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Automatizujte Contract Review v Construction & Trades

In construction, a single overlooked clause regarding Liquidated and Ascertained Damages (LADs) or 'Pay-when-paid' terms can bankrupt a subcontractor. Contracts are uniquely dense, often running hundreds of pages of JCT or NEC standard forms with bespoke, high-risk amendments buried in the 'Preliminaries'.

Ruční
6 hours per major contract
S AI
15 minutes per major contract

📋 Manuální proces

A tired MD or Project Manager sits down at 8:00 PM with a 150-page PDF and a yellow highlighter. They spend four hours squinting at the 'Standard Terms' to find where the Main Contractor has snuck in an unfair indemnity or a 10% retention fee that doesn't trigger for two years. This 'desk time' is stolen from site supervision or family, and fatigue often leads to missing the one sentence that shifts all weather-related risk onto the subbie.

🤖 Proces s AI

An AI-powered 'Risk Agent'—built on Claude 3.5 Sonnet or Spellbook—scans the document against your company's specific risk playbook. It instantly extracts 'Liquidated Damages' rates, 'Extension of Time' triggers, and payment cycles into a clean summary table. Tools like Document Crunch are specifically trained on construction law to flag deviations from standard industry norms.

Nejlepší nástroje pro Contract Review v Construction & Trades

Document Crunch£300/month
Spellbook£450/month
Claude 3.5 Sonnet (via API)£16/month (plus usage)

Příklad z praxe

During the 'Spring Tender Rush,' Dave, a glazing contractor, was drowning. 'Penny, I've got five JCT sub-contracts to sign by Friday or I lose the slots, but I haven't even read the fine print on the LADs,' he told me. We set up an AI workflow that screened all five contracts in an hour; it flagged a 'no-fault termination' clause in a £250k project that would have left Dave holding the bill for £80k in custom glass. He negotiated the clause out, signed the others with confidence, and saved roughly £12,000 in 'emergency' solicitor review fees that month.

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Pohled Penny

Most construction firms treat contract review as a legal hurdle, but I see it as a financial defense mechanism. The 'silent killer' in trades isn't lack of work; it's the 'Margin Leak' caused by signing terms you can't physically meet. AI doesn't just read words; it audits feasibility. Here’s what people miss: AI is better at 'Tender Fatigue' than you are. By the third contract in a week, a human brain starts skimming. An AI is just as clinical and paranoid on the 100th page as it was on the first. I advocate for the 'Red-Amber-Green' framework. Let the AI mark everything Green (Standard), Amber (Review needed), or Red (Deal-breaker). You only spend your high-value mental energy on the Reds. This isn't just about saving time; it's about making sure your business survives the one 'bad' contract that eventually hits every firm.

Deep Dive

The 'Z-Clause' Audit: Automating Bespoke Amendment Detection in NEC & JCT

  • Construction contracts rarely fail on standard JCT or NEC4 boilerplate; they fail on the 'Z-clauses' (NEC) or bespoke amendments (JCT) that shift risk disproportionately to the subcontractor.
  • Our AI transformation approach utilizes a 'Differential Analysis' engine. It compares the uploaded contract against the 'golden copy' of standard industry forms, instantly highlighting every deviation, deletion, or addition.
  • Specifically for 'Pay-when-paid' terms—which are often illegally re-worded as 'Pay-when-certified'—the LLM is fine-tuned to recognize the semantic intent of payment delay rather than just searching for banned keywords.
  • The system cross-references the 'Preliminaries' section with the 'Conditions of Particular Application' to ensure that technical site requirements don't inadvertently trigger breach-of-contract penalties.

LAD Exposure Mapping: Calculating Financial Break-points

Liquidated and Ascertained Damages (LADs) in construction are often calculated per day or week of delay. Our AI modules don't just 'find' the LAD clause; they perform an automated 'Stress Test.' By extracting the LAD rate and the 'Limit of Liability' (if one exists), the AI generates a liability curve against the subcontractor's projected margins. If the LADs for a 4-week delay exceed the total estimated profit on the package, the system triggers a 'Bankruptcy Risk' alert during the pre-tender review phase. This transforms contract review from a legal chore into a strategic financial gatekeeping function.

Technical Drawing & Specification Reconciliation

  • A major source of construction disputes is the 'Priority of Documents' clause. AI is deployed to audit the hierarchy between the Master Contract, the Sub-contract, and the Technical Specifications.
  • Using Multimodal RAG (Retrieval-Augmented Generation), we enable the AI to verify if the 'Scope of Works' in the contract matches the quantities in the Bill of Quantities (BoQ) and the technical requirements in the drawings.
  • This prevents 'Scope Creep' where a subcontractor signs a lump-sum contract for a design that is still evolving, ensuring that any 'Design and Build' (D&B) obligations are clearly ring-fenced to prevent unlimited design liability.
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Automatizujte Contract Review ve vašem podnikání v Construction & Trades

Penny pomáhá firmám v oboru construction & trades automatizovat úkoly jako contract review — se správnými nástroji a jasným implementačním plánem.

Od 29 GBP/měsíc. 3denní bezplatná zkušební verze.

Ona je také důkazem, že to funguje – Penny řídí celý tento obchod s nulovým lidským personálem.

2,4 milionu GBP+identifikované úspory
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