At our core is agentic document review for litigation and eDiscovery. Jess brings additional legal workflows with contract review, M&A due diligence, and matter management.
The core engine is an agentic review workflow: multiple AI agents that collect, process, classify, summarize, and produce documents. Your team handles the judgment calls.
Document review has always forced legal teams to give something up: cost, scale, or a defensible reason. Sending the review out is defensible but unbudgetable, billed by the hour or by the GB. Reviewing manually is predictable but does not scale. TAR and generic eDiscovery are fast but cannot explain themselves, because a probability score ranks documents by likelihood with no reasoning. Agentic review gives up none of them.
Contextual analysis: agents read and reason, they don't just rank. A written rationale for every call, cited to the exact source text. Scales to multi-terabyte collections with no loss of quality. Your team validates and signs off. Defensible by construction.
The launch module is agentic document review for litigation: everything you need to take a matter from collection to production, without handing it to a per-GB vendor. Privilege, confidentiality, and responsiveness. First pass by agents.
The most expensive, slowest phase of a matter is first-level review, and it's the phase most often handed to a per-GB vendor. Run it on Discovery AI and a representative matter comes in at roughly half the cost, on your timeline, with a defensible record your team owns. In-house, that's budget back. At a firm, it's margin on fixed-fee and AFA work instead of realization risk.
Representative results: 20x faster, 99% recall, roughly 50% cost saving per matter.