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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 is essential.
- Other info: Opportunity to work with leading legal tech tools and contribute to industry-leading solutions.
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, workshops, 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 technical skills through personal projects or contributions to open-source initiatives. Having a portfolio that highlights your work with Python, NLP libraries, and any legal-specific applications can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific legal challenges you've encountered or studied. Being able to articulate how your skills can address real-world legal problems will resonate well with the hiring team and show your readiness 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 AI, machine learning, and legal tech. Emphasise your skills with Python and any NLP libraries you've used, as well as your understanding of legal language and workflows.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the intersection of law and technology. Mention specific projects or experiences that demonstrate your ability to develop AI solutions for legal challenges.
Showcase Relevant Projects: If you have worked on any projects related to NLP or legal document analysis, include them in your application. Provide links to your GitHub or portfolio to showcase your work and problem-solving skills.
Highlight Collaboration Skills: Since the role involves working closely with legal experts and data scientists, emphasise your teamwork and communication skills. Share examples of how you've successfully collaborated in previous roles or projects.
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 you've worked on, especially those related to legal text analysis, to demonstrate your technical prowess.
✨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 understand the domain you're working in.
✨Discuss Collaboration
Highlight your experience working with cross-functional teams, particularly with legal experts and data scientists. Share specific examples of how you've translated domain knowledge into machine learning solutions.
✨Prepare for Model Evaluation Questions
Expect questions about how you evaluate model performance, especially in terms of accuracy and fairness. Be ready to discuss your approach to ensuring compliance when handling sensitive legal content.
