Legora
Vertical AI · Legal AI
Vertical AI · Legal AI
Currently tracking 7 active AI roles, up 15% versus the prior 4 weeks. Primary focus: Agent · Engineering.
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.
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 |
|---|---|---|
| Technical Platform Expert - Sydney This role is a technical platform expert responsible for deep technical escalations, validating the platform before release, detecting systemic events, and serving as the AI subject-matter expert for a legal AI product. The role acts as the final technical authority on platform behavior, bridging the gap between product promises and customer experience, and influencing product and engineering decisions based on real-world platform failures and AI output patterns. It involves driving technical root cause analysis in incidents and building diagnostic tooling and automation. | Ship | 7 |