LegalChain is an Audit Layer for the Agentic Economy.

LegalChain is chartered to advance the following core objectives:

  1. Build a chained evaluation platform for agentic and RAG workflows.
  2. Establish a deep-reasoning stress test for multi-step, stateful tasks.
  3. Create standards for post-training compression (PTQ/quantization) methods.

Transparency

Every prompt, every trace, and every grading rubric is open for public audit. No black boxes.

Observability

Full Langfuse traces for model runs, enabling engineers to see exactly where the chain broke.

Independence

LegalChain is model-agnostic. We serve the law, not the model providers.

Math > Vibes

We reject 'policy-based' evaluations. Our standard is deterministic, rooted in the graph theory of the SCDB.