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- Tasks: Develop AI models for legal documents and collaborate with experts to solve real legal challenges.
- Company: Join a fast-growing Legal Tech scale-up transforming legal workflows with cutting-edge AI.
- Benefits: Enjoy remote work flexibility, competitive salary, and the chance to shape innovative legal solutions.
- Why this job: Be part of a mission-driven team that empowers legal professionals with advanced AI technology.
- Qualifications: Solid experience in Python, ML/NLP libraries, and understanding of legal language required.
- Other info: Opportunity to work with renowned legal tech tools and contribute to industry-leading solutions.
The predicted salary is between 72000 - 108000 £ per year.
A fast-growing Legal Tech scale-up are on a mission to transform the way legal teams work through cutting-edge AI. Their platform helps law firms and in-house counsel automate legal workflows, extract insights from contracts, and ensure compliance more efficiently and effectively. By leveraging Agentic Generative AI they offer real-time analysis on an unprecedented scale to empower legal professionals with autonomous planning, complex reasoning, and proactive decision-making across core legal use cases.
We’re looking for a Legal AI Engineer who’s passionate about building intelligent systems at the intersection of law and machine learning. You’ll work closely with legal experts, data scientists, and product managers to develop AI features that tackle real legal challenges through the use of agentic GenAI.
As Legal AI Engineer you will:
- Design and implement AI models tailored to legal text and documents (e.g., contracts, case law, regulations).
- Apply NLP techniques to extract structured insights from unstructured legal data.
- Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions.
- Continuously evaluate model performance, ensuring accuracy, fairness, and compliance.
- Help shape the data pipeline and MLOps practices for handling sensitive legal content securely.
Required Experience:
- Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch).
- Experience building NLP or document analysis solutions, ideally for legal or compliance use cases.
- Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case law).
- Knowledge of LLMs and prompt engineering.
Bonus:
- Familiarity with legal tech tools or platforms (e.g., Kira, Luminance, Relativity).
This is an excellent opportunity for a Legal AI Engineer to join a highly renowned Legal Tech Scale-up with ambitions to cement their spot as a leader in Corporate Legal CLM Software.
Legal AI Engineer employer: Formula Recruitment
Contact Detail:
Formula Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Legal AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Legal Tech and AI. Understanding how AI is currently being applied in legal workflows will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the Legal Tech space. Attend relevant webinars, conferences, or meetups to connect with industry experts and gain insights that could give you an edge when discussing your experience and ideas.
✨Tip Number 3
Showcase your understanding of legal language and structures by discussing specific projects or experiences where you've applied NLP techniques to legal documents. This will highlight your ability to bridge the gap between law and technology.
✨Tip Number 4
Prepare to discuss your experience with Python and ML/NLP libraries in detail. Be ready to explain how you've used these tools in past projects, particularly in relation to legal applications, as this will be crucial for the role.
We think you need these skills to ace Legal AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Python, ML/NLP libraries, and any legal tech tools you've worked with. Emphasise your understanding of legal language and workflows to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the intersection of law and machine learning. Discuss specific projects or experiences that demonstrate your ability to design AI models for legal applications.
Showcase Relevant Projects: If you have worked on any NLP or document analysis solutions, include these in your application. Provide brief descriptions of the challenges faced and how your contributions made a difference.
Highlight Collaboration Skills: Since the role involves working closely with legal experts and data scientists, mention any past experiences where you collaborated across disciplines. This will show your ability to translate domain knowledge into practical solutions.
How to prepare for a job interview at Formula Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and ML/NLP libraries. Bring examples of projects where you've implemented NLP techniques or built document analysis solutions, especially in legal contexts.
✨Understand Legal Language
Demonstrate your knowledge of legal terminology and workflows. Familiarise yourself with common legal documents like contracts and case law, as this will help you communicate effectively with legal experts during the interview.
✨Discuss Collaboration Experience
Highlight any past experiences where you've worked closely with cross-functional teams, such as legal SMEs or data scientists. This shows that you can translate complex legal concepts into machine learning solutions.
✨Prepare for Model Evaluation Questions
Expect questions about how you would evaluate model performance, particularly in terms of accuracy and fairness. Be ready to discuss methods for ensuring compliance when handling sensitive legal content.
