A free, practical session on using AI for contract review, risk, and compliance.

Legal and compliance work is time-consuming by nature, but a lot of it doesn’t have to be. See how AI helps teams move through contract review, risk assessment, and compliance checks in a fraction of the time.

What we’ll cover:
• Cut contract review from hours to minutes.
• Identify and assess risk across contracts and documents.
• Run compliance checks in less time.
• See what’s actually working for legal and compliance teams today.

Who it’s for: In-house legal teams, compliance officers, and business leaders looking to move faster without adding headcount.

Tuesday, July 14, 2026 · 1:00 PM ET / 12:00 PM CT / 10:00 AM PT · Free live webinar.
Presenter: Josh Sullivan, COO at Kiingo AI.
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• Anthropic brought Claude Cowork to mobile and web on July 7, letting its task-running agent start a job on your laptop, keep working after you close it, and report in to your phone. Notably, coding makes up just 8.7% of its activity; about a third is routine business operations like building reports, onboarding checklists, and reconciling spreadsheets. Anthropic also made Claude Sonnet 5 its default model on June 30, putting near-flagship performance within reach at a fraction of the price through August 31. (TechCrunch, VentureBeat, Anthropic)

• Google shipped two cheaper media models on June 30: Nano Banana 2 Lite, which generates an image in around four seconds for about 3 cents apiece, and Gemini Omni Flash, which edits video from plain-language instructions at $0.10 per second of output. Built for teams that had been rationing image and video spend. (Google, TechCrunch)

• Microsoft launched a $2.5 billion deployment arm, Microsoft Frontier, staffing it with 6,000 engineers who embed with customers to build and run AI systems. Amazon committed $1 billion to a near-identical unit two days earlier. Big Tech’s newest product line is deployment help itself. Separately, Microsoft 365 Copilot pricing rose July 1, with Business Standard plus Copilot landing around $35 per user per month, so expect a bump on the next invoice if your team runs on those plans. (TechCrunch, CNBC, Microsoft)

• Together AI raised $800 million at an $8.3 billion valuation in a round led by Aramco Ventures with Nvidia joining. The company rents infrastructure for running freely downloadable AI models like DeepSeek and Kimi, and says bookings crossed $1.15 billion last quarter as usage of those models tripled. (TechCrunch, Yahoo Finance)

• Meta is reportedly building a cloud business to rent out its AI computing power, a service dubbed Meta Compute that would sell computing capacity and ready-to-use AI models to outside customers and undercut Amazon and Microsoft on price. Meta has poured roughly $183 billion into AI infrastructure with little standalone revenue to show for it, so renting out the surplus is one way to start. (Bloomberg, TechCrunch)

• OpenAI floated handing the U.S. government a roughly 5% stake ahead of a planned IPO, and urged rivals to do the same. Sam Altman pitched it as sharing AI’s upside with the public. Critics note a regulator that owns a company has a hard time policing it. Reported value estimates ranged widely, from $15 billion to $43 billion. (CNBC, Bloomberg)

• Illinois became the first state to require independent safety audits of advanced AI models, after Gov. Pritzker signed SB 315 on July 6. The law puts the largest AI developers under annual third-party audits, and Anthropic backed the bill, calling it a step toward accountability. (Chicago Sun-Times)

• Anthropic extended free access to Claude Fable 5 on all paid plans through July 12, giving Pro, Max, Team, and select Enterprise users five more days to use the model for up to half their weekly usage allowance before it moves to a paid credit system. (Anthropic / @claudeai)

• BCG’s fourth annual AI at Work survey of 11,749 workers across 14 markets found 42% of regular frontline AI users now save a full workday or more each week, and two-thirds say it has improved their job satisfaction. Regular AI use among frontline staff climbed to 74%, up 23 points from a year ago. (BCG AI at Work, June 2026)

• QuickBooks’ 2026 AI Impact Report, built on 34,000 small businesses and 5.3 million accounts, found 77% of US firms now use AI regularly, up from 48% in mid-2024. Among users, 78% report higher productivity, 43% say AI raised revenue, and four times as many say it lifted hiring as cut it. (QuickBooks 2026 AI Impact Report, May 2026)

• Grant Thornton’s 2026 AI Impact Survey of 950 business leaders found companies with fully integrated AI are nearly four times more likely to report revenue growth than those still running pilots, 58% versus 15%. The gap widened at each stage of AI maturity. (Grant Thornton 2026 AI Impact Survey, April 2026)

Most growth conversations start with what to add: a new product, a new hire, a new tool. This one starts with what you already have. Your business is sitting on assets you have stopped noticing: a customer list, a pile of proprietary data, a distribution channel, hard-won expertise. The most valuable offerings often live in the combinations rather than the individual pieces. This prompt takes an inventory of what you own and hunts for the product hiding between two things you never thought to put together.

The Mashup
You are a business model strategist. Here are the assets my company already owns: [list what you have, for example customer data, an engaged audience or email list, proprietary expertise, content, a distribution channel, physical space, a tool or process you built, supplier relationships, a brand].

Look for value hiding in combinations rather than in any single asset. Pair my assets against each other two or three at a time and find offerings I am not currently selling that only I could credibly launch because I already hold all the pieces. Favor combinations a competitor could not easily copy. For the strongest three, name the new offering, who buys it, why the pairing makes it defensible, and the first cheap test to prove demand before I build anything.

Return as: (1) three new offerings, each tied to the specific assets combined, (2) the buyer and the defensibility for each, (3) a one-week, low-cost demand test for the most promising one.

Run it with your real, messy asset list. The odd, overlooked assets are usually where the interesting combinations come from. The best new offering is often something you assemble from what you already own rather than something you build from scratch. Start with the one combination that made you pause.

You can fall behind on AI while using it every day. All it takes is finding one thing that works and never looking up again.

The tools change every few weeks. New models, new techniques, features that didn’t exist last month. Whatever you locked in six months ago as “the way I use AI” is probably no longer the best way to do it. Staying current is the actual skill.

Think about Excel. If a coworker showed you a formula that turned a twenty-minute cleanup into two seconds, you wouldn’t nod politely and keep doing it by hand. Nobody does that. But it’s exactly what we do with AI the moment we get comfortable with one routine.

So don’t get stuck in the mud on a workflow just because it’s paid off so far. Treat AI like continuing education: keep following what’s changing, and stay ready to swap your method the day a better one shows up. That willingness to adapt will matter more than any single prompt you’ve memorized.

Starting with AI is the easy part. The harder part comes later: keeping up after the novelty wears off, when the tools shift again and the workflow you built last quarter suddenly needs a rethink. Most teams try to white-knuckle that part alone.

You don’t have to. Kiingo works alongside your team for the long haul, meeting you wherever you are today and staying with you as that changes.

Tell us where you’re stuck →