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Job Description
Senior Data Adviser - Lawtech/AI & Data
Our client, a leading UK law firm is seeking a Senior Data Adviser to join its innovative Lawtech function. This is a newly created role and the first dedicated data specialist within the team, offering a unique opportunity to shape data strategy, influence AI adoption, and drive transformation across the business. You will work at the forefront of data, AI and legal technology, helping deliver smarter, more efficient legal services and building scalable, data-driven solutions. Key Responsibilities: Data & Innovation:- Identify opportunities to improve legal service delivery through data, AI and automation
- Analyse firm-wide datasets (financial, client, operational, knowledge) to uncover insights
- Translate business challenges into data-led solutions
- Structure and develop AI-ready knowledge assets and repositories
- Support development of reusable datasets, taxonomies and knowledge frameworks
- Enable scalable AI-assisted services and products
- Build dashboards and visualisations to track adoption and impact
- Deliver insight and recommendations to both technical and non-technical stakeholders
- Support implementation of data governance and data quality frameworks
- Contribute to firm-wide data strategy aligned with innovation goals
- Work cross-functionally with legal, IT, finance and business teams
- Evaluate new technologies and tools
- Support and mentor colleagues within a collaborative environment
- 5+ years' experience in data, analytics, AI or machine learning
- Strong technical skills (Python, SQL, data pipelines)
- Experience with AI technologies (eg LLMs, vector databases, Azure/OpenAI tools)
- Proven ability to deliver insights via tools like Power BI or Tableau
- Strong stakeholder management and communication skills
- Commercial mindset with a passion for innovation
- Experience in legal or professional services
- Exposure to cloud platforms (eg Azure AI)
- Knowledge of legal tech or AI-enabled legal processes
Vacancy posted more than 2 months ago
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