Inputs
Set weights, score each factor, then calculate.
Scales: Weight 0–5 • Score 1–10
Formula Used
This tool uses a weighted scoring model. Scores are normalized so results are comparable.
Weighted Raw Score
Raw = Σ (weightᵢ × scoreᵢ)
Normalized Score (0–100)
Norm = (Raw − Min) / (Max − Min) × 100
where Min = Σ(weightᵢ × 1) and Max = Σ(weightᵢ × 10).
where Min = Σ(weightᵢ × 1) and Max = Σ(weightᵢ × 10).
Risk tilt adjusts the gap threshold needed to declare a winner.
How to Use This Calculator
- Pick two jurisdictions you’re evaluating for a contract clause.
- Select a weight preset, then fine-tune weights for your situation.
- Score each factor from 1 to 10 for both jurisdictions.
- Click Calculate to see normalized scores and drivers.
- Export CSV/PDF and attach it to your contract decision record.
Use consistent scoring definitions across your team for best results.
Example Data Table
Sample scoring patterns for demonstration only. Adjust to your facts and counsel guidance.
| Jurisdiction | Predictability | Enforcement | Speed | Cost | Arbitration |
|---|---|---|---|---|---|
| England & Wales (UK) | 8 | 8 | 7 | 6 | 8 |
| Singapore | 8 | 8 | 8 | 6 | 9 |
| New York (USA) | 8 | 7 | 6 | 5 | 8 |
| UAE (DIFC) | 7 | 7 | 7 | 6 | 8 |
FAQs
1) Is this tool legal advice?
No. It’s a decision-support worksheet. Use it to document assumptions, then confirm final choices with qualified counsel for your contract and jurisdiction.
2) What do weights mean?
Weights control importance. A weight of 0 ignores a factor, while 5 makes it dominant. Keep weights consistent across comparisons to avoid skewed results.
3) How should we score factors?
Define a team scoring rubric first. Use evidence like prior disputes, counsel input, enforcement experience, and industry norms. Scores should reflect your specific contract context.
4) Why normalize to 0–100?
Normalization makes results comparable even when total weights change. It also provides an easy-to-read score for summaries, approvals, and repeatable decision records.
5) What is “risk tilt”?
Risk tilt adjusts the score gap needed to declare a winner. Conservative tilt requires a bigger margin, while aggressive tilt accepts smaller differences when you need speed.
6) Can I compare more than two jurisdictions?
Yes. Run multiple comparisons using the same weights and rubric, then keep the exports together. For large reviews, build a short list and compare finalists.
7) Why do CSV and PDF exports matter?
Exports let you attach a repeatable, auditable rationale to contract files. That helps reviews, approvals, and future renewals with consistent decision logic.
Implementation note
This page uses a popular CSS framework via CDN for responsive layout. The PDF export is a minimal, text-only generator to keep the file self-contained.