LegalFab Technical Resources
Version: 1.0 Last Updated: February 2026
Overview
This section provides links to technical articles and thought leadership covering the concepts, architectures, and methodologies underlying the LegalFab platform. These resources offer deeper insights into knowledge graphs, ontology design, entity resolution, graph-based retrieval, and agent orchestration.
Knowledge Graph Architecture
| Article | Description |
|---|---|
| Graph Database Selection for RAG/AI: What the Benchmarks Won’t Tell You | Practical considerations for choosing graph databases beyond performance metrics |
| Property Graphs vs. Rigid Ontologies: Choosing the Right Foundation for Enterprise AI Memory | Trade-offs between flexible property graphs and strict ontological structures |
| Graph Maintenance at Scale: The “Data Tax” Nobody Warns You About | Operational realities of maintaining production knowledge graphs |
| Knowledge Graphs Reveal the Hidden Architecture of Great Literature | Using graph analysis to uncover structural patterns in complex texts |
Ontology & Schema Design
| Article | Description |
|---|---|
| Ontology Drift: Why Your Knowledge Graph Is Slowly Going Wrong | How ontologies evolve and degrade over time, and strategies for managing drift |
| Why AI Agents Need Ontologies — and Graphs to Store Them | The role of formal ontologies in grounding AI agent behavior |
| Your LLM Agent Is Only As Good As Your Taxonomy | How classification structures impact LLM reasoning and accuracy |
| Your AI Is Flying Blind: How Dynamic Ontologies Are Changing the Game | Adaptive ontology approaches for evolving domains |
| The Extraction Debate: Choosing the Right Ontology Extraction Method for Your Knowledge Graph | Comparing extraction methodologies and their trade-offs |
Knowledge Graph Extraction
| Article | Description |
|---|---|
| Building Knowledge Graphs from Homer’s Iliad: Open-Domain vs. Schema-Guided Extraction | Practical comparison of extraction approaches using classical literature |
| What Happens When You Extract a Knowledge Graph One Chapter at a Time? The Topology Tells the Story | How incremental extraction affects graph structure and quality |
| Context Blindness Is Real — But the Fix Isn’t Another LLM Call. It’s Structure. | Addressing LLM context limitations through structural approaches |
Entity Resolution & Community Detection
| Article | Description |
|---|---|
| Entity Resolution at Scale: Deduplication Strategies for Knowledge Graph Construction | Techniques for resolving entity matches across large datasets |
| Detecting Communities in 2M+ pages of Epstein files under 1 minute | High-performance community detection on large document corpora |
| Graph-Based Cohort Analysis: A Practical Guide to Community Detection | Applying graph algorithms for behavioral and demographic analysis |
Graph RAG & Retrieval
| Article | Description |
|---|---|
| Graph RAG in 2026: A Practitioner’s Guide to What Actually Works | Current state of graph-enhanced retrieval and practical recommendations |
| GraphRAG vs HippoRAG vs PathRAG vs OG-RAG: Choosing the Right Architecture for Your Knowledge Graph | Comparative analysis of graph RAG architectures |
| Hybrid Vector-Graph Retrieval Patterns | Combining vector similarity with graph traversal for improved retrieval |
Agent Orchestration
| Article | Description |
|---|---|
| Beyond Chatbots: How Graph-Based Agent Orchestration Is Reshaping Enterprise AI | Moving from conversational AI to complex multi-agent systems |
| Agents on Graphs: How We Built a Declarative Agent Orchestration Engine on LlamaIndex | Technical implementation of graph-driven agent coordination |
| Why Enterprise AI Agents Are Failing | Common failure modes and how to avoid them |
| From Domain Expertise to Autonomous Agents: Introducing the Agentic Graph Framework | Framework for building domain-specific autonomous agents |
| From Theory to Production Reality: Implementing the Paradigms of Agentic AI Adaptation | Lessons learned deploying agentic systems in production |
| From Analyst Workbench to Autonomous Investigator: Implementing Level 3 AGI in Forensic Analysis | Progressive automation in investigative workflows |
Case Studies
| Article | Description |
|---|---|
| Processing £8 Billion in 90 Days: Scaling Graph-Based Architecture for UK Motor Finance Remediation | Large-scale financial remediation using graph architecture |
| How We’re Using Graph Theory to Transform Car Finance Remediation | Applied graph algorithms in regulatory compliance |
| From Raw Clicks to Marketing Gold: How Knowledge Graphs Turn Your Behavior Into a Valuable Profile | Behavioral graph construction for customer intelligence |