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Legora

Collaborative AI workspace for legal workflows

Senior or Staff Detection & Response Engineer

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 5 years of experience in detection engineering, incident response, or security operations, including experience as a senior escalation point; Staff candidates are expected to have roughly 10 or more years and experience setting detection and response strategy.
  • Strong software engineering skills in Python and SQL, with the ability to build detections, automations, and telemetry pipelines that run reliably in production.
  • Use large language models and agents in day-to-day security work, understand which decisions require human judgment, and be prepared to demonstrate an automated investigation or workflow.
  • Fluency across endpoint, identity, cloud, and software-as-a-service telemetry, with the ability to reason from attacker behavior and correlate signals across systems.
  • Ability to communicate clearly during incidents and turn incomplete technical evidence into sound decisions, with post-incident reviews leading to concrete changes.

Responsibilities

  • Own detection and response across endpoints, identity, cloud workloads, software-as-a-service, and the company's AI systems; hunt, triage, investigate, contain, and drive incidents through resolution, then improve detections and controls based on findings.
  • Build detections as production software using telemetry and pipelines provided by AI and Integrations Engineering. Keep detections version-controlled, peer-reviewed, tested, and deployed through continuous integration and continuous delivery; measure coverage, precision, and time to detection, and tune gaps based on data.
  • Build threat models, telemetry, and response playbooks for AI systems, agents, and their tool use; detect misuse of agents operating across the company.
  • Build and supervise agents for triage, enrichment, and investigation, and set guardrails and approval thresholds for containment and other high-impact actions.
  • Map coverage to MITRE ATT&CK and validate it through threat hunting, penetration-test findings, and adversary emulation.
  • Share the on-call rotation and act as incident commander when security is involved. Run post-incident reviews and use findings to reduce detection and containment time; Engineering owns service reliability, while Customer Trust and Legal own customer communications.
  • Investigate insider risk and identity abuse with Corporate Security, People, and Legal; work with Vulnerability Management on exposure priorities and IT Systems on the underlying estate.
  • Track actors and campaigns targeting AI companies and convert intelligence into hunts and detections; own the digital-risk platform and coordinate urgent phishing and impersonation takedowns.

Desired Qualifications

  • Experience with a modern security information and event management system or security data lake and at least two relevant query or rule languages, such as SPL, KQL, YARA-L, Sigma, or SQL.
  • Experience securing AI systems, agent tool use, and AI data flows, including prompt-injection and exfiltration risks.
  • Experience with response automation, incident management, digital forensics, or malware analysis.
  • Experience in threat intelligence, insider risk, or data loss prevention.

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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