Building a shared clause bank
Organises clauses across precedent contracts by topic, with recommended wording and alternative positions. Gives teams a reusable drafting reference grounded in their existing agreements.
— Legal & Contracts
Codes clauses by topic across your executed precedents, selects the strongest drafting as the approved position, and keeps weaker variants as fallbacks with the circumstances that justify them.
1–2 weeks → ~15 minutes
For a typical multi-document review workflow
No coding required
— USE CASES
Organises clauses across precedent contracts by topic, with recommended wording and alternative positions. Gives teams a reusable drafting reference grounded in their existing agreements.
Sets out fallback wording alongside the circumstances that justify its use. Makes the distinction between an acceptable compromise and a walk-away position explicit.
Brings competing versions of the same clause together and identifies the strongest drafting as the recommended position. Preserves useful alternatives with their relevant commercial context.
Provides the clause-level content for a negotiation playbook, linking preferred positions, fallbacks and boundaries to their intended use cases.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
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.
Findings on the contract portfolio are written up as a document that reads like professional output, with each claim tied back to a clause.
Detail rows are summarised into the grouped view of the contract portfolio without losing the underlying clauses.
The clauses land as a clean table you can sort, filter or drop straight into the deliverable.
Executed contracts capture valuable drafting choices, but those choices are often scattered across agreements with different commercial contexts. In practice it shows up as building a shared clause bank: organises clauses across precedent contracts by topic, with recommended wording and alternative positions. Gives teams a reusable drafting reference grounded in their existing agreements. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 1–2 weeks of senior time whenever it comes round.
Here the same job runs as a Skill. Your material goes in; clause library organised by topic comes out, alongside recommended wording for each clause topic. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. The practical effect: 1–2 weeks of manual work becomes a ~15 minutes run, held to an identical standard on the tenth engagement as on the first.
Clause Library Builder 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.
Reads each contract in your register for renewal dates, notice windows and standing obligations, then returns a timeline and an alert list of everything that must be actioned inside 90 days.
Identifies every material change between two versions of an agreement and reads it commercially — what moved, in whose favour, and what must be accepted, pushed back or escalated before signature.
Grades every clause in an incoming NDA against your saved house positions and returns a single verdict — sign, mark up (with the drafting done) or escalate.
Merges a client brief with the scoping-call transcript to extract scope, deliverables, fees and exclusions, pausing for review before drafting the SOW.
Enriches every row of a contracts export with parties, value, term, renewal basis and governing law, turning a messy list into a queryable contract database with the outliers named.
Compares an executed agreement clause by clause against the approved template, logs each exception with severity and approval status, and flags the deviations that keep recurring.