Kenny Electric: AI Contract & Spec Review Platform
How we built a dedicated platform that turns 50-page GC subcontracts into prioritized redlines in minutes, on the company's own secure infrastructure.
Background
Kenny Electric is an industrial and commercial electrical contractor founded in 1974, with more than 300 professionals across Colorado and Wyoming.
Like every specialty trade contractor, their estimating team works against two stacks of paper on every job. First, long, dense subcontracts from general contractors, often 50 to 60 pages, where risk hides in familiar-sounding clauses: broad-form indemnity, pay-when-paid, one-sided termination, prime-contract flow-downs. Second, the construction spec books, which can run thousands of pages and have to be reconciled against the contract scope before a bid goes out. Both land with a tight window to review them, and catching what matters has always relied on a small group of experienced reviewers whose knowledge is hard to scale. The fastest shortcut, pasting all of that into a public AI tool like ChatGPT, means putting confidential, proprietary documents somewhere they should never go.
What We Did
We built Kenny Electric a dedicated contract and spec review platform that runs on their own isolated infrastructure, so their documents and data never leave their environment or get fed into a public AI tool.
The spec side gets the same treatment, and for an estimating team that is just as big a lift. The platform ingests a full construction spec book, parses it into its CSI divisions and sections, and makes it searchable in plain language. A reviewer can ask something like "what does Division 26 say about conductor type?" and get a cited answer in seconds instead of paging through hundreds of pages. It runs the spec against a trade-specific checklist of more than a hundred questions, flags the findings, and builds a responsibility matrix, so the team can reconcile what the contract obligates them to do against what the specs actually require before the bid goes out.
Every review, contract or spec, is logged. Past decisions and master agreements stay searchable for the next one, and the company's positions live in an editable playbook instead of in a few people's heads.
On the contract side, the platform turns a manual, hours-long review into a repeatable process:
- A team member uploads a contract, tied to its project and customer
- The platform parses it into clauses and analyzes each one against Kenny's own playbook of acceptable terms and hard limits
- It returns a risk score, prioritized findings by severity, and suggested, surgical redlines, each citing the specific contract language and the playbook rule behind it
- The team accepts or rejects each suggestion, adds comments, runs it through an approval workflow, and exports a negotiation-ready marked-up document, with an option to push it to SharePoint
Impact
In 3 months, the platform has handled 44 contracts and 43 spec books across 16 projects, with 30 active users on the team. By its own tracking, that is roughly 88 hours saved on contract review and 129 on spec review, with the spec side being the bigger lift, for more than 200 hours back to the estimating team on work that used to eat into tight bid windows.
More important than the hours is the consistency. Every review now runs against the same playbook, so the company's positions are applied the same way whether or not a senior reviewer is in the room, and risk is visible before signature instead of after. Because the platform runs on Kenny's own isolated infrastructure, the team gets all of this without ever putting a confidential GC contract into a public AI tool.
The platform worked well enough at Kenny that we productized it. It now runs for other trade contractors on the same model: a dedicated, fully data-isolated instance per company.
Saved across contract and spec review in the first 3 months
44 contracts and 43 spec books reviewed across 16 projects
Across the estimating and review team
To turn a 50-page subcontract into prioritized redlines
Software: Custom Wyecliff platform, Anthropic Claude, Microsoft Word, SharePoint
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