AI-Driven Legal Engineer | Workflow & Adoption Lead

RELX Group

London Borough of Islington

Presencial

GBP 85.000 - 120.000

Jornada completa

Hace 3 días
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Descripción de la vacante

RELX Group's LexisNexis Legal & Professional is seeking a legally qualified Legal Engineer to bridge law, technology and AI, helping law firms and in-house teams transform how legal work is delivered through AI-enabled workflows.

You will lead workflow discovery sessions, design and deploy AI-enabled workflows, and drive adoption with senior stakeholders while delivering measurable improvements in efficiency, quality and risk management.

Formación

  • Qualified as a Solicitor in England & Wales with 3+ years PQE.
  • Experience with complex legal workflows across transactional and/or contentious practice areas.
  • Strong consulting, facilitation and stakeholder management skills.
  • Genuine interest in legal technology and AI-driven workflow transformation.

Responsabilidades

  • Lead workflow discovery sessions with customers to map legal processes and identify AI-enabled improvement opportunities.
  • Design, configure and deploy AI-enabled workflows aligned with client objectives.
  • Deliver onboarding and adoption sessions for different user groups and practice areas.
  • Collaborate with Customer Success to embed workflows and drive adoption.
  • Monitor usage and identify opportunities to improve adoption and value.
  • Translate customer feedback into insights for Product and Development teams.
  • Share best practices across customers and internal teams.

Conocimientos

Stakeholder management
Workflow discovery
AI-enabled solutions design
Legal technology familiarity

Educación

Solicitor qualification England & Wales

Descripción del empleo

RELX Group's LexisNexis Legal & Professional is seeking a legally qualified Legal Engineer to bridge law, technology and AI, helping law firms and in-house teams transform how legal work is delivered through AI-enabled workflows.

You will lead workflow discovery sessions, design and deploy AI-enabled workflows, and drive adoption with senior stakeholders while delivering measurable improvements in efficiency, quality and risk management.

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