Monte Carlo simulation over aggregate court x area outcome distributions from published UK decisions. A heuristic for client conversations — the supervising solicitor decides what to advise.
Phase 2 — public case-law access pending Computational Analysis Licence (CAL) from The National Archives. Current closed beta uses synthetic test data only. Activates at public launch on 1 September 2026.
What Digital Twin does
Monte Carlo simulations over aggregate court x area outcome data from published UK decisions. Heuristics for client conversations — not predictions about any individual judge.
Compare litigation, settlement and mediation paths with cost-and-time bands drawn from aggregate published outcomes. The supervising solicitor decides which path to advise.
Surface typical duration bands and procedural milestones at the court x area level. Useful for client expectation-setting; not a guarantee.
Model total cost-bands under different strategies with confidence intervals. Each band cites the underlying published decisions.
How It Works
Matter type, jurisdiction, parties, evidence strength, asset position.
Thousands of iterations against aggregate court x area outcome distributions.
Probability bands, cost-and-time ranges, confidence intervals on every figure.
Heuristics for client conversation. Final advice remains with the solicitor.
Accuracy
Bands are derived from aggregate distributions across published UK decisions. Never a per-judge prediction. Every figure cites the underlying authorities.
Five-firm closed beta · free until 1 September 2026. Phase 2 — public case-law inputs pending the Computational Analysis Licence.
See It In Action
Walk through the key workflows — from your dashboard, in real time.