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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, 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 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 MLOps practices, especially in handling sensitive data. Being able to articulate how you ensure compliance and security in your AI models will be crucial for this role.
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 how you can contribute to the company's mission.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in the legal field. Consider asking a friend or colleague to review it as well.
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. Highlight specific projects where you've built NLP or document analysis solutions, especially in legal contexts, 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
Emphasise your ability to work with cross-functional teams, including legal experts and data scientists. Share examples of how you've successfully collaborated to translate complex legal concepts into machine learning solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world legal scenarios. Think about how you would approach designing AI models for specific legal challenges and be ready to articulate your thought process.
