Trellis

Trellis is a state trial court research and litigation analytics platform used by law firms and corporate legal departments to research judges, opposing counsel, and case outcomes.

Key Features & Functions:

Judge Analytics
Provides data-driven insight into how individual judges have historically ruled on specific types of motions, intended to help litigators anticipate outcomes and calibrate case strategy.

Smart Search
An AI-assisted search function across the platform's state trial court dataset, covering dockets, filings, and case documents.

Opposing Counsel and Party Research
Allows users to review the litigation history of specific attorneys, firms, or parties across matters, including prior motions and case outcomes.

AI Agent Connectors (Claude, ChatGPT, Trellis Chat)
Trellis has released connectors that allow the platform's litigation data to be queried through Claude and ChatGPT using the Model Context Protocol (MCP), in addition to a native chat interface within Trellis itself. These allow users to pose research goals in natural language and receive sourced, cited outputs drawn from the underlying court dataset rather than a general-purpose model response.

Alerts
Notifies users of case, party, or judge-related developments as new filings or rulings occur.