Client & Legal Knowledge Engineer

Design knowledge models, metadata approaches and content structures that support search, AI retrieval, product development and reuse across the Client and Legal Knowledge portfolio.

Work with Knowledge Lawyers, client knowledge colleagues, product teams and knowledge operations colleagues to identify repeatable workflows, common questions and opportunities for standardisation.

Ensure knowledge assets are aligned with firm standards, relevant governance requirements and agreed content, metadata and taxonomy principles.

Support the development of AI-enabled knowledge experiences grounded in trusted firm content.

Help design retrieval, prompt and workflow approaches that improve access to client and legal knowledge.

Evaluate AI-enabled outputs from a knowledge quality, usability, confidentiality and governance perspective.

Contribute to guidance and standards for responsible use of AI across legal knowledge products.

Take responsibility for seeing agreed search, navigation, taxonomy and intranet improvements through from issue identification to implementation and review.

Work with Knowledge Lawyers, product colleagues and content owners to design and maintain user-centred navigation routes, including local topic structures, practice area views, knowledge-type filters and task-based journeys.

Apply and improve knowledge taxonomies, metadata models and content classification approaches, including local topics, knowledge types, jurisdiction, practice area, legal topic, document type and lifecycle status where relevant.

Use search analytics, user feedback and content performance signals to identify gaps, duplication, poor findability and opportunities to improve the user experience.

Partner with content owners to ensure intranet pages, knowledge collections and search experiences remain current, well-structured, governed and aligned with agreed taxonomy and metadata standards.

Identify, shape and support practical knowledge engineering use cases across the Client and Legal Knowledge portfolio, including legal knowledge, client knowledge, knowledge products, search, intranet, taxonomy, content operations, adoption and AI-enabled knowledge initiatives.

Work with colleagues across Client and Legal Knowledge to understand common pain points, repeated requests, user journeys and opportunities to improve how knowledge is created, structured, surfaced, governed and reused.

Translate portfolio-wide needs into clear requirements, prototypes, pilots and prioritised improvements, ensuring use cases are grounded in trusted content, clear user needs, appropriate governance and practical delivery considerations.

Connect related activity across content, product, search, taxonomy, data, adoption and operations so that solutions are reusable, scalable and aligned with the firm’s knowledge strategy.

Measure adoption, user satisfaction and value so that knowledge products and use cases continue to evolve with lawyer, client and business needs.

Map legal workflows and identify where structured knowledge, automation or AI can reduce duplication and improve consistency.

Create or shape working prototypes, workflows, pilots and reusable knowledge components in partnership with product and technology teams.

Define knowledge requirements for system integrations and ensure the right content, metadata and controls are considered from the outset.

Help prepare knowledge content for AI use by improving structure, metadata, summaries, relationships and governance.

Contribute to controlled pilots involving natural language search, RAG, knowledge assistants, drafting support and workflow automation.

Support testing and quality review of AI-enabled knowledge outputs, including accuracy, source grounding, confidentiality and usability.

Work across Client and Legal Knowledge workstreams to connect product, content, data, search and operations activity.

Share practical knowledge engineering methods with colleagues and help build confidence in AI-enabled ways of working.

Produce clear documentation, guidance and updates so that new tools and processes are understood and adopted.

Work with colleagues across Client and Legal Knowledge to turn priority problems into practical, reusable knowledge use cases.

Support use cases from problem definition through requirements, prototype, pilot, adoption and continuous improvement.

Get involved hands-on in content review, taxonomy mapping, testing, user feedback analysis, documentation and implementation activity where needed.

Take a proactive, practical approach to moving work forward - identifying what needs to be done, unblocking issues and helping the team deliver.

Be willing to get into the detail and work hands-on across content, taxonomy, search configuration, testing, documentation, user feedback analysis, clean-up activity and operational tasks where needed.

Work collaboratively across the team, stepping in to support colleagues and shared priorities rather than focusing only on narrowly defined responsibilities.

Balance strategic thinking with practical execution, ensuring that ideas are translated into usable, adopted and well-governed knowledge solutions.

Help maintain momentum on pilots, intranet improvements, taxonomy updates, search enhancements and knowledge product changes by following through on actions and driving work to completion.

Your experience

Experience improving knowledge search, intranet findability, guided content experiences or content discovery in a legal, professional services or enterprise knowledge environment.

Practical experience applying or maintaining taxonomies, metadata schemas, topic structures, knowledge-type classifications, content standards or controlled vocabularies.

Experience identifying, shaping or supporting practical knowledge, content, search, automation, intranet or AI-enabled use cases across a team, function or portfolio.

Ability to work across multiple workstreams and stakeholder groups, translating user needs into reusable, scalable and practical knowledge solutions.

Comfortable working at both conceptual and operational levels - from designing taxonomy, search and use-case principles through to reviewing content, testing user journeys and helping implement improvements.

Experience in a global law firm or professional services environment.

Experience with Microsoft 365, Power Platform, Azure AI, Copilot, legal AI tools or equivalent platforms.

Experience supporting pilots, proofs of concept or product enhancements from idea through adoption.

Familiarity with data governance, permissioned search, metadata quality, knowledge graphs, semantic search or content migration activity.

Ability to work fluently with technical colleagues without needing to sit as a pure software engineering or data science role.

At Clifford Chance, we understand that our true asset is our people. Inclusion is good for our team and their families, our firm and society.

We are committed to treating all employees and applicants fairly and equally regardless of their gender, gender identity and expression, marital or civil partnership status, race, colour, national or ethnic origin, social or economic background, disability, religious belief, sexual orientation, or age. This applies to recruitment and selection, terms and conditions of employment including pay, promotion, training, transfer and every other aspect of employment.

We have a variety of flourishing employee networks. These networks are a place for colleagues to share experiences and advocate for change wherever they see an opportunity for improvement.

Our goal is to deliver an equality of opportunity, an equality of aspiration and an equality of experience to everyone who works in our firm.

Find out more about our inclusive culture here .