Legal
Lexworth.AI – Hallucination Free Legal AI That Actually Works
Domain-specific AI that eliminated fabricated citations, cut research time by up to 75%, and delivered 100% verifiable outputs — built for legal professionals operating in high-stakes, multi-jurisdictional environments.
The Problem
Our Solutions
- Navtech built Lexworth.AI — a domain-specific AI platform engineered for legal research and document drafting, not adapted from a general-purpose model.
- The system was trained on hundreds of thousands of legal cases across four jurisdictions, with a zero-hallucination architecture at its core: if a case isn’t in the indexed knowledge base, the model will not fabricate it. It abstains. This isn’t a guardrail — it’s the fundamental design.
- An intelligent agentic layer handles query reformulation and context continuity across complex, multi-turn research sessions. Every citation produced is traceable to a source. Every output is verifiable.
- The platform operates entirely within the client’s infrastructure. No case data, no client matter information, and no research queries leave the organisation’s environment.
Metrics
Before
With Lexworth
- Research time per matter
- Document drafting time
- Precedent coverage
- Citation accuracy
- Daily active usage
- 4-6 hours
- 3–4 hours
- 60–70%
- Manual verification required
- -
- 1–2 hours
- 1.5–2 hours
- 90–95%
- 100% verifiable
- 70%+ of licensed users
- 60–75% faster research. 50% faster drafting. 100% citation accuracy. Zero fabrications.
Why It Works
- Generic AI fails in legal because breadth and depth are opposites. A model trained on everything knows a little about law. A model trained on law knows what matters.
- Lexworth.AI works because the zero-hallucination architecture isn’t a feature added after the fact — it’s the reason the platform exists. The model’s scope is defined by the knowledge base. Outside that scope, it says so. In a profession where one fabricated citation can end a career, that constraint is the product.
- For compliance and information security stakeholders, the answer is equally clear: the data never moves. The model runs on the organisation’s own infrastructure, under its own governance, with full audit trails on every query and output.