Mockingbird is a litigation intelligence platform that continuously analyzes case records to surface contradictions, timeline gaps, and citable evidence. It maps relationships between documents that keyword search misses and prepares sourced drafts automatically, so attorneys review findings rather than hunt for them. The platform runs inside a firm's security perimeter in under two weeks and works with Relativity and Everlaw exports.
Funding
Funding not disclosed
Founders
Product
Problem
Modern litigation produces more discoverable material than manual review can consistently analyzeches. Keyword search retrieves documents but misses the relationships between them—the contradictions, timeline gaps, and patterns that determine case outcomes—leaving teams with blind spots that surface at the worst moment, like deposition or trial.
Solution
Mockingbird provides proactive litigation intelligence that turns raw discovery into structured, citable analysis. The platform extracts and verifies facts, assertions, dates, entities, and relationships from documents, then builds evidence models that map witness contradictions and flag timeline gaps. Attorneys set strategy and priorities, and Mockingbird runs against them continuously—drafting sourced, cited responses when new contradictions or production shifts emerge, without requiring prompts. Every output links back to specific source documents and page numbers, ensuring full auditability. The model compounds over time, holding the case better than any single attorney as more documents are processed.
Target Audience
Primary customers are AmLaw 100 litigation groups, trial teams, eDiscovery departments, and in-house litigation counsel handling complex commercial litigation, class actions, and regulatory investigations with document volumes that exceed manual review capacity.
Features
- Automated extraction of structured, citable elements—facts, assertions, dates, entities, and relationships—each traced to source pages
- Continuous analysis engine that runs against attorney-approved strategy overnight and between hearings, proactively drafting sourced responses without user prompts
- Evidence modeling that maps witness contradictions and documentary timeline gaps across the full record
- Source-attributed outputs linking every finding to specific documents and page numbers with visible, editable audit chains
- Deployment inside a firm's security perimeter (on-premises or private cloud) with no client data stored externally or used for model training
- Real-time transcript analysis during live proceedings, mapping deposition testimony against the full case record
- Imports standard exports from Relativity and Everlaw for integration into existing matter workflows