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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 making a significant impact in the legal industry with advanced technology.
- Qualifications: Solid experience in Python, ML/NLP libraries, and a strong understanding of legal language and workflows.
- Other info: Opportunity to work with leading professionals and contribute to groundbreaking legal tech advancements.
The predicted salary is between 60000 - 84000 £ 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 local meetups to connect with industry experts and gain insights that could give you an edge in your application process.
✨Tip Number 3
Showcase your technical skills through personal projects or contributions to open-source initiatives. Having a portfolio that highlights your experience with Python and NLP libraries can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to machine learning and natural language processing. Being well-prepared will boost your confidence and help you demonstrate your problem-solving abilities effectively.
We think you need these skills to ace Legal AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Legal AI Engineer. Familiarise yourself with the specific skills mentioned in the job description, such as experience with Python, ML/NLP libraries, and legal workflows.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your background in AI, machine learning, and any legal tech tools you've worked with. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the intersection of law and technology. Discuss specific projects or experiences that demonstrate your ability to develop AI solutions for legal challenges. Make it personal and show why you're excited about this opportunity.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your writing is clear and professional, as attention to detail is crucial in both legal and technical fields.
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 AI models or NLP techniques, especially in legal contexts, to demonstrate your expertise.
✨Understand Legal Language
Familiarise yourself with legal terminology and workflows. Being able to speak the language of law will help you connect with the interviewers and show that you can effectively collaborate with legal experts.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world legal scenarios. Think about how you would approach specific challenges in legal document analysis or compliance, and be ready to articulate your thought process.
✨Demonstrate Collaboration Skills
Highlight your ability to work with cross-functional teams, including legal SMEs and data scientists. Share examples of past collaborations that led to successful outcomes, showcasing your teamwork and communication skills.
