Mixpeek Logo
    Advanced
    Legal & Compliance
    12 min read

    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.

    Who It's For

    Law firms, corporate legal departments, and eDiscovery service providers managing complex litigation with millions of documents across multiple formats

    Problem Solved

    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

    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

    1

    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 discovery
    await 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 metadata
    generate_hash: true, // Deduplication
    privilege_markers: ['PRIVILEGED', 'ATTORNEY-CLIENT']
    }
    });
    2

    Run Privilege Review

    Identify potentially privileged content for attorney review

    // Find potentially privileged content
    const 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 review
    const forReview = privileged.filter(
    doc => doc.privilege_score > 0.7
    );
    3

    Search Across All Evidence

    Enable semantic search for case-relevant content

    // Search for evidence related to specific issues
    async 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
    };
    }
    4

    Generate Review Reports

    Create defensible documentation of AI-assisted review

    // Generate audit trail for defensibility
    const 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);

    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

    Ready to Implement This Use Case?

    Our team can help you get started with Multimodal eDiscovery for Litigation Support in your organization.