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Legora

Collaborative AI workspace for legal workflows

Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Several years of engineering experience in a security specialisation, demonstrated through vulnerabilities found, incidents managed, systems hardened, or tooling built.
  • Ability to write production-quality code; the primary languages are TypeScript/Node.js and Python.
  • Ability to work across application security, detection and response, and cloud/platform security, with deep expertise in at least one area.
  • Understanding of identity, authorisation, multi-tenancy, and common security-boundary failures.
  • Ability to communicate security risks in engineering terms and influence teams without relying on mandates.
  • Ability to remain calm and structured during incidents and be candid afterwards.

Responsibilities

  • Own security work end to end, including architecture, tooling, roadmap, and outcomes.
  • Embed with engineering teams to make secure design, development, and operations the default.
  • Build and ship guardrails, detections, libraries, automation, and workflows through reviewed, tested, and deployed code in git and CI/CD.
  • Raise security standards across engineering through design reviews, threat modelling, tooling, and enablement.
  • Address underlying bug classes by converting findings into patterns, defaults, or detections.
  • Secure a multi-tenant AI platform, including identity, authorisation, tenant isolation, data handling, and model-facing attack surfaces.
  • Build with large language models and agents, and secure code and workflows produced at agent speed.
  • Respond to incidents and write post-mortems that lead to technical and organisational improvements.
  • For Application Security: threat model features and architectures; review high-risk changes involving authentication, authorisation, tenant isolation, and data handling; and secure AI and agentic features against prompt injection, tool-use abuse, data exfiltration, and related attack paths.
  • For Detection Engineering & Response: own detection-as-code, security data pipelines, abuse and account-compromise detection, and incident response across corporate and product surfaces; build agents for first-pass triage and investigation, with guardrails and evaluations that make outputs trustworthy.
  • For Cloud & Platform Security: harden identity, access, cloud control planes, CI/CD, software supply chain, infrastructure-as-code, AKS baselines, tenant-isolation primitives, and least-privilege access for engineers, workloads, and AI agents.

Desired Qualifications

  • Experience securing products based on large language models or agents.
  • Experience building a security function at a high-growth software-as-a-service company.
  • Familiarity with multi-tenant software-as-a-service isolation models.
  • Experience in environments with strict confidentiality, data residency, or professional secrecy requirements.
  • Supply-chain security expertise, such as SLSA, artifact signing, or software bills of materials.

About the Company

Legora

Collaborative AI workspace for legal workflows

Legora builds an AI-powered, collaborative workspace for legal teams. Its platform helps law firms and corporate legal departments conduct research, review, drafting, and end-to-end legal workflows, all within a workspace that includes firm-specific and jurisdiction-specific context. The product works by providing an agentic AI assistant that can handle tasks across the legal process—research, drafting, reviewing, and workflow orchestration—tailored to each firm’s rules and the relevant laws of different jurisdictions. Legora differentiates itself from competitors by serving a very large existing customer base (tens of thousands of lawyers across 1,000+ organizations in 50+ markets), focusing specifically on legal work, and backing its platform with significant capital and big-name investors to scale its US expansion and its agentic workflows. The company’s goal is to broaden adoption of its AI-powered legal workspace globally and to enable efficient, context-aware legal work at scale.

Company size
501-1,000
Company stage
Series E
Total funding
$1.4B
Headquarters
Stockholms kommun, Sweden
Founded
2023

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