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Uihlein Electric: AI Contract & Spec Review Platform

Uihlein Electric case study cover

Uihlein Electric: AI Contract & Spec Review Platform

How we stood up a proven contract and spec review platform for a century-old electrical contractor, customized to their playbook and running on their own secure infrastructure.

Background

Uihlein Electric is a Milwaukee-area electrical contractor founded in 1911, originally wiring the Schlitz Brewery and, in the century since, much of the city, from American Family Field and Harley-Davidson to Rockwell Automation and the Potawatomi Hotel and Casino. Today the Brookfield, Wisconsin firm handles electrical, data/comm, building automation, and energy work across the region.

Their estimating team faces the same crunch every specialty trade contractor does. Long, dense subcontracts arrive from general contractors, often 50 to 60 pages, with risk buried in familiar-sounding clauses, and they come paired with construction spec books that can run thousands of pages and have to be reconciled against the contract scope before a bid goes out. The review window is tight, and pasting confidential documents into a public AI tool was never an option worth the risk.

What We Did

Rather than build from scratch, we forked our proven contract and spec review platform, the same one already running in production for another electrical contractor, and customized it to Uihlein's playbook, brand, and workflow. They got a battle-tested tool on day one, running on their own isolated infrastructure so their documents never leave their environment.

Specs get the same treatment. The platform ingests a full spec book, parses it into its CSI divisions and sections, and makes it searchable in plain language, so a reviewer can ask a direct question 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 and builds a responsibility matrix, reconciling what the contract obligates them to do against what the specs actually require. We are also building a drawing-to-spec comparison that flags conflicts between drawing notes and the spec book.

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 Uihlein'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, then exports a negotiation-ready marked-up document with full Word track-changes formatting, inline strikethroughs, replacement text, and margin comments, in the exact format their GC review process expects

Impact

Because Uihlein started on a platform already proven in production rather than a pilot, the team was reviewing real contracts from day one, with the same data isolation and playbook-driven consistency the system was built for. The same platform has saved a peer electrical contractor more than 200 hours of review time, the benchmark Uihlein is now working from.

The clearest sign of buy-in is that the team is making the tool their own. They have already added more than 10 of their own questions to the spec playbook, shaping how the platform reviews their work rather than just trying it out. With contract review now handled in-house against their own standards, they have reduced their reliance on outside counsel for standard agreements.

Day one

Reviewing real contracts on a proven platform, not a pilot

10+ questions

Added to their own spec playbook already

In-house

Standard contract review handled against their own playbook, reducing outside counsel

Since 1911

A century-old contractor now reviewing contracts with AI

Software: AWS Amplify, Supabase, Docker, ECS, Anthropic Claude, Microsoft Word, SharePoint

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