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Another Episode of Post Truth AI: Should Lawyers Charge More for AI Generated Client Questions?
Picture the scene. A client marches into their solicitor's office clutching twelve pages of "research" their chatbot produced at 2am, complete with three case citations that do not exist and a legal theory that would make a first year paralegal wince. The lawyer now has to read it, fact check it, gently explain why Article 47(b) is not real, and then do the actual legal work anyway. Welcome to the new billable hour: AI Homework Marking. The post that started it On a small b
rachelleake48
1 day ago2 min read
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How can recording meetings improve productivity and capture AI insights?
Every business meeting makes noise. Record it and hand it to AI, and that noise turns into insight, a lighter note taking load, and maybe even a gentle nudge to stop saying "like" quite so much. The real cost of business meetings Knowledge workers sit through 15 to 31 meetings a week, and 71% of senior leaders admit most of them go nowhere. Nationally that works out at roughly 399 billion US dollars a year, about 24 billion lost person hours, and around 25,000 US dollars pe

Neil Marley
4 days ago2 min read
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How Does GenAI Solve Delays, Disputes and Documentation in Construction?
Construction has never suffered from a shortage of information, if anything it suffers from the opposite. Every project generates a mountain of drawings, RFIs, site reports, emails, meeting minutes, change requests, programmes and compliance records. The challenge isn't creating documentation anymore. It's finding the right piece of information before it becomes tomorrow's problem. That's why most of the exciting headlines about AI miss the point. Construction doesn't nee

Neil Marley
6 days ago2 min read
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RFP wins are decided in the first ten pages. Is yours doing the work?
Most bid teams treat the RFP response as a paperwork exercise: assemble the boilerplate, answer every question, hit send. But evaluators don't read that way, and neither does revenue. Procurement research on how evaluators actually work shows a consistent pattern: reviewers sort proposals into a "keep reading" pile or a "reject" pile within the first pages, often the executive summary alone. Busy evaluators read only as much as they need to make that call. If your opening p
bandanabeghal
Oct 13 min read
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The design document we never typed: how AI automated the monthly financial review of a major capital programme
A new era of consultancy has arrived, powered by AI. On our latest engagement, the best design document we produced was never typed, it was spoken. We have just delivered a proof of value for a client operating in a complex, regulated construction environment: an agent that automates the monthly financial review of a major capital programme. Hundreds of live projects, a manual review taking days, and the projects that genuinely needed attention buried deep in spreadsheets. H
bryanlloyd0
Sep 212 min read
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How is AI now outperforming humans at document review and checking?
AI is now better than checking documents, contracts, proposals and other similar work than you and me. (Good. I never liked doing reviews anyway.) This AI advantage only increases at scale. It can deliver the same level of service 24/7 at a lower cost than you. How many times have you seen stuff leave your organisation and then been horrified to find out what was sent to your customer. Best case is a poor brand impact; worst case is commercial and legal risk. We've built an a

Neil Marley
Apr 161 min read
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