AI Adoption & Knowledge Systems Specialist

CB Resourcing; Greater London; On-site; GBP 55,000 - 85,000; Full time

Job summary

International Law Firm in London seeks a Knowledge Systems Specialist to support its AI adoption and innovation programme. You will drive engagement, training and stakeholder communications while embedding AI initiatives across the firm.

Working with Legal Engineering and Knowledge peers, you will produce insights, manage learning resources and help scale AI-focused events and initiatives.

Qualifications

• Experience in legal technology, innovation or knowledge management.
• Strong analytical and reporting skills using Excel and Power BI.
• Excellent organisation and ability to manage multiple priorities.
• Strong written and verbal communication skills.
• Experience coordinating training, events or user engagement initiatives.
• Interest in AI, legal technology and innovation.
• Proactive, collaborative and solutions-focused.

Responsibilities

• Monitoring AI tool adoption, usage and engagement across the firm.
• Producing reports, analysing trends and providing actionable insights.
• Coordinating AI training programmes and maintaining learning resources.
• Supporting lawyers and business services teams with AI-related initiatives.
• Managing internal communications, newsletters and knowledge-sharing activities.
• Assisting with AI-focused events, workshops and engagement programmes.
• Supporting a network of AI champions across the business.
• Maintaining project documentation, records and stakeholder feedback.
• Identifying opportunities to improve processes and increase technology adoption.

Skills

Excel

Power BI

Analytical & reporting skills

Organisational skills

Communication skills

Training coordination

Job description

International Law Firm in London seeks a Knowledge Systems Specialist to support its AI adoption and innovation programme. You will drive engagement, training and stakeholder communications while embedding AI initiatives across the firm.

Working with Legal Engineering and Knowledge peers, you will produce insights, manage learning resources and help scale AI-focused events and initiatives.