Senior legal technology consultant

Purpose

Quis Lex is seeking a senior Legal Technology leader to architect and deliver AI-enabled, integrated legal operating models for global clients. This role combines deep hands-on implementation experience with solution architecture leadership and client advisory capability.

The AVP - Legal Technology will design and implement AI-native workflows, CLM ecosystems, Gen AI applications, Legal Front Door solutions, knowledge systems, and low-code automation solutions. The ideal candidate is equally comfortable building systems, leading solution workshops, and partnering with data and IT teams to enable AI-ready legal environments, including legal workflows powered by enterprise LLMs.

Major Accountabilities

1. AI & Copilot-Based Workflow Engineering

Design and build Copilot-enabled workflows across Microsoft 365 and enterprise environments Develop practical use cases leveraging Microsoft Copilot, Gen AI applications, and automation frameworks Embed AI into contract lifecycle, knowledge retrieval, matter intake, compliance tracking, and advisory workflows Translate legal process maps into AI-native execution models Design Legal Front Door experiences for triage, intake, self-service, and guided support across legal requests Build legal workflows using enterprise LLMs with appropriate orchestration, retrieval, controls, and governance.

2. CLM & Enterprise Legal Systems Implementation

Lead end-to-end implementation of Contract Lifecycle Management (CLM) platforms Configure workflows, clause libraries, templates, playbooks, approval matrices, and reporting frameworks Drive integrations between CLM, CRM, ERP, DMS, procurement, and ticketing systems Optimize system adoption, governance, and scalability

3. Low-Code / No-Code Legal Workflow Automation

Build scalable legal workflows on platforms such as: Microsoft Power Platform (Power Apps, Power Automate); Co Pilot Studio; Appian; Jira / JSM; and other enterprise workflow tools Develop intake portals, matter management systems, self-service contracting tools, and compliance trackers Automate review routing, risk scoring, obligation tracking, and approval workflows Design and deploy Legal Front Door portals and enterprise LLM-enabled workflow solutions for intake, triage, knowledge access, and request fulfillment

4. Document & Knowledge Management Architecture

Design and implement document management systems and knowledge repositories Define taxonomy, metadata structures, and governance models Enable AI-powered search and retrieval capabilities Ensure systems are secure, scalable, and optimized for reuse

5. Legal Data Architecture & Analytics (Collaborative Leadership)

Develop strong conceptual understanding of legal data models and information architecture Define operational KPIs and performance dashboards aligned with legal and business objectives Partner closely with data scientists and BI teams to: Structure legal datasets for AI-readiness Enable executive reporting and insights Translate operational questions into measurable metrics Ensure legal systems are implemented with clean metadata, taxonomy, and governance principles Support analytics use cases such as cycle time analysis, risk concentration tracking, workload forecasting, and SLA performance

6. Client Engagement & Solution Leadership

Lead discovery workshops and operating model assessments with in-house legal teams Design integrated, multi-system legal transformation roadmaps Work cross-functionally with IT, procurement, finance, compliance, and operations stakeholders Serve as a trusted advisor to senior legal and business leadership Translate complex technical concepts into clear business value narratives

Key Performance Indicators

Timely and effective implementation of initiatives and milestones. Adherence to organizational targets for budget, headcount, and cost reporting. Effectiveness of strategic communications. Performance as per criteria set for business reviews. Achievement of agreed targets for self and team. Execution of development plans for direct reports. Values and behaviors aligned with Quis Lex leadership standards.

Ideal Background

15-20 years of total professional experience Minimum 8-10 years of hands-on implementation, solution design, and system build experience in legal technology Proven track record implementing CLM platforms and enterprise legal systems Experience implementing other legal systems such as legal spend management, data privacy, compliance, and litigation platforms in enterprise environments. Demonstrated experience building workflow automation and Gen AI-enabled solutions Experience working with Copilot-based solutions or similar AI-assisted enterprise environments Experience designing Legal Front Door solutions and building legal workflows using enterprise LLMs in secure enterprise environments Strong working knowledge of low-code platforms (Jira/JSM, Appian, Microsoft Power Platform, etc.) Strong understanding of legal operations metrics and legal data structuring principles Experience partnering with data scientists or analytics teams to enable reporting and AI use cases Experience integrating legal systems with enterprise tools (CRM, ERP, HRIS, DMS, other legal systems) Experience working with senior executives and influencing stakeholders. Excellent written and oral communication skills. Proven ability to build and lead complex functions, execute projects, and drive technology-enabled legal solutions. Experience in legal technology selection, implementation, strategy, process optimization, and digital transformation. Success in leading within a matrix environment and coaching teams.

Strong leadership and management skills with a track record of developing high-performing teams.