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Welcome to BillionLens

BillionLens is an AI-powered legal document discovery and analysis system designed for attorneys handling complex litigation cases.

What is BillionLens?​

BillionLens helps legal professionals manage large document collections by combining cutting-edge AI technology with traditional e-discovery workflows. Upload your case documents, and BillionLens will:

  • Index and Search - All documents are indexed for instant AI-powered search
  • Extract Entities - Automatically identify people, organizations, dates, and money amounts
  • Build Timelines - Generate chronological timelines of case events
  • Answer Questions - Ask natural language questions and get cited answers from your documents

Key Features​

Document Management​

Upload folders of documents while preserving your existing folder structure. BillionLens supports PDFs, Word documents, Excel files, images, and email files (including PST and MBOX archives).

AI-Powered Chat​

Ask questions about your case in plain English. BillionLens uses advanced Retrieval-Augmented Generation (RAG) to search your documents and provide answers with verified source citations.

Entity Extraction​

Automatically extract and categorize:

  • People - Names with automatic alias detection (e.g., "John Smith" = "J. Smith")
  • Organizations - Companies, law firms, government agencies
  • Money - Dollar amounts and financial figures
  • Dates - Important dates mentioned in documents
  • Emails & Phones - Contact information

Timeline Visualization​

Extract dated events from your documents and view them on an interactive timeline. Filter by date range and mark events as major or minor.

Technology​

BillionLens employs a sophisticated multi-stage AI architecture specifically engineered for the unique demands of legal document analysis and e-discovery.

Advanced Retrieval-Augmented Generation (RAG)​

At the core of BillionLens is a state-of-the-art Retrieval-Augmented Generation pipeline that fundamentally transforms how legal professionals interact with document collections:

  1. Intelligent Document Chunking - Documents are segmented using context-aware algorithms that preserve semantic boundaries, ensuring that related information remains together for accurate retrieval.

  2. Vector Embedding & Indexing - Each document chunk is transformed into high-dimensional vector representations using enterprise-grade embedding models, then indexed in a purpose-built vector database optimized for similarity search across millions of document fragments.

  3. Multi-Query Decomposition - Complex legal questions are automatically decomposed into multiple focused sub-queries using advanced natural language understanding. This ensures comprehensive coverage across different document types and perspectives.

  4. Parallel Retrieval & Aggregation - Sub-queries execute in parallel against the vector index, with results aggregated and deduplicated using semantic similarity scoring to eliminate redundancy while preserving unique evidence.

  5. Grounded Generation with Citation Verification - Final answers are synthesized using large language models constrained to cite only retrieved source documents. Every factual claim is verified against the source corpus, preventing hallucination and ensuring e-discovery accuracy.

Entity Resolution & Knowledge Graph​

BillionLens constructs a dynamic knowledge graph from extracted entities:

  • Alias Detection - Fuzzy matching algorithms identify name variations, nicknames, and abbreviations, linking them to canonical entity representations
  • Cross-Document Correlation - Entity mentions are correlated across the entire document corpus, revealing relationships and patterns invisible to manual review
  • Confidence Scoring - Each extraction is assigned a confidence score based on source citation verification, enabling attorneys to prioritize high-confidence findings

Chronological Event Extraction​

The timeline engine employs temporal reasoning to:

  • Date Normalization - Parse and standardize date references across multiple formats and conventions
  • Event Classification - Automatically categorize events by significance using contextual analysis
  • Causal Chain Detection - Identify sequential relationships between events to construct coherent case narratives

Security & Compliance​

  • Enterprise-Grade Cloud Infrastructure - Documents are stored in encrypted, geographically redundant cloud storage with SOC 2 compliance
  • Zero Data Retention - AI processing occurs in isolated sessions with no persistent storage of document content in model training pipelines
  • Audit Trail - Complete logging of all queries and extractions for compliance and privilege review

Getting Started​

Ready to get started? Head to the Getting Started Guide to set up your first case.

BillionLens by Billion Law LLC