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Legal & Professional Services

Citation-Enforced GraphRAG eliminating legal hallucinations in enterprise legal research with verified sources, traceable reasoning, and accurate citations.

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Solutions Architecture & Reference Implementation
Legal AI • Knowledge Graphs • Deep AI

Your AI lawyer just cited cases that don't exist. The judge noticed. 👨‍⚖️

58-82%
Hallucination Rate in Legal Chatbots
Stanford Research
$5,000
Mata v. Avianca Sanctions
Just the beginning
Interactive Technical
View details

The $5,000 Hallucination and the End of the Wrapper Era

ChatGPT fabricated case law in Mata v. Avianca, leading to $5,000 sanctions. Legal chatbots show 58-82% hallucination rates per Stanford.

THE MATA WATERSHED

ChatGPT fabricated three case citations with convincing details. AI confirmed they exist in legal databases. All were fake, resulting in $5,000 sanctions.

CITATION-ENFORCED GRAPHRAG ARCHITECTURE
  • Legal Knowledge Graph maps case relationships
  • KG-Trie prevents hallucinated citation generation physically
  • Red flags block overturned case citations
  • Hybrid RAG ensures semantically valid citations
GraphRAGKnowledge GraphsKG-Trie MechanismCitation EnforcementDeep AILegal Tech
Read Interactive Whitepaper →Read Technical Whitepaper →
Legal AI & Neuro-Symbolic Systems

LLMs hallucinate 69-88% of legal queries. Verbosity bias favors articulate liars over truthful statements. Justice by lottery. ⚖️

69-88%
LLM Legal Hallucination Rate
Stanford Legal Hallucination Research
110+
Entity & Relation Types in TAKG Ontology
Veriprajna KGER Ontology v2.0 Whitepaper
Interactive Technical
View details

Justice in Topology: Deterministic Liability Attribution via Knowledge Graph Event Reconstruction

LLMs hallucinate 69-88% of legal queries with verbosity bias and sycophancy. Knowledge Graph Event Reconstruction uses Deontic Logic for deterministic liability determination via graph traversal.

PROBABILISTIC JUSTICE CRISIS

LLMs favor verbose narratives over truth, exhibiting 69-88% hallucination rates. Verbosity bias, sycophancy, and abductive reasoning failures make probabilistic justice fundamentally inequitable and unreliable.

KNOWLEDGE GRAPH EVENT RECONSTRUCTION
  • Graph topology models accident Digital Twin
  • Deontic Logic codifies laws as executable rules
  • Graph traversal determines fault via pattern matching
  • Neuro-Symbolic pipeline ensures 75% leakage reduction
Knowledge GraphsDeontic LogicGraphRAGNeuro-Symbolic AIKGERDefeasible LogicTAKG OntologyNeo4jRDF TriplestoreAllen's Interval AlgebraCounterfactual ReasoningTraffic Liability
Read Interactive Whitepaper →Read Technical Whitepaper →
Knowledge Graph & Domain Ontology Engineering
Legal AI • Knowledge Graphs • Deep AI

Your AI lawyer just cited cases that don't exist. The judge noticed. 👨‍⚖️

58-82%
Hallucination Rate in Legal Chatbots
Stanford Research
$5,000
Mata v. Avianca Sanctions
Just the beginning
Interactive Technical
View details

The $5,000 Hallucination and the End of the Wrapper Era

ChatGPT fabricated case law in Mata v. Avianca, leading to $5,000 sanctions. Legal chatbots show 58-82% hallucination rates per Stanford.

THE MATA WATERSHED

ChatGPT fabricated three case citations with convincing details. AI confirmed they exist in legal databases. All were fake, resulting in $5,000 sanctions.

CITATION-ENFORCED GRAPHRAG ARCHITECTURE
  • Legal Knowledge Graph maps case relationships
  • KG-Trie prevents hallucinated citation generation physically
  • Red flags block overturned case citations
  • Hybrid RAG ensures semantically valid citations
GraphRAGKnowledge GraphsKG-Trie MechanismCitation EnforcementDeep AILegal Tech
Read Interactive Whitepaper →Read Technical Whitepaper →
GraphRAG / RAG Architecture
Legal AI • Knowledge Graphs • Deep AI

Your AI lawyer just cited cases that don't exist. The judge noticed. 👨‍⚖️

58-82%
Hallucination Rate in Legal Chatbots
Stanford Research
$5,000
Mata v. Avianca Sanctions
Just the beginning
Interactive Technical
View details

The $5,000 Hallucination and the End of the Wrapper Era

ChatGPT fabricated case law in Mata v. Avianca, leading to $5,000 sanctions. Legal chatbots show 58-82% hallucination rates per Stanford.

THE MATA WATERSHED

ChatGPT fabricated three case citations with convincing details. AI confirmed they exist in legal databases. All were fake, resulting in $5,000 sanctions.

CITATION-ENFORCED GRAPHRAG ARCHITECTURE
  • Legal Knowledge Graph maps case relationships
  • KG-Trie prevents hallucinated citation generation physically
  • Red flags block overturned case citations
  • Hybrid RAG ensures semantically valid citations
GraphRAGKnowledge GraphsKG-Trie MechanismCitation EnforcementDeep AILegal Tech
Read Interactive Whitepaper →Read Technical Whitepaper →
Safety Guardrails & Validation Layers
Legal AI & Neuro-Symbolic Systems

LLMs hallucinate 69-88% of legal queries. Verbosity bias favors articulate liars over truthful statements. Justice by lottery. ⚖️

69-88%
LLM Legal Hallucination Rate
Stanford Legal Hallucination Research
110+
Entity & Relation Types in TAKG Ontology
Veriprajna KGER Ontology v2.0 Whitepaper
Interactive Technical
View details

Justice in Topology: Deterministic Liability Attribution via Knowledge Graph Event Reconstruction

LLMs hallucinate 69-88% of legal queries with verbosity bias and sycophancy. Knowledge Graph Event Reconstruction uses Deontic Logic for deterministic liability determination via graph traversal.

PROBABILISTIC JUSTICE CRISIS

LLMs favor verbose narratives over truth, exhibiting 69-88% hallucination rates. Verbosity bias, sycophancy, and abductive reasoning failures make probabilistic justice fundamentally inequitable and unreliable.

KNOWLEDGE GRAPH EVENT RECONSTRUCTION
  • Graph topology models accident Digital Twin
  • Deontic Logic codifies laws as executable rules
  • Graph traversal determines fault via pattern matching
  • Neuro-Symbolic pipeline ensures 75% leakage reduction
Knowledge GraphsDeontic LogicGraphRAGNeuro-Symbolic AIKGERDefeasible LogicTAKG OntologyNeo4jRDF TriplestoreAllen's Interval AlgebraCounterfactual ReasoningTraffic Liability
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Strategy, Readiness & Risk Assessment
Legal AI & Neuro-Symbolic Systems

LLMs hallucinate 69-88% of legal queries. Verbosity bias favors articulate liars over truthful statements. Justice by lottery. ⚖️

69-88%
LLM Legal Hallucination Rate
Stanford Legal Hallucination Research
110+
Entity & Relation Types in TAKG Ontology
Veriprajna KGER Ontology v2.0 Whitepaper
Interactive Technical
View details

Justice in Topology: Deterministic Liability Attribution via Knowledge Graph Event Reconstruction

LLMs hallucinate 69-88% of legal queries with verbosity bias and sycophancy. Knowledge Graph Event Reconstruction uses Deontic Logic for deterministic liability determination via graph traversal.

PROBABILISTIC JUSTICE CRISIS

LLMs favor verbose narratives over truth, exhibiting 69-88% hallucination rates. Verbosity bias, sycophancy, and abductive reasoning failures make probabilistic justice fundamentally inequitable and unreliable.

KNOWLEDGE GRAPH EVENT RECONSTRUCTION
  • Graph topology models accident Digital Twin
  • Deontic Logic codifies laws as executable rules
  • Graph traversal determines fault via pattern matching
  • Neuro-Symbolic pipeline ensures 75% leakage reduction
Knowledge GraphsDeontic LogicGraphRAGNeuro-Symbolic AIKGERDefeasible LogicTAKG OntologyNeo4jRDF TriplestoreAllen's Interval AlgebraCounterfactual ReasoningTraffic Liability
Read Interactive Whitepaper →Read Technical Whitepaper →

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Veriprajna Deep Tech Consultancy specializes in building safety-critical AI systems for healthcare, finance, and regulatory domains. Our architectures are validated against established protocols with comprehensive compliance documentation.

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