From Document to
Verifiable Intelligence
Our proprietary pipeline transforms legal documents into a queryable knowledge graph with line-level citations. Every answer traces back to the exact source—no hallucinations, no guessing, just evidence you can verify.
Smart Document Intelligence
Upload any legal document—digital or scanned. Our AI automatically detects the format and applies the optimal processing pipeline for maximum accuracy.
Automatic Document Classification
Instantly detect whether your document is digital-native or scanned. Our system automatically routes each document to the optimal processing pipeline.
Layout-Aware Processing
For scanned documents, our Layout LM extracts precise bounding boxes, preserving tables, headers, and paragraph structures exactly as they appear.
Character-Perfect Text Extraction
Every character, every number, every clause—extracted with surgical precision. No more fuzzy OCR errors corrupting your legal documents.
Knowledge Graph Construction
Every chunk becomes a node. Every relationship becomes an edge. Your documents transform into a interconnected web of legal intelligence.
Entity Relationship Mapping
Parties, dates, obligations, clauses—automatically identified and linked. See how every entity connects across your entire document corpus.
Multi-Dimensional Embeddings
Semantic, legal, and structural embeddings capture meaning at every level. Your documents become queryable knowledge, not just searchable text.
Persistent Knowledge Storage
Once indexed, your knowledge graph is ready for instant retrieval. Ask questions months later—the intelligence is always there.
Traditional Search
Picard Knowledge Graph
Evidence-Based Retrieval
Not just search—intelligent traversal. Our retrieval engine navigates your knowledge graph to find answers that connect the dots across documents.
Multi-Hop Graph Traversal
Follow relationship chains across documents. Find the clause that references the party that signed the amendment that modified the original agreement.
BM25 + Semantic Hybrid Search
Exact keyword matching meets semantic understanding. No relevant result ever slips through the cracks.
Context-Aware Retrieval
Our retrieval engine understands legal context. It knows that 'termination' in a contract is different from 'termination' in an employment document.
“What are all the termination clauses across our vendor contracts?”
Found 7 termination clauses across 4 contracts:
- Section 8.2(a) - 30-day notice for convenience [Doc1, Lines 145-152]
- Section 12.1 - Immediate for material breach [Doc2, Lines 234-241]
- Section 9.3 - 90-day notice for non-renewal [Doc3, Lines 89-95]
Each citation links directly to the source text
Line-Level Citations
This is our core value proposition. Every single answer comes with citations pointing to the exact section and chunk in your original PDF.
Line-Level Source Attribution
Every answer cites the exact section, page, and paragraph. Click any citation to jump directly to the highlighted source text.
100% Verifiable Answers
No hallucinations. No guessing. Every fact traces back to your actual documents. Defend every answer to clients, partners, or courts.
Complete Audit Trail
Every query, every answer, every source—logged with full provenance. Built for compliance with professional responsibility requirements.
The Picard Citation Standard
Every answer you get looks like this:
The agreement requires a 30-day written notice for termination without cause, as specified in Section 8.2(a)[1]. Additionally, either party may terminate immediately upon material breach if the breach is not cured within 15 business days [2].
The Evidence-Based AI Guarantee
If Picard ever generates an answer without traceable citations to your source documents, we want to know. Every claim should be verifiable. That's the standard we hold ourselves to.
Saurabh
Founder, Picard.Law
Quick Discovery Call?
Book a 30-minute call with me to get a personalized demo of Picard.Law. We'll explore your specific requirements, discuss how evidence-based AI can transform your legal workflows, and answer any questions you might have.
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