Litera
The unified legal document lifecycle and transaction management ecosystem for the modern law firm.
Transform legal strategy with high-velocity language analytics and judicial intelligence.
LexisNexis Context is an industry-leading legal analytics platform that utilizes advanced Natural Language Processing (NLP) and machine learning, built upon the Ravel Law acquisition, to deconstruct judicial behavior and expert witness performance. By 2026, the tool has matured into a predictive powerhouse, moving beyond descriptive analytics to prescriptive strategy. It parses over 1.2 billion documents, including court transcripts, dockets, and rulings, to identify specific language patterns that resonate with individual judges. Its technical architecture focuses on entity resolution and semantic search, allowing litigators to pinpoint the exact arguments, citations, and experts that have historically influenced a court's decision. This level of granularity enables legal teams to draft motions with statistically higher probabilities of success. Market-positioned as an enterprise-grade solution for Tier 1 and Tier 2 law firms, LexisNexis Context serves as a critical bridge between traditional legal research and data-driven litigation management, ensuring that every strategic move is backed by historical empirical evidence.
Uses machine learning to analyze the specific phrasing and terminology judges use in their opinions to identify linguistic preferences.
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.
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Aggregates Daubert and Frye challenges across all jurisdictions to show an expert's track record of admissibility.
Statistical modeling of motion outcomes based on judge, court, and case type variables.
A proprietary algorithm that disambiguates names of experts, judges, and companies across millions of records.
Visualizes the 'precedent path' a judge typically follows, showing which cases they rely on most frequently.
Deep-dives into 100+ motion types to show how often a specific judge grants, denies, or partially grants specific requests.
Profiles opposing counsel's history in front of specific judges or in specific practice areas.
Ensuring an expert witness hasn't given contradictory testimony in prior cases.
Registry Updated:2/7/2026
Determining the optimal tone and cited authorities to win over a specific judge.
Identifying if the opposing firm usually settles or goes to trial in specific venues.