Wexler is an AI-powered fact intelligence platform built for litigation and disputes teams at law firms, corporate legal departments, and eDiscovery providers. The platform applies large language models to extract, verify, and organize facts from complex, high-volume document sets, enabling legal teams to establish an accurate factual record and identify inconsistencies across the evidentiary record.
Key features and functions include:
Fact Extraction and Organization Wexler processes a wide range of document types—including emails, transcripts, spreadsheets, and reports—to capture every material event, date, and assertion, tracing each fact back to its source document.
Contradiction and Gap Detection The platform automatically surfaces conflicts and inconsistencies across the document record, identifying where accounts align, where they diverge, and where the evidence does not support a stated position.
Automated Chronology Building Wexler generates a complete, chronological map of facts and their significance to a given dispute, enabling teams to understand the sequence of events across a matter quickly.
Real-Time Fact-Checking During depositions or hearings, Wexler can flag in real time when a speaker's statements contradict the uploaded case documents, providing source-linked alerts to the legal team.
Kim: Agentic AI Assistant Wexler includes Kim, an AI assistant capable of answering complex questions grounded in the case documents, executing multi-step tasks, and producing polished correspondence, memos, or reports in a single workflow.
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