
1 - 10 employees
Founded 2025
🤝 B2B
📋 Compliance
B2B • Compliance
Alaro is a B2B legal services firm that delivers corporate, funds, and commercial legal work, specializing in high-stakes contract review, legal due diligence, and repeatable workflows. The company pairs elite lawyers with internal AI tooling as an amplifier (not a product) to deliver precise, fast, and accountable legal support for businesses and transactions.
🕒 February 25
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1 - 10 employees
Founded 2025
🤝 B2B
📋 Compliance
B2B • Compliance
Alaro is a B2B legal services firm that delivers corporate, funds, and commercial legal work, specializing in high-stakes contract review, legal due diligence, and repeatable workflows. The company pairs elite lawyers with internal AI tooling as an amplifier (not a product) to deliver precise, fast, and accountable legal support for businesses and transactions.
• You will build the systems that make Alaro’s product meaningfully useful to lawyers: agents, extraction tools, and controllers that automate repetitive work and reliably execute delegated tasks. • At a high level: we are building a Cursor-like experience for legal documents and legal research - where an agent can search, reason over sources, and propose or apply edits while the lawyer stays in control. • This is an engineering-first applied AI role. To succeed, you’ll need to understand the full product surface (editor, retrieval, dashboard workflows), so you can spot where an agent should be given control - and ship it end-to-end. • Document editing: an agent proposes changes and generates/applies patches to DOCX documents, built for legal reality: multiple collaborators, tracked changes, strict formatting, and high expectations for correctness. • Search & retrieval: when a lawyer asks “search legislation” or “find similar contracts in our database,” the agent decomposes that into targeted queries, retrieves the right sources, and grounds outputs with citations. • Deep research workflows: solving legal problems requires iterative investigation, where agents make progress step by step while keeping their active context focused and manageable. • Training models: fine-tuning models becomes a necessity to optimize the above workflows. As internal data matures, the agent can learn from past interactions to become more intelligent.
• Ship production systems with high ownership and strong engineering judgment • Are comfortable building production AI and backend systems in Python • Have built LLM-powered systems beyond basic prompting, with informed views on grounding, tool use, failure modes, evaluation, and iteration loops • Have hands-on experience training models and running experiments • Are comfortable operating in ambiguity and translating broad goals into reliable systems • Are excited to build agents and iterate on them using real-world usage and measurement
• Meaningful ownership: Competitive salary and meaningful equity, with real responsibility and impact from day one. • Small team, real impact: You’ll work closely with founders and a small group of senior engineers, shaping core systems, culture, and how the company operates as it grows. • AI-first tooling: An unlimited budget for AI coding agents and tools. We expect you to use them heavily, and we design our systems so they can actually help. • Time together that matters: We bring the whole company together once a year for an offsite in Alaro (Mallorca), and regularly gather the team in one of our offices to align, whiteboard, and plan in person.
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