coding Agents, Tool-Using Agents.
In the past 30 days, Legora has posted 12 new AI-related roles. That is a +140% change versus the prior 30 days (5 → 12).
| Title | Stage | AI score |
|---|---|---|
| Data & Analytics Intern This internship focuses on designing, building, and deploying an internal analytics agent that leverages Legora's data stack. The agent should be able to answer business questions, navigate data models, and improve over time. The role involves end-to-end ownership, from scoping to iteration, with a strong emphasis on shipping a functional product that remains in use post-internship. | Agent | 8 |
| AI Enablement Manager The AI Enablement Manager will own initiatives across building AI agents and internal tools, enabling teams through training and support, and governing AI usage with guardrails. This role requires a technical foundation, experience in fast-moving environments, and a generalist mindset to drive AI adoption and safe usage within the organization. | Agent | 7 |
| AI Marketing Engineer This role focuses on building AI agents and workflows to improve marketing operations within a legal tech company. The engineer will partner with marketing teams to design, deploy, and integrate AI solutions, evaluate new technologies, and act as an internal evangelist for AI. | Agent | 7 |
| Senior Operations Manager - AI & Knowledge This role is responsible for building and maintaining the knowledge substrate that powers AI agents and internal employees at Legora. It involves designing the knowledge taxonomy, governing sources of truth, cleaning existing data, and automating the process to keep the knowledge base clean and reliable. The goal is to enable AI agents to navigate company information and perform tasks, starting with an internal helpdesk agent and new joiner experience. | Agent | 7 |
| Software Engineer - AI Enablement & Workplace Technology This role focuses on building and operating internal AI-powered automations and integrations using large language models like Claude. It involves developing agents, skills, and cross-system automations, shipping integrations based on specifications, and managing the underlying infrastructure including CI/CD, guardrails, and observability. The role also touches on compliance-as-code and detection/response alongside Information Security. | Agent | 7 |
| Software Engineer (AI Focus) Software Engineer with AI Focus at Legora, a company revolutionizing the legal industry with an AI-native workspace. The role involves architecting and implementing AI and LLM features end-to-end for their web platform, utilizing agentic tools and working with technologies like React, Node.js, AWS, Azure, and Kubernetes. Requires a few years of experience in implementing and evaluating AI/LLM applications, strong coding skills in Node.js, and an autonomous, problem-solving mindset. | Agent | 7 |