Legal Engineer Associate
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COMPANYLegora
This is a unique opportunity to sit at the intersection of law, technology, and product. You’ll gain hands-on experience in how cutting-edge AI is transforming the legal industry, while contributing directly to the development, testing, and adoption of our platform.
You’ll work closely with our Legal Engineers, Customer Success, and Product teams to:
- Support client-facing pilots, onboarding, and training, helping legal teams get the most out of Legora.
- Design and evaluate use cases that showcase our AI on real legal tasks such as contract review, research, drafting, and due diligence.
- Apply your practical legal experience to assess AI outputs, ensuring accuracy, commercial relevance, and usability.
- Capture insights from users and translate them into clear, actionable feedback to inform product development.
- Document best practices and contribute to internal playbooks on how legal AI can be deployed effectively at scale.
Who You Are
- Qualified Solicitor (or equivalent): You have completed a training contract and are newly qualified. You bring hands-on experience of legal workflows from a law firm or in-house team.
- Strong technical foundation in law: Excellent academic background (e.g., 2:1 or above) with exposure to core practice areas such as corporate, commercial, finance, litigation, or similar.
- Tech-curious: Not necessarily a coder, but genuinely interested in legal technology, AI, and workflow automation. Comfortable experimenting with prompt engineering and new tools.
- Commercially aware: You understand how legal teams operate under time pressure and client expectations, and can identify where AI meaningfully improves efficiency and quality.
- Strong communicator: Able to translate between lawyers and technologists clearly and confidently.
- Analytical and detail-oriented: Capable of critically evaluating AI outputs and identifying strengths, weaknesses, and risk areas.
- Adaptable and proactive: Comfortable in a fast-moving environment, bringing structure to ambiguity and taking ownership of projects.
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