Cleros AI

Litigation teams spend weeks building the strategy documents that Cleros AI generates in minutes. The core workflow is four steps: create a matter workspace with jurisdiction and trial date tracking, drag in case files, trigger AI analysis that extracts timelines and legal precedents, then run a simulated jury panel against your arguments. The output is a professional PDF containing voir dire questions, opening lines, and a trial battle plan grounded in the documents you uploaded — not generic templates.

The jury simulation is the differentiating capability the vendor foregrounds. Rather than asking attorneys to guess how a jury will react, the tool runs a 12-person simulated panel with demographic profiling, letting trial teams stress-test arguments before they reach the courtroom. Testimonials on the vendor page reference discovering strategic weaknesses that the human team had missed — the kind of gap that surfaces when an AI model reads ten depositions against each other simultaneously.

Cleros AI fits litigation teams preparing for a specific trial who want AI-generated strategy documents without building or maintaining their own legal AI stack. SOC 2 Type II certification and multi-tenant data isolation address the baseline compliance questions most firms ask first. Where it breaks: the credit-per-analysis pricing model creates friction for firms running many concurrent matters, and there is no self-hosted deployment path, which disqualifies it for firms with strict data residency or on-premises requirements. Teams at that scale tend to evaluate purpose-built legal AI infrastructure they can run internally.

An API is available, which means firms with existing matter management systems can pipe case data into Cleros AI rather than uploading manually. Team workspaces are included at higher credit tiers, allowing shared access across a trial team rather than single-attorney silos. The platform is in private beta with the vendor reporting more than 50 litigation practices onboarded.