Litera
The unified legal document lifecycle and transaction management ecosystem for the modern law firm.
Data-driven judicial intelligence for motion success and litigation strategy.
Gavelytics, now integrated into the UniCourt ecosystem following its 2022 acquisition, represents a cornerstone in the evolution of judicial analytics. Historically recognized as the first platform to provide deep, motion-level insights into trial court judge behavior, its 2026 market position is defined by its role as a high-fidelity data layer within broader legal enterprise platforms. The technical architecture utilizes Natural Language Processing (NLP) to parse millions of court dockets and minutes, transforming unstructured legal prose into structured success metrics for specific motion types. By 2026, the tool has transitioned from a standalone dashboard to a deeply integrated API-first solution, allowing law firms to predict judicial behavior with granular accuracy across State and Superior courts. It solves the information asymmetry in litigation by providing empirical data on how often specific judges grant motions for summary judgment, discovery, or forum non conveniens, effectively moving legal strategy from anecdotal 'gut feelings' to data-validated decision-making. Its position is solidified by its massive proprietary database of historical rulings which remains difficult for new market entrants to replicate without significant temporal and technical investment.
Uses machine learning to categorize judge rulings on specific motion types into 'Granted', 'Denied', or 'Partial' with a 90%+ accuracy rate.
The unified legal document lifecycle and transaction management ecosystem for the modern law firm.
The AI-powered litigation lifecycle platform for smarter case strategy and automated chronologies.
The infinite workspace for deep document analysis and multi-source synthesis.
Enterprise-grade eDiscovery and AI-driven document intelligence for boutique and mid-market law firms.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Analyzes ruling prose to detect tendencies toward specific legal philosophies or leanings in discovery disputes.
Statistical modeling of the time-to-disposition and time-to-ruling across different case types.
Cross-references judge data with law firm performance to identify if a specific firm has a statistical advantage before a certain judge.
Aggregates county-level data to compare outcomes across different venues for 'Forum Shopping' strategies.
Summarizes long-form judicial opinions into key takeaways regarding motion standards.
Automatically flags potential judicial conflicts based on historical case connections.
Uncertainty regarding a judge's historical threshold for granting MSJs.
Registry Updated:2/7/2026
Choosing between filing in Los Angeles or Orange County.
Convincing a client or opposing counsel to settle based on likely court outcomes.