Upload documents. Victoria analyzes them, extracts key information, and makes everything searchable with AI-powered semantic search.
Upload a PDF. Victoria extracts text, analyzes content, identifies key dates, parties, and financial information—then stores everything in a searchable vector database.
Automatic Text Extraction
OCR for scanned documents, native text extraction for digital PDFs
AI Summary Generation
Victoria writes a 2-3 sentence summary of each document
Red Flag Detection
Highlights concerning language, missed deadlines, or unusual terms
Vector Embeddings
Documents stored in Qdrant for semantic search and AI retrieval
Financial_Affidavit_2025.pdf
2.4 MB - 15 pages
Processing complete
Victoria's Analysis:
Financial affidavit showing annual income of $185,000, assets totaling $425,000 including primary residence and retirement accounts. Monthly expenses listed at $8,200.
The same workflow orchestration technology trusted by Netflix, Uber, and Stripe—now processing your legal documents.
Automatically scales from 3 to 50 workers based on demand. Process 10,000+ documents concurrently without manual intervention.
Enterprise SLA with automatic retry, exponential backoff, and state persistence. Workflows survive server crashes.
Process documents of any size. 10,000+ page documents handled seamlessly with 2-hour processing timeout.
Parse
LlamaCloud with auto-retry
Categorize
AI-powered classification
Analyze
Title & summary generation
Embed
Voyage-law-2 vectors
Store
Qdrant vector database
Why Temporal? Unlike basic job queues, Temporal provides enterprise-grade workflow orchestration with automatic state persistence, retry logic, and horizontal scaling. Your document processing workflows are as reliable as Netflix's video encoding or Uber's ride matching.
Financial_Affidavit_2025.pdf
Page 7 - 95% relevance
"Monthly expenses totaling $8,200 including mortgage ($2,400), utilities ($350), car payment ($650), insurance ($800)..."
Bank_Statements_Q4.pdf
Page 3 - 72% relevance
"Recurring monthly debits: $8,187 average"
Don't search by filename. Ask natural language questions and Victoria finds the relevant passages across all your documents.
Semantic Understanding
"What is the spouse's income?" finds salary, wages, bonuses, commission
Relevance Scoring
Results ranked by how well they answer your question (95%, 87%, 72%)
Context Snippets
See the exact passage with highlighted keywords
Documents are automatically categorized by type. Filter by category to find what you need fast.
Smith v. Smith - 127 documents
Upload new versions of documents. Victoria tracks version history, shows what changed, and lets you revert to previous versions.
Mark sensitive documents as confidential. Victoria enforces extra access controls and logs all views for audit compliance.
All 3 Victoria agents (Co-Counsel, Discovery Manager, Financial Analyst) can reference documents in LexVault during conversations.
Upload documents. Victoria analyzes them. Search semantically. Find answers instantly.