Building AI Agency
in High-Stakes Domains

I bridge the gap between research and production. Currently deploying autonomous agents in legal tech and mental healthcare.

Martin Lukac, PhD

I am an AI practitioner-researcher based between London and Berlin. My work focuses on reliability and safety in agentic systems.

Previously at Gradient Labs and QuantCo. I combine engineering rigor with a background in computational social science to build systems that work in the real world, not just benchmarks.

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Flank

In production

Agentic legal workflows for law firms and in-house teams

  • Lead AI strategy and product roadmap for autonomous legal agents
  • Redesigned document review and objection handling, achieving 96% accuracy in identifying objections and flagging provisions requiring human judgment
  • Built fully autonomous agent handling multi-step protocols, direct counterparty communication, obstacle navigation (e.g., OOO replies), and boundary enforcement
  • Design evaluation systems for accuracy, auditability, and alignment with professional standards
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Sentra

Pilot

AI mental health companion for veterans and first responders

  • Co-founded and built first prototype for AI-powered mental health companion in crisis-adjacent populations
  • Pilot results: 82% of participants rated responses as highly relevant; 64% reported immediate stress relief; zero cases of increased anxiety
  • Implemented suicide intent detection with immediate human handoff protocol
  • Developed fully personalized conversational system with user-based knowledge graph guided by latest PTSD research
  • Partner with Wounded Warrior Project and UK Ministry of Defence
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PsySafe

Open source

Open toolkit for mental health crisis response in chatbots

  • Risk detection patterns and escalation protocols for mental health crises
  • Policy templates for harm reduction and refusal behaviors
  • Ethics-based initiative exploring LLM-based detectors for mental health risk and ethical response pathways
  • Used by practitioners building crisis-sensitive AI systems
Martin Lukac

Working on AI deployments in high-stakes domains?

Let's talk about evaluation, guardrails, or ethical deployment practices.