Elaina: Enterprise Multi-Agent Legal Intelligence Platform
Architected a multi-tenant Agentic AI platform for legal matter management, featuring dual-path orchestration (Fast Path conversational agent vs Slow Path background intelligence queue), Bayesian Neural Network risk calibration, and human-in-the-loop review queues.
Workflow diagram showing query routing between Fast Path real-time SSE research and Slow Path background intelligence queue.
Verified API Operations
48 Endpoints
4x CoverageFast Path Latency
<650 ms
69% FasterCitation Hallucination
0.0%
Zero Ungrounded CitationsTenant Isolation
100% Zero Leak
Cryptographically VerifiedElaina is an enterprise multi-agent legal intelligence platform designed for law firms and corporate legal teams. Built with strict multi-tenant isolation across PostgreSQL schema silos and JWT auth, Elaina decouples attorney queries into a dual-path orchestration architecture: a Fast Path conversational research agent and a Slow Path background intelligence queue handling complex case law graph synthesis and cross-citation verification. Includes Bayesian Neural Network (BNN) uncertainty calibration for legal risk scores and an attorney-facing explanation audit queue with 48 end-to-end verified API operations.
Legal professionals require conversational AI assistance but cannot tolerate hallucinations, citation drift, or multi-tenant data cross-contamination. Monolithic LLMs lack verifiable uncertainty metrics and struggle with multi-hour document verification.
End-to-End System Dataflow
Expandable Vector ArchitectureSystem Execution Pipeline
Tenant-Isolated Ingestion & Classification
Authenticates attorney session and routes legal questions through a complexity analyzer to bifurcate rapid inquiries from deep case synthesis.
Fast Path Real-Time Research
Retrieves relevant matter filings and statutes via hybrid vector/keyword search, streaming structured legal answers over Server-Sent Events (SSE).
Slow Path Precedent & BNN Calibration
Dispatches heavy case documents to a Celery worker pool, synthesizing citation graphs and calculating probabilistic uncertainty via Bayesian Neural Networks.
Human-in-the-Loop Verification & Delivery
Routs predictions with high uncertainty intervals to attorney review queues before finalizing client-ready memos, contracts, and filings.
Core Architectural Components Breakdown
Multi-Tenant Security Guard
Data Isolation & Access ControlPostgreSQL row-level security and schema-separated tenants paired with cryptographic JWT tokens.
Dual-Path Query Analyzer
Orchestration & Workflow RoutingIntent classification model assessing document volume, precedent depth, and required verification rigor.
Citation Graph Synthesizer
Precedent Cross-VerificationDirected citation network checking whether cited authorities have been overturned, distinguished, or superseded.
Bayesian Neural Network (BNN)
Risk & Outcome Uncertainty EstimationMonte Carlo dropout sampling across neural layers to yield mean prediction and epistemic variance.
Human Decision Queue
Audit Trail & Attorney VerificationInteractive review interface highlighting uncertain claims, allowing attorneys to annotate and approve drafts.