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Senior Legal Product and Innovation Manager

On-site in London·Added today (last checked 26 Oct)

Our summary

Work mode
On-site, London
Experience
Senior level

Skills

The role

View the full job details, responsibilities and requirements in PDF format.

Innovation and AI strategy

  • Support the development and delivery of the firm's innovation and AI strategies.
  • Translate strategic priorities into practical programmes, projects and initiatives.
  • Advise senior stakeholders on innovation, emerging technology and changing client expectations.
  • Promote a responsible, pragmatic and client-centred approach to innovation.
  • Deputise for the Director of Innovation and Knowledge on relevant matters when required.

Product and service development

  • Lead and support the development of technology-enabled products, services and internal solutions alongside the firm's subject matter experts.
  • Work with stakeholders to understand their needs and translate them into clear requirements.
  • Manage product roadmaps, priorities, pilots and improvement activity.
  • Gather and evaluate feedback from users, clients, subject matter experts and other stakeholders.
  • Coordinate testing and quality assurance before solutions are introduced more widely.
  • Monitor adoption and effectiveness, using feedback and available data to guide improvements.
  • Provide realistic guidance on the capabilities and limitations of AI tools, helping teams identify the most appropriate combination of technology and process for complex work.

Client and stakeholder engagement

  • Build trusted relationships with lawyers, business services teams, clients, suppliers and other external specialists.
  • Support structured engagement with clients to understand their expectations and perspectives on AI-enabled legal services.
  • Use client and stakeholder feedback to inform future service design and innovation priorities.
  • Explain complex technology and governance matters clearly to non-technical audiences.

Responsible AI and governance

  • Develop clear policies, guidance and processes that support safe and appropriate technology use.
  • Promote suitable testing, human oversight and quality assurance.
  • Help colleagues understand the capabilities and limitations of AI tools.
  • Monitor relevant regulatory and market developments and help the firm respond appropriately

AI integration, adoption and training

  • Identify opportunities to apply AI and technology to legal and operational workflows.
  • Design and deliver firmwide and team-specific training, workshops, demonstrations and coaching, working alongside the firm's Learning and Development specialists
  • Develop accessible guidance and practical learning resources.
  • Gather feedback and use it to improve training and adoption activities.

Project and relationship management

  • Manage a varied portfolio of innovation and technology projects.
  • Develop proportionate project plans, objectives, measures of success and reporting.
  • Coordinate cross-functional teams and maintain clear communication with stakeholders.
  • Manage relationships with technology providers and other external partners.
  • Contribute to technology evaluations, pilot projects and supplier discussions.
  • Use evidence and feedback to support decision-making and demonstrate value.

Data and eDiscovery support

  • Liaise with external eDiscovery providers and internal stakeholders regarding platform use, data volumes, storage, support and cost treatment.
  • Capture learning from matters and use it to refine the firm's eDiscovery offering, internal processes and guidance.

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About Kingsley Napley

Industry
Law Firm

In their own words

About the company & team

  • Lead and support Kairos, the firm's framework for gathering, assessing and developing ideas.
  • Facilitate workshops and collaborative sessions that support idea development and practical experimentation.
  • Help create an inclusive environment in which colleagues feel confident sharing ideas, challenging existing approaches and learning from experimentation.
  • Provide day-to-day leadership and coordination across relevant innovation workstreams.
  • Support and develop colleagues contributing to innovation projects.
  • Encourage collaboration and knowledge sharing across teams.
  • Contribute to an inclusive, supportive and constructive working environment.

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