Prioritising deal team attention
Ranks agreements by assessed deal risk and identifies the ten most material contracts, helping the deal team focus its legal review where the findings matter most.
— Legal & Contracts
Legal Due Diligence Review
Scores every agreement in a data room on the same diligence criteria and ranks them, so the deal team reads the ten that matter first alongside a red-flag schedule for the SPA discussion.
- Legal & Contracts
- Traceable reasoning
- Runs anywhere
3–4 weeks → ~25 minutes
For a typical multi-document review workflow
No coding required
- Input
- Data room contract set
- Output
- Contract assessment table scored against consistent diligence criteria
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~3–4 weeks per run
— USE CASES
What people use Legal Due Diligence Review for
Assessing transaction-sensitive contract terms
Highlights change-of-control, assignment and termination provisions that may affect contract continuity, alongside exclusivity and non-compete restrictions that could constrain the buyer.
Understanding contractual exposure
Assesses liability, indemnity exposure and material ongoing obligations across the contract set. Presents an exposure chart that makes concentrations of contractual risk easier to discuss.
Supporting SPA disclosure discussions
Produces a red-flag schedule covering material risks and unusual terms, providing a structured basis for advisers’ disclosure discussions.
What it works from
- Data room contract set
- Contract provisions governing control, assignment and termination
- Exclusivity, non-compete, liability and indemnity provisions
- Material ongoing obligations and unusual contract terms
What you get back
- Contract assessment table scored against consistent diligence criteria
- Risk-ranked shortlist of the ten most material agreements
- Contractual exposure chart
- Red-flag schedule for SPA disclosure discussions
— HOW IT BEHAVES
How Legal Due Diligence Review produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Whole sets of contracts and agreements at once
All of your contracts and agreements is processed as one set, so patterns across documents surface instead of being read one file at a time.
The pattern charted
Movement across the contract portfolio is visualised from the computed data, so the trend is legible at a glance.
Composed as work product
Findings on the contract portfolio are written up as a document that reads like professional output, with each claim tied back to a clause.
Each clause enriched in place
Derived columns are added row by row, keeping your source data and the judgement about each clause side by side.
Roll-up alongside clause-level detail
Detail rows are summarised into the grouped view of the contract portfolio without losing the underlying clauses.
Why this is expensive by hand
Contract diligence can leave deal teams with uneven assessments, buried obligations and limited clarity on which agreements deserve attention. Prioritising deal team attention is the typical trigger — ranks agreements by assessed deal risk and identifies the ten most material contracts, helping the deal team focus its legal review where the findings matter most. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 3–4 weeks of manual work.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is contract assessment table scored against consistent diligence criteria, with risk-ranked shortlist of the ten most material agreements. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. In effect, 3–4 weeks of senior time compresses into ~25 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
- Operations teams handling contract volume
- Consultants advising on contractual risk
Run it in Skillsize — or export it anywhere
Legal Due Diligence Review 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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