Purpose-Built AI Tools That Genuinely Help Litigators

Fifteen million pages of litigation documents are not a “busy season” problem. It is a systems problem. We sit down with Tiago Luccini, CTO and co-founder of Theo AI (https://theoai.ai/), and Sarah Johansson, Head of Legal Product, to unpack what it takes to make AI genuinely useful for litigators and in-house legal teams without turning every task into a prompt-writing contest.

We walk through Theo AI’s two product lines: a claims and litigation management platform for corporations that helps with document intake, analysis, and at a glance reporting for legal leaders, plus a focused solution for MDL and mass tort matters where scale and repetition can overwhelm even the best teams. Along the way we talk about why niche legal tech can outperform general purpose chat tools, how “AI for the service of the human” changes product design, and why verification against source documents is non-negotiable when lawyers stay accountable for the work product.

Then we go deep on agentic AI. We define what agents are, why swarms and configurations can create AI fatigue, and how Theo AI tries to hide that complexity while still delivering automation that triggers off real workflow events. Finally, we tackle AI security and privacy: read-only preferences, blocked internet access, auditability, and even a kill switch for single-tenant deployments. If you are weighing buy versus build for legal AI, we also cover the ongoing cost of maintenance, testing, and keeping guardrails current.

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