An exciting opportunity has arisen for a practising lawyer who is passionate about the transformative potential of AI in legal services. This is not a purely legal, knowledge, or technology role; it is for someone energised by shaping a firm's legal technology direction and ensuring it stays ahead of a fast-moving market.

You will bring your legal expertise and technological skills to a team focused on embedding AI tools into the heart of how the firm works, how it shares legal knowledge, and how it serves clients. You will be a credible voice internally and externally, capable of speaking the language of both the lawyer and the technologist.

You will be part of the LegalTech and AI Practice, which sits alongside the global LegalTech and Innovation team. The team operates across international offices, and this role reflects that global reach. Primary hubs are London and Frankfurt, though candidates based in other locations are welcome. You will work closely with colleagues internationally, engaging with practice groups, knowledge teams, and business services functions across the network.

Qualified lawyer with at least one year's experience in private practice
Demonstrable interest in and knowledge of AI and legal technology, including familiarity with AI-assisted legal tools and platforms
Strong computer literacy, including MS Office (Word, Excel, PowerPoint) and database software
Knowledge and experience of relational databases, content management systems such as SharePoint Online, enterprise search and AI functionality
Excellent communication and presentation skills
Experience of, or a clear aptitude for, project delivery, including requirements gathering, process mapping, testing, and training
Comfortable facilitating workshops and training sessions for professional audiences
Prior experience in a LegalTech, innovation, or knowledge management role within a law firm or legal team
Experience with AI tools applied to legal workflows (e.g. contract review, due diligence, document drafting, or research)
Familiarity with client-facing technology platforms and portal products
A solid understanding of metadata, taxonomies, ontologies and knowledge graphs and how they can be used to classify and structure data

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