Overview
Trellis is a state court research and judicial analytics platform that utilizes advanced Natural Language Processing (NLP) and Machine Learning to structure millions of legal documents into actionable insights. By 2026, the platform has evolved from a simple docket search engine into a sophisticated predictive modeling tool that maps judicial behavior across thousands of jurisdictions. Its technical architecture leverages Large Language Models (LLMs) to extract ruling outcomes from unstructured PDF filings, allowing legal teams to visualize a judge’s grant/deny rates for specific motion types. The system provides a competitive edge by identifying 'judicial tendencies'—statistically significant patterns in how a judge rules on certain legal issues or procedural hurdles. Positioned at the intersection of Big Data and Legal Strategy, Trellis serves as a critical infrastructure layer for Am Law 200 firms and boutique practices alike, offering a searchable database of state court records that were previously siloed or inaccessible. The platform’s 2026 roadmap includes real-time outcome simulation and automated drafting of motion arguments based on a judge’s previous language preferences.