Senior Business Systems Analyst, Legal Technology

- Lead AI solution design and delivery: build, configure, and deploy AI agents and agentic workflows using tools like Claude, Cowork, ChatGPT, and Glean within and across legal applications. This is real implementation work, not exploration.

- Own the legal tech ecosystem as part of our team: serve as one of the technical SMEs across Legal SaaS applications (CLMs, Matter Management, DSAR tooling and more), driving reliability, optimization, and integration quality.

- Build integrations: design and develop workflow automations and integrations using Workato and similar iPaaS platforms, connecting legal systems to the broader HubSpot stack.

- Translate business needs into technical solutions: partner directly with attorneys and legal leadership to understand workflows, surface opportunities, and deliver solutions with measurable impact.

- Drive AI adoption: work alongside the legal team to identify opportunities to embed AI tools (Claude, Glean, Harvey, Workato AI, and others) into day-to-day legal workflows, and support enablement so adoption actually sticks.

- Shape the roadmap: contribute to a technically feasible product roadmap, balancing strategic priorities with iterative delivery.

- Track and communicate value: develop KPIs and reporting to demonstrate the business impact of technology investments to senior legal leadership, including the CLO.

- Stay ahead of the curve: monitor the rapidly evolving legal tech landscape and bring forward-looking perspective on tools, capabilities, and trends.

- Strong hands-on technical skills: SaaS application configuration, API usage, system integration design, and workflow automation

- Real experience building and deploying AI solutions in enterprise environments: AI agents, agentic workflows, LLM-powered tools, or similar

- Experience with iPaaS platforms for building integrations and automations

- Demonstrated ability to operate as a technical consultant to a non-technical business audience: learn and understand business context, problem solve, and translate ambiguous needs into scoped, deliverable solutions

- Self-directed, highly organized, and able to manage multiple workstreams with autonomy

- Clear communicator, equally comfortable in a Slack thread with a lawyer and a design doc with an engineer

- Experience working in or with legal departments: in-house legal teams, law firms, or legal tech vendors

- Familiarity with legal technology applications: CLM systems, matter management, or legal service management platforms

- Experience with enterprise AI tools in a professional context (Claude, Glean, ChatGPT Enterprise, or similar)