Role / Position Title: Senior Legal Technology Consultant

Function/Department: QuisLex Advisory

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, GenAI 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); CoPilot 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:

1. Structure legal datasets for AI-readiness.

2. Enable executive reporting and insights.

3. 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 QuisLex 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 GenAI-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.