Amicus
Amicus provides AI-generated deposition summaries, case timelines, and document analysis tools designed to streamline legal document review and research.
Amicus Services
Amicus specializes in AI-generated deposition summaries that prioritize thoroughness and conciseness, featuring exact page-line citations of facts to documents. Additionally, Amicus provides autogenerated case timelines designed to dramatically reduce document review times from months to minutes. The company’s offerings also include an AI engine that automatically tags and splits documents by type while identifying key individuals involved. Amicus enables users to interrogate documents using natural language queries, delivering exact citations for search results. Furthermore, Amicus generates AI-driven summaries for every document processed.
AI-Generated Deposition Summaries
Amicus provides AI-generated deposition summaries that emphasize thoroughness and precision with exact page-line citations of facts to relevant documents. These summaries aim to present critical information clearly and concisely, facilitating better understanding and faster review by legal professionals.
Autogenerated Case Timelines
Amicus offers autogenerated case timelines designed to cut document review times significantly from months to minutes. These timelines help legal professionals quickly grasp the sequence of events, aiding in efficient case analysis and strategy formulation.
Document Tagging and Splitting
Amicus features an AI engine that automatically tags and splits documents by type, creating organized and easily navigable document sets. The system also identifies key individuals mentioned within the documents, thus providing context and aiding in the discovery process.
Natural Language Document Interrogation
Amicus allows users to interrogate documents using natural language queries, facilitating intuitive search and discovery. The system returns exact citations for search results, ensuring that users can quickly locate and reference specific information within large sets of documents.