Jobs at Harbor (harborglobal)

Lead CLM and contracting AI technology assessments, system selection, implementation, data migration, integrations, change management, and client-facing project delivery. Manage project schedules, budgets, staffing, testing, training, and mentor junior staff while supporting business development and practice growth.

Develops, tests, maintains, and supports complex 3E legal technology applications and client customizations. Responsibilities include software design, coding, integrations, documentation, code reviews, agile ceremonies, release management, QA support, troubleshooting client acceptance issues, Jira updates, client communication, and software installations and upgrades. The role collaborates with developers, testers, and clients across time zones while maintaining domain knowledge and delivering continual improvements.

This role involves delivering high quality legal research services and coordinating with the Research & Information Services team to support client engagements.

Lead the Financial Systems team in implementing legal technology solutions, managing client relations, mentoring junior consultants, and ensuring project efficiency with a focus on billable utilization.

The Executive Assistant & Office Lead manages office operations and provides strategic support to senior executives in a fast-paced environment. Responsibilities include overseeing office functions, supporting leadership with scheduling and travel, and enhancing workplace experiences.

Provide high-level support to multiple senior executives by managing complex calendars, domestic and international travel, meeting preparation, communications, expenses, and follow-through. Serve as a trusted, discreet partner who anticipates needs, exercises sound judgment, coordinates across global teams, supports strategic initiatives, and represents executives with internal and external stakeholders. The role requires strong organization, executive presence, confidentiality, and independent decision-making.

Own end-to-end implementation of Intapp and enterprise solutions for legal, accounting, and consulting clients. Responsibilities include requirements assessment, architecture, installation, configuration, deployment, integrations, cloud migrations, SQL reporting, upgrades, troubleshooting, technical support, client communication, and end-user training. The role leads complex projects, develops integrations using Azure Data Factory, Dell Boomi, REST APIs, and related technologies, and serves as a technical and functional resource for client teams.

Oversee accounting activities with emphasis on Accounts Payable: document and improve processes, manage AP team, reconcile accounts, perform month- and year-end close, prepare financial reports and P&L variance analysis, administer Concur, resolve escalations, and support AP integrations for acquisitions.

Manage partner operations to drive pipeline visibility and execution: maintain partner data in Salesforce, analyze overlap/whitespace with Crossbeam, support territory planning, coordinate business reviews, monitor partner health, and enable adoption of AI-enabled offerings while collaborating across Sales, Marketing, and Delivery.

Lead and deliver eDiscovery and data management engagements: assess, implement, enhance, remediate, and support eDiscovery programs; manage client relationships, project delivery, team development, and business development for legal technology solutions.

Lead legal technology engagements including requirements gathering, process review, system selection, configuration, testing, data migration, and change management. Produce deliverables (design docs, data maps, test scripts, training), manage project scope/timelines/budgets, coordinate with vendors and clients, and support business development and team growth.

The HR Business Partner will collaborate with employees and leaders to implement HR initiatives, improve engagement, manage talent processes, and provide guidance on HR matters.

Support advisory engagements for corporate law departments by collecting and analyzing data, producing presentations and reports, improving processes, and supporting cross-functional initiatives to optimize legal operations and service delivery.

Manage full-cycle recruiting for technical and consulting roles with emphasis on AI talent. Partner with leaders to build sourcing strategies, pipelines, and candidate evaluation for LLMs, prompt engineering, ML, and AI governance roles. Maintain ATS data, report metrics, document recruiting best practices, and deliver strong candidate and hiring manager experiences.

Designs and delivers instructor-led and distance learning curriculum for law firm clients, creates training materials and quick references, coaches end users, supports onboarding, and promotes continuous improvement in technology adoption.

Lead implementation of 3E/law firm finance systems as primary client contact. Manage multiple projects end-to-end: scope, schedule, budget, risks, resources, and communications. Ensure deliverables match SOW, handle change management, billing, and client escalations while collaborating with cross-functional teams.

Support the Vendor Governance and Sourcing team in managing vendor relationships, conducting analysis, delivering presentations, and developing project plans while collaborating with cross-functional teams.

The Senior Manager will lead data modernization strategies, mentor teams, and serve as a trusted advisor to legal clients, focusing on data architecture and AI readiness.

Early-career consultant delivering client-facing legal technology and integration workstreams. Communicate technical concepts, troubleshoot moderately complex issues, adopt new tools, contribute to solution design, document lessons learned, and maintain client relationships while supporting project delivery and process improvements.

Lead complex legal AI programs from strategy through adoption: advise senior legal stakeholders, orchestrate multidisciplinary teams, translate delivery signals into program decisions, create lightweight operating cadence, challenge weak assumptions, and build reusable frameworks and governance to scale AI capabilities across clients.