New regulatory requirements
Identifies contracts with clause gaps against a named regulation or standard. Provides a prioritised remediation queue that makes the affected portfolio and required amendments clear.
— Legal & Contracts
Tests every contract in your register against the clauses a named regulation demands, then ranks remediation by value, term remaining and counterparty criticality and drafts the variation letter per gap cohort.
2–3 weeks → ~25 minutes
For a full population, not a sample
No coding required
— USE CASES
Identifies contracts with clause gaps against a named regulation or standard. Provides a prioritised remediation queue that makes the affected portfolio and required amendments clear.
Ranks affected contracts using contract value multiplied by remaining term and counterparty criticality. Gives legal teams an explicit, consistent basis for directing limited remediation capacity.
Groups contracts with the same clause gap and provides a variation letter template for each group. Supports consistent drafting across counterparties with comparable amendment needs.
Presents an exposure chart alongside the prioritised assessment. Helps leadership understand where contractual gaps concentrate and why particular contracts warrant greater attention.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Each row of your export is processed on the same basis, so no clause is skipped however long the table is.
Movement across the contract portfolio is visualised from the computed data, so the trend is legible at a glance.
Findings on the contract portfolio are written up as a document that reads like professional output, with each claim tied back to a clause.
Derived columns are added row by row, keeping your source data and the judgement about each clause side by side.
Detail rows are summarised into the grouped view of the contract portfolio without losing the underlying clauses.
New regulatory requirements can leave contract portfolios with uneven clause coverage and no clear basis for prioritising amendments. New regulatory requirements is the typical trigger — identifies contracts with clause gaps against a named regulation or standard. Provides a prioritised remediation queue that makes the affected portfolio and required amendments clear. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 2–3 weeks of manual work.
Here the same job runs as a Skill. Your material goes in; assessment of clause gaps against the specified requirements comes out, alongside affected contract groups organised by shared clause gap. 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, 2–3 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.
Regulatory clause retrofit assessment 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.