Mockingbird
Mockingbird provides proactive litigation intelligence that transforms raw discovery into structured, citable analysis. The platform continuously monitors the record against attorney-set strategy, automatically drafting sourced responses and flagging contradictions or timeline gaps without requiring prompts. Every output links back to specific source documents and page numbers, ensuring full auditability for high-stakes litigation.
- Legal Technology
- Artificial Intelligence
- Data & Analytics
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Modern litigation produces more discoverable material than manual review can consistently analyze. 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. The platform is deployed inside a firm's security perimeter and is currently used in production for active, high-stakes litigation across multiple forums.
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. The platform also serves individual litigants and smaller practices through its Personal and Case plans.
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
- Scout, an AI matter assistant included in every plan, that researches the record, drafts from instructions, and discusses drafts in the same conversation
- Tiered plans from Personal ($39/month) to Enterprise (custom pricing) with bring-your-own-API-key options for Case and team plans