Search and analyze evidence
Everlaw provides a secure, standardized Model Context Protocol (MCP) server that allows OpenAI to connect to Everlaw and work with live matter data on behalf of an authenticated user. Through the connector, a connected agent can understand a user’s Everlaw project structure, translate natural-language requests into Everlaw search logic, retrieve responsive documents and document text, and analyze metadata and Bates driven result sets. The connected agent can also support natural-language reporting and analysis workflows, while Everlaw remains the governed evidence layer and system of record for case materials, metadata, and work product. Access to Deep Dive via this connector complements search and retrieval tools, as well as Everlaw’s native Deep Dive experience. It is intended to support broader, semantic, evidence-backed questions while preserving Everlaw’s permissions and the integrity of the underlying matter record. The connector is designed to operate within the user’s existing Everlaw permission level. Every request is authenticated and authorized against the user’s Everlaw permissions, so the agent can access only the projects, documents, and data that user is already permitted to view. Deep Dive will also be available through the connector, allowing a user to query Deep Dive over eligible Everlaw project data and retrieve evidence-backed results without changing the underlying matter record. Using the connector, an agent can: Use Deep Dive to ask broader investigative questions and return evidence-backed results, once the Deep Dive tools are available. Convert a natural-language request into a structured Everlaw search. Generate structured reports about project contents, document volumes, custodians, dates, Bates ranges, and other returned data. Search by document text, metadata, Bates or Control number, binder, coding, redactions, productions, processing criteria, and other supported terms. Identify the metadata fields, datasets, and processed uploads available in a project. Retrieve matching documents with Bates numbers, metadata, review links, document-text links, and extracted values. Summarize and analyze retrieved documents or result sets in natural language.
Kur lidhet me Everlaw, ChatGPT mund të ndajë biseda dhe memorie përkatëse me këtë aplikacion për të ofruar kontekst për kërkesat e tua. Përdorimi i këtyre të dhënave nga Everlaw u nënshtrohet kushteve dhe politikës së privatësisë së tij. Nëse ke të aktivizuar Memorien, të dhënat nga aplikacioni mund të përdoren për të ofruar në mënyrë proaktive informacione ose sugjerime të dobishme. ChatGPT respekton gjithmonë preferencat e tua për trajnimin me të dhëna, përfshirë të dhënat nga aplikacionet e lidhura. Përdorimi i aplikacioneve mund të sjellë rrezik të shtuar. Mund t’i menaxhosh preferencat ose të shkëputesh nga aplikacionet në çdo kohë te cilësimet e tua. Mëso më shumë