Product Legal Engineer

Edinburgh (in-office)

Wordsmith is building the legal operations platform for in-house teams, and we are growing fast.

We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered across inboxes, chats, documents, and disconnected systems.

Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgment matters, and every step is captured as work happens.

We are built for in-house legal, not law firms. Our goal is to help legal teams move faster, reduce unnecessary external counsel spend, and become a function the business can run with.

More than 500 companies, including Financial Times, Safelite, Trip.com, Canva, Starling, and Sage, use Wordsmith. Backed by $100M from Index Ventures, General Catalyst, Highland Europe, and others, we are building one of the defining companies in legal AI.

This is not a support or advisory role. You’ll sit inside the product team and help define how the product behaves.

You’ll take how strong legal operators think and work, and turn that into systems, workflows, and AI-driven behaviour that scale across every customer.

AI is core to how we build. You’ll be expected to use it, test it, and push it — shaping how it’s applied across real workflows.

You won’t just describe legal work. You’ll define how it gets done.

You’ll own a domain within the product, going deep on workflows, edge cases, and customer needs.

Working closely with engineers, product managers, and designers, you’ll translate legal expertise into product features, playbooks, and systems.

This role blends legal knowledge, product thinking, and hands-on building.

Build and Own

• Build, curate, and maintain legal workflows, playbooks, and product logic

• Translate legal expertise into structured, scalable systems

• Continuously improve product quality based on real-world use

Product Development

• Contribute to product specs, prototypes, and feature design

• Work closely with engineering and design to ship new capabilities

• Help define how AI is applied across workflows and use cases

Testing and Evaluation

• Design and run testing protocols to assess accuracy, reliability, and usability

• Identify gaps, edge cases, and improvement areas

• Ensure features are fit for real customer use

Customer Insight

• Work directly with customers to understand how they operate

• Identify patterns, unmet needs, and high-impact opportunities

• Feed insights back into product and roadmap decisions

Use Case Development

• Build and maintain a library of high-value use cases

• Partner with GTM to support sales conversations and product positioning

• Strong understanding of how in-house legal teams operate

• Experience in legal operations, legal tech, or legal practice

• Comfortable working across legal and technical domains

• Clear communicator, confident working with customers and stakeholders

• High ownership — you take responsibility for outcomes, not just ideas

• Curious and proactive — you look for better ways to do things

• Practical experience using AI tools (work or personal use)

• Strong point of view on where AI works, where it breaks, and where it adds value

• Willingness to experiment and apply AI directly in product development

• Legal Engineers

• Legal Operations professionals

• Lawyers or Legal Advisors with an interest in AI and product

We’re an in-office team in Edinburgh. We work together because it helps us build faster, collaborate closely, and make better product decisions. You should expect to be in the office as your default.

This is a high ownership environment. You’ll be trusted to run projects, define domains, and drive outcomes without heavy oversight.

The problems are often not fully defined. Part of the role is bringing structure and clarity to them.

The value of legal technology comes from how well it reflects real legal work.

This role ensures the product stays grounded in how legal teams actually operate — and turns that into systems that scale.

• Direct impact on product and feature development

• Ownership of a domain within the product

• Close collaboration with Product, Engineering, and GTM

• Opportunity to shape how AI is applied in legal workflows

• Competitive salary and meaningful equity