System and Method for Generating Cross-Examination Questions Using Court Reporter Transcripts and AI-Based Legal Analysis

A computer-implemented method for generating cross-examination questions for a legal proceeding, comprising:

• receiving discovery materials;
• querying a transcript database;
• identifying prior cross-examination questions involving similar facts;
• and
• presenting the questions adapted to key facts from the discovery materials.

A system for generating cross-examination questions for a legal proceeding, the system comprising:

• a data ingestion module configured to receive legal discovery data;
• a transformation engine configured to process the legal discovery data into structured formats and extract key facts;
• a legal transcript query engine configured to generate search parameters based on the extracted key facts and to query a database of machine-readable certified court reporter (CSR) transcripts to identify transcripts with similar fact patterns or legal issues;
• a question extraction engine configured to extract cross-examination questions from the identified transcripts;
• a vertical artificial intelligence (AI) agent orchestration layer configured to coordinate interactions among the modules to generate contextually relevant cross-examination questions;
• and
• a user interface configured to present the extracted questions for attorney review and modification.

A non-transitory computer-readable medium storing instructions for:

• receiving legal discovery;
• extracting key facts;
• matching extracted facts to prior transcripts;
• retrieving relevant cross-examination questions;
• and
• outputting those questions adapted to incorporate the extracted key facts for attorney review.