Zenith AI — Legal Document Intelligence Platform
Enterprise RAG Pipeline, Semantic Clause Search & Role-Based AI Summarization
An enterprise-grade document intelligence platform that ingests hundreds of pages of legal contracts, indexes clauses into a vector database, and allows attorneys to query agreements with verifiable citations.
Project Overview
The Product & The Vision
A prominent technology consultancy secured an engagement with a regional legal association to automate contract due diligence. wswebsolution was engaged as the confidential AI engineering team to design and build the document ingestion pipeline, vector embedding workflows, and a secure Next.js attorney workspace.
Agency Partnership Context
Why wswebsolution Was Engaged
The consultancy had deep enterprise client relationships but lacked dedicated in-house engineers experienced with vector databases, hybrid search heuristics, and LLM guardrails. wswebsolution provided the full engineering squad under an NDA, enabling the agency to deliver a cutting-edge AI product without hiring AI researchers.
Challenge vs. Architectural Solution
How our systems architects broke down complex project barriers into modular engineering wins.
- Legal documents contain dense formatting, multi-column layouts, and footnotes that break naive text chunking algorithms.
- Eliminating AI hallucinations: every claim made by the model must link directly to an exact paragraph and line number in the source contract.
- Strict data confidentiality requirements ensuring client contracts are never retained or used for foundation model training.
- Sub-two-second query response times across multi-hundred-page contract corpuses.
- Engineered an OCR and layout-aware PDF parsing pipeline using Python and Unstructured.io, preserving document hierarchy and tabular clauses.
- Built a hybrid retrieval system combining dense vector search (pgvector) with sparse lexical search (BM25) and cross-encoder re-ranking.
- Implemented deterministic citation extraction where every synthesized answer includes highlighted interactive page references.
- Deployed zero-data-retention enterprise LLM endpoints behind a private VPC with PII redaction filters.
System Architecture Highlights
Concrete architectural decisions made to guarantee scale, data safety, and performance.
Hybrid Search with Cross-Encoder Re-Ranking
Queries are simultaneously evaluated against semantic vector embeddings and exact BM25 keyword matches. The top 50 candidates are re-ranked by a Cohere cross-encoder before the final context window is constructed, dramatically boosting retrieval precision.
Deterministic Grounding & Citations
The prompt architecture requires the model to return JSON objects containing direct textual quotes from the retrieved chunks. Clicking any citation in the UI scrolls the native PDF viewer directly to the highlighted coordinate bounding box.
Technologies & Frameworks Deployed
The specialized tech stack chosen to meet the project's performance and security requirements.
Attorney workspace frontend with dual-pane PDF viewer and conversational search panel.
High-performance asynchronous document ingestion and embedding microservice.
Combined relational database and high-dimensional vector index for unified querying.
Document chunking strategies, hybrid retrieval orchestration, and citation binding.
Core reasoning and clause comparison model utilizing zero-data-retention commercial endpoints.
Semantic query caching to avoid redundant LLM calls on identical clause inquiries.
Scope Delivery
Key Modules Delivered
Sprint Execution
Development Process & Milestones
Tested 6 chunking heuristics on 50 sample legal contracts to maximize retrieval context accuracy.
Built FastAPI ingestion pipeline, pgvector indexing, and semantic caching architecture.
Engineered responsive Next.js interface with PDF coordinate highlighting and streaming response indicators.
Verified PII sanitization, role-based document isolation, and enterprise token security.
Shipped containerized Docker images to client's private AWS cluster with complete white-label manuals.
Technical Deliverables & Code Handoff
Verified artifacts signed over unconditionally to the partner agency upon completion.
Ready to Deliver Serious Engineering for Your Clients?
Bring your architectural requirements or RFPs to wswebsolution. We will provide a complete sprint breakdown and fixed estimate under mutual NDA.