Ivo Inc.

Ivo Inc. builds AI-powered legal technology - specifically a contract review platform that plugs into Microsoft Word to flag risks, suggest redlines, and compress negotiation cycles. The threat model here isn't perimeter breaches but exposure buried in clauses: missed indemnities, non-standard liability caps, data-handling obligations that deviate from playbooks. The system uses generative AI and large language models to perform automatic deviation analysis and legal fact extraction at speed, claiming contracts get reviewed 75% faster. Under the hood, the platform leans on agentic RAG architectures - retrieval-augmented generation that doesn't just surface relevant contract language but reasons over it. That means the security and integrity of the underlying models, training pipelines, and client data flows are non-trivial. Any team shipping LLM-based tools into enterprise legal workflows is inheriting a surface area that spans prompt injection, data leakage, and model poisoning; the engineering challenge is making the output trustworthy enough that lawyers actually rely on it. The company closed a $55M Series B and reports 6x ARR growth over the last year, with an 85% head-to-head trial win rate against competitors. The culture signals lean toward high-velocity shipping - engineers are described as inventors who deploy to production daily, working across design, law, and engineering. For security practitioners, the interesting question is how a team operating at that pace manages the integrity of ML pipelines, protects sensitive contract data, and hardens an agentic system that autonomously interacts with legal documents.