Senior Software Engineer

Company: Legl

Location: London, United Kingdom (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-06-11

About this role

## Hi 👋 We’re Legl.

Legl is building the operating system for modern legal services.

We help law firms and regulated businesses replace manual, fragmented workflows with intelligent software from client onboarding and compliance to payments, risk, and reporting.

Legal work is high-stakes. It’s regulated, complex, and deeply human. The software supporting it has historically been slow, manual and brittle. We believe it doesn’t have to be that way.

We’re backed by leading European VCs (Series B), scaling quickly, partnered with over 500 law firms including 40 of the UK’s top 200, launched in the UK and Australia - and entering our next phase of growth.

## How We Work

We are builders. At Legl, the lines between Engineering, Product, and Design are intentionally blurred.

Senior engineers don’t just “implement tickets” - they shape problems, challenge assumptions, talk to customers, make trade-offs, and stay accountable for outcomes over time. Your job isn’t to ship features; it’s to deliver meaningful product and business value quickly.

We work best when:

  • Ownership is individual, collaboration is intentional.
  • Decisions are shaped early using customer context and evidence
  • Feedback is fast and continuous
  • Process supports momentum, not the other way around
  • You’ll collaborate closely with Product and Design, but you’ll also be expected to independently drive work forward from vague problem statements to shipped solutions to measurable impact.

## AI Is Not a Side Project Here

At Legl, AI is a core part of the engineering toolkit, not an experiment or a productivity hack.

We use AI deliberately to:

  • Enable engineers and non-engineers to move faster safely
  • Push beyond traditional stack boundaries
  • Increase leverage and reduce repeated manual work
  • Improve decision quality

Strong judgement matters. We care about correctness, safety, and customer trust just as much as speed. Using AI well means knowing when to use it, how to validate out...

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