Legal Engineer – AI-Enabled Legal Delivery
Il y a 4 heures
Brussels, Belgique
PwC
Temps plein
Gratuit avec email ou Google
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Gratuit avec email ou Google
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
ph3Line of Service Tax Industry/Sector Not Applicable Specialism Corporate and Business Strategy Management Level Senior Associate
Job Description
Summary /h3h3Legal Engineer – AI-Enabled Legal Delivery (Senior Associate / Manager) /h3pWe are recruiting a Legal Engineer to strengthen our transformation team and help design and deliver AI-enabled legal services. This role is embedded in engagement teams and firm initiatives, working with our lawyers and stakeholders to integrate AI into legal delivery in a way that improves quality, efficiency, and consistency, while meeting the standards of a leading law firm
- confidentiality, security, professional judgment, and robust quality control. The role is suited to a Senior Associate / Manager-level profile combining structured problem-solving, hands‑on implementation and strong stakeholder collaboration. /ph3Key responsibilities /h3ulliDesign and implement AI-enabled delivery workflows for legal workstreams (e.g., contract review support, due diligence acceleration, document analysis and summarisation, clause/risk extraction, compliance and investigation triage, knowledge retrieval). /liliBuild and maintain prompting standards and reusable prompt libraries, including playbooks tailored to specific legal use cases and practices. /liliEstablish evaluation and quality frameworks for AI-assisted work (human-in-the-loop review, sampling and testing, accuracy/completeness criteria, escalation paths, traceability and documentation). /liliIdentify and prioritise AI use cases with lawyers and business stakeholders; define the “to-be” workflows or solutions, data inputs, controls, and measurable success criteria. /liliSupport the selection, configuration and adoption of AI and legal tech tools; coordinate with internal functions (IT, knowledge, PMO) and external providers where appropriate. /liliContribute to the development of new AI-enabled client offerings, from initial concept and pilot to operationalised, repeatable delivery. /liliPromote responsible AI use aligned with confidentiality, data protection, security and applicable professional obligations; help embed governance into everyday delivery. /li /ulh3Candidate profile /h3pWe welcome candidates from different backgrounds. The successful candidate will combine strong AI/technology capability with a delivery-oriented mindset and the judgment expected in a leading law firm environment. /ph3Must-have Agentic AI expertise /h3pStrong hands‑on capability in agentic AI (e.g., tool use, orchestration, multi-step workflows, guardrails) with the confidence to make sound technical design decisions (model/tool selection, architecture patterns, evaluation approach, and deployment trade-offs). /ph3AI-enabled workflow delivery /h3pProven experience designing and deploying AI-supported workflows in regulated, high‑stakes, or quality‑critical environments, with clear attention to controls, traceability, and risk management. /ph3Legal-technical translation /h3pAblility to translate legal and business objectives into end‑to‑end solutions
- defining the workflow, data inputs, roles and controls, success measures, and operational handover. /ph3Hands-on LLM delivery /h3pPractical experience with LLMs in production or near-production settings, including prompt design and iteration, evaluation/testing methods, workflow integration, and managing limitations (hallucinations, confidentiality, bias, and reliability). /ph3Collaboration and learning /h3pAbility to quickly build legal domain understanding and work closely with lawyers to convert legal requirements into practical, usable delivery solutions. /ph3Stakeholder management /h3pComfortable operating in a multi-stakeholder environment, driving progress through clear communication, prioritisation, and a pragmatic delivery mindset. /ph3Nice-to-have /h3ulliExposure to legal tech and automation/workflow tooling; low-code platforms; scripting; APIs; and basic data handling. /liliExperience in delivering client-facing service improvements and/or building scalable, repeatable operational offerings. /liliExperience in legal services, legal operations, compliance, investigations, or similar professional services environments. /liliLegal qualification or meaningful legal experience. /li /ulh3What
we offer
/h3pA role at the centre of how legal services are being reshaped by AI
- focused on real delivery and adoption, not experimentation in isolation. /ppExposure to sophisticated matters and cross-practice projects, with direct impact on client outcomes and firm capabilities. /ppThe opportunity to build scalable assets and services that become part of our long‑term operating model. /ph3Education (if blank, degree and/or field of study not specified) /h3pDegrees/Field of Study required: /ppDegrees/Field of Study preferred: /ppCertifications (if blank, certifications not specified) /ph3Required Skills /h3pAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Admini
Job Description
Summary /h3h3Legal Engineer – AI-Enabled Legal Delivery (Senior Associate / Manager) /h3pWe are recruiting a Legal Engineer to strengthen our transformation team and help design and deliver AI-enabled legal services. This role is embedded in engagement teams and firm initiatives, working with our lawyers and stakeholders to integrate AI into legal delivery in a way that improves quality, efficiency, and consistency, while meeting the standards of a leading law firm
- confidentiality, security, professional judgment, and robust quality control. The role is suited to a Senior Associate / Manager-level profile combining structured problem-solving, hands‑on implementation and strong stakeholder collaboration. /ph3Key responsibilities /h3ulliDesign and implement AI-enabled delivery workflows for legal workstreams (e.g., contract review support, due diligence acceleration, document analysis and summarisation, clause/risk extraction, compliance and investigation triage, knowledge retrieval). /liliBuild and maintain prompting standards and reusable prompt libraries, including playbooks tailored to specific legal use cases and practices. /liliEstablish evaluation and quality frameworks for AI-assisted work (human-in-the-loop review, sampling and testing, accuracy/completeness criteria, escalation paths, traceability and documentation). /liliIdentify and prioritise AI use cases with lawyers and business stakeholders; define the “to-be” workflows or solutions, data inputs, controls, and measurable success criteria. /liliSupport the selection, configuration and adoption of AI and legal tech tools; coordinate with internal functions (IT, knowledge, PMO) and external providers where appropriate. /liliContribute to the development of new AI-enabled client offerings, from initial concept and pilot to operationalised, repeatable delivery. /liliPromote responsible AI use aligned with confidentiality, data protection, security and applicable professional obligations; help embed governance into everyday delivery. /li /ulh3Candidate profile /h3pWe welcome candidates from different backgrounds. The successful candidate will combine strong AI/technology capability with a delivery-oriented mindset and the judgment expected in a leading law firm environment. /ph3Must-have Agentic AI expertise /h3pStrong hands‑on capability in agentic AI (e.g., tool use, orchestration, multi-step workflows, guardrails) with the confidence to make sound technical design decisions (model/tool selection, architecture patterns, evaluation approach, and deployment trade-offs). /ph3AI-enabled workflow delivery /h3pProven experience designing and deploying AI-supported workflows in regulated, high‑stakes, or quality‑critical environments, with clear attention to controls, traceability, and risk management. /ph3Legal-technical translation /h3pAblility to translate legal and business objectives into end‑to‑end solutions
- defining the workflow, data inputs, roles and controls, success measures, and operational handover. /ph3Hands-on LLM delivery /h3pPractical experience with LLMs in production or near-production settings, including prompt design and iteration, evaluation/testing methods, workflow integration, and managing limitations (hallucinations, confidentiality, bias, and reliability). /ph3Collaboration and learning /h3pAbility to quickly build legal domain understanding and work closely with lawyers to convert legal requirements into practical, usable delivery solutions. /ph3Stakeholder management /h3pComfortable operating in a multi-stakeholder environment, driving progress through clear communication, prioritisation, and a pragmatic delivery mindset. /ph3Nice-to-have /h3ulliExposure to legal tech and automation/workflow tooling; low-code platforms; scripting; APIs; and basic data handling. /liliExperience in delivering client-facing service improvements and/or building scalable, repeatable operational offerings. /liliExperience in legal services, legal operations, compliance, investigations, or similar professional services environments. /liliLegal qualification or meaningful legal experience. /li /ulh3What
we offer
/h3pA role at the centre of how legal services are being reshaped by AI
- focused on real delivery and adoption, not experimentation in isolation. /ppExposure to sophisticated matters and cross-practice projects, with direct impact on client outcomes and firm capabilities. /ppThe opportunity to build scalable assets and services that become part of our long‑term operating model. /ph3Education (if blank, degree and/or field of study not specified) /h3pDegrees/Field of Study required: /ppDegrees/Field of Study preferred: /ppCertifications (if blank, certifications not specified) /ph3Required Skills /h3pAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Admini