The Climate Risk Dashboard

In 2017, building a legaltech prototype like this meant months of translation between lawyers and engineers. In 2026, it took a Friday.

The problem is that legacy contract structures hide significant climate risks that are rapidly becoming financial and legal liabilities. This prototype explores a "Modular Intelligence" approach to solving that.

We anchored the AI to a deterministic library of The Chancery Lane Project content. This ensures the reasoning is always grounded in established legal frameworks, not just generative plausibility. We show the full architecture we are aiming for, moving from the immediate operational rationale to financial modelling and boardroom governance duties.

The biggest takeaway so far? Legal reasoning becomes testable while you are forming it. Prototyping is no longer just about the output, it's part of the judgment process!

• Deterministic Guardrails: The AI performs a semantic audit, cross-referencing contract language against a vetted library of TCLP climate clauses to prevent hallucinations.
• Actionable Rationale & CPD: It moves beyond identifying risks to providing the exact negotiating strategy and linking directly to accredited training pathways for the lawyer.
• Modular Architecture: The design connects operational drafting directly to executive-level metrics, such as financial risk modelling (using UK ETS pricing) and director duties.

We are currently brainstorming in the modeling phase for the "Financial" module shown in the sneak-peek tabs. I’m interested in feedback from GCs, finance people or legal engineers on the best way to calculate such risk and possible monetary liability.