Multimodal eDiscovery for Litigation Support
For law firms and corporate legal teams handling complex litigation. Search across documents, emails, videos, and recordings in seconds. 85% reduction in document review time.
Law firms, corporate legal departments, and eDiscovery service providers managing complex litigation with millions of documents across multiple formats
Traditional eDiscovery tools only search text, missing evidence in videos, audio recordings, and images. Manual review of multimedia takes weeks and costs hundreds of thousands in attorney time
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Why Mixpeek
85% reduction in document review time, unified search across all media types, and defensible AI-assisted review with full audit trails
Overview
Modern litigation involves evidence spanning documents, emails, Slack messages, video recordings, and voicemails. This use case shows how Mixpeek enables comprehensive eDiscovery search that surfaces relevant evidence regardless of format.
Challenges This Solves
Multi-Format Evidence
Discovery materials include PDFs, emails, videos, audio recordings, and images
Impact: Traditional eDiscovery tools only index text, missing multimedia evidence
Volume Overload
Complex litigation involves millions of documents requiring review
Impact: Manual review costs $500K+ in attorney time and takes months
Semantic Gap
Keyword search misses relevant documents using different terminology
Impact: Critical evidence overlooked, increasing litigation risk
Video/Audio Evidence
Hours of recorded meetings, depositions, and voicemails to review
Impact: Multimedia evidence often goes unreviewed due to time constraints
Implementation Steps
Mixpeek processes all discovery materials including documents, emails, videos, and audio recordings, extracting text, speech, and visual content for unified semantic search across the entire corpus
Ingest Discovery Materials
Process all evidence types into searchable index
import { Mixpeek } from 'mixpeek';const client = new Mixpeek({ apiKey: process.env.MIXPEEK_API_KEY });// Process matter discoveryawait client.buckets.connect({collection_id: 'matter-2024-0892',bucket_uri: 's3://ediscovery/matter-2024-0892/',extractors: ['document-parser', // PDFs, Word, Excel'email-parser', // PST, MSG, EML'speech-to-text', // Audio/video recordings'image-ocr', // Screenshots, scanned docs'video-frame-analysis' // Visual content in videos],settings: {preserve_metadata: true, // Retain original metadatagenerate_hash: true, // Deduplicationprivilege_markers: ['PRIVILEGED', 'ATTORNEY-CLIENT']}});
Run Privilege Review
Identify potentially privileged content for attorney review
// Find potentially privileged contentconst privileged = await client.retrieve({collection_id: 'matter-2024-0892',query: {type: 'text',text: 'legal advice attorney consultation litigation strategy'},filters: {content_type: { $in: ['email', 'document'] }},return_fields: ['content', 'participants', 'date', 'source_file'],limit: 1000});// Route for attorney privilege reviewconst forReview = privileged.filter(doc => doc.privilege_score > 0.7);
Search Across All Evidence
Enable semantic search for case-relevant content
// Search for evidence related to specific issuesasync function searchMatter(matterId: string, issue: string) {const results = await client.retrieve({collection_id: `matter-${matterId}`,query: {type: 'text',text: issue // e.g., "discussions about pricing changes Q3 2023"},return_fields: ['content', 'source_file', 'date','participants', 'timestamp', 'relevance_score'],limit: 500});return {documents: results.filter(r => r.type === 'document'),emails: results.filter(r => r.type === 'email'),recordings: results.filter(r => r.type === 'audio' || r.type === 'video'),total_hits: results.length};}
Generate Review Reports
Create defensible documentation of AI-assisted review
// Generate audit trail for defensibilityconst auditReport = {matter_id: matterId,search_methodology: 'Semantic similarity + keyword boolean',total_documents: corpus.total,documents_reviewed: corpus.reviewed,ai_assisted_review: {model: 'mixpeek-legal-v2',confidence_threshold: 0.85,human_review_rate: 0.15 // 15% sampled for QC},privilege_log_generated: true,date_certified: new Date().toISOString()};await generateDefensibilityReport(auditReport);
Feature Extractors Used
Retriever Stages Used
Expected Outcomes
85% reduction in document review time
Review Time Reduction
$300K+ saved per complex litigation matter
Cost Savings
98% relevant document recall vs 75% with keyword search
Recall Rate
100% of audio/video evidence searchable vs 0% previously
Multimedia Processing
From days to minutes for initial relevant document identification
Time to First Evidence
Frequently Asked Questions
Related Resources
Related Comparisons
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