Repeatable client analysis
Run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work.
— Legal & Contracts
Clause Benchmarking
Researches the market-standard position for each clause type in your jurisdiction and sector, then grades every clause as at, above or below market with fallback wording proposed.
- Legal & Contracts
- Traceable reasoning
- Runs anywhere
1 week → ~15 minutes
Including the external research pass
No coding required
- Input
- Documents, exports or uploads you already hold
- Output
- A structured, review-ready deliverable
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1 week per run
— USE CASES
What people use Clause Benchmarking for
Faster first drafts
Turn raw source material into a working draft in minutes and spend your time on judgement instead of assembly.
Comparable results over time
Produce the same shape of output each cycle so movement is measurable rather than re-argued.
What it works from
- Documents, exports or uploads you already hold
- Your own criteria, framework or house method
What you get back
- A structured, review-ready deliverable
- A traceable record of what informed each conclusion
— HOW IT BEHAVES
How Clause Benchmarking produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Live external research
Current external sources are researched during the run rather than recalled from training data, and the sources travel with the output.
Composed as work product
Findings are written up as a document that reads like professional output rather than raw model text.
Broken into reviewable units
Long material is split into individual units — clauses, findings, steps — so each one is assessed on its own merits.
Delivered as a working table
Results land as a clean table you can sort, filter or drop straight into the deliverable.
Why this is expensive by hand
Clause Benchmarking is routine in name only: the inputs are messy, the standard is unwritten, and two people rarely reach the same answer. In practice it shows up as repeatable client analysis: run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 1 week of capacity for it.
How this Skill produces it
Here the same job runs as a Skill. Your material goes in; a structured, review-ready deliverable comes out, alongside a traceable record of what informed each conclusion. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. In effect, 1 week of senior time compresses into ~15 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Who it's for
- In-house legal and contract managers
- Commercial and procurement leads reviewing terms
- Consultants contracting their own engagements
- Operations teams handling contract volume
Run it in Skillsize — or export it anywhere
Clause Benchmarking exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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