Highlights from the 2026 AI in Professional Services report and what it means for legal teams - Thomson Reuters Legal Solutions
<a href="https://news.google.com/rss/articles/CBMi0gFBVV95cUxQejVJaVFRdFhtdzBQa2dTaXkwS2kyelpJaExBTWdKYnR3ZTloakFNSVJ2MmtkQlpfUkIxUGVuZ05xS2JjaEtNZS1kV3o1R3prYmFVbEg5ZGZXYkJKVkVDdEFqX0xiTkVFYnN2YXhCVHd1ajJfT3ZjOFI1NThEakZERm9uZlJzaXF1X1hWMTJoU0I4YVZvczVaVTFZVHd0MllsOUllNW43S2VudllHeFhVT3l3ak5rOGVvTnJ0d3JPLVNwMU5JSDF5N3RKcTduTW9tU0E?oc=5" target="_blank">Highlights from the 2026 AI in Professional Services report and what it means for legal teams</a> <font color="#6f6f6f">Thomson Reuters Legal Solutions</font>
Could not retrieve the full article text.
Read on GNews AI legal →Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
servicereportlegal
Why “On Budget” Doesn’t Mean “On Return”
<p>If you’ve worked on any system at scale, you already know this pattern.</p> <p>The dashboard is green.<br> The metrics look stable.<br> Everything appears under control.</p> <p>And yet, the system is drifting in a way the dashboard doesn’t capture.</p> <p>That’s exactly what happens in real estate projects when teams rely on “on budget” as the primary signal.</p> <h2> Budget is a metric. Return is system behavior. </h2> <p>Construction reporting is built like an operational dashboard. It tracks spend against a plan.</p> <p>It answers:<br> Are we within the expected cost boundary?</p> <p>Return metrics answer something else entirely:<br> Is this system still producing the outcome it was designed for?</p> <p>Those are different layers of the system.</p> <p>You can be perfectly within budg

Instagram DMs to Amazon Connect Chat
<div class="ltag__user ltag__user__id__242047"> <a href="/ensamblador" class="ltag__user__link profile-image-link"> <div class="ltag__user__pic"> <img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F242047%2F4e391627-8eb1-4aa4-99ff-43f99f1296e8.jpg" alt="ensamblador image"> </div> </a> <div class="ltag__user__content"> <h2> <a class="ltag__user__link" href="/ensamblador">ensamblador</a>Follow </h2> <div class="ltag__user__summary"> <a class="ltag__user__link" href="/ensamblador">AWS Specialist Solutions Architect Applied AI @ AWS Opinions expressed are solely my own and do not express the views or opinions of my employer.</a> </div> </div> </div> <br>

The Nines Are Lying to You: What 99.9% Uptime Actually Costs
<p>Your cloud provider promises 99.9% uptime and you nod along like that's basically perfect. I did too, for years. Then I actually ran the numbers.</p> <p> <iframe src="https://www.youtube.com/embed/e8dOiNL7J10"> </iframe> </p> <h2> The Math Nobody Does </h2> <p>99.9% uptime means your system can be completely dead for <strong>8 hours and 46 minutes per year</strong> — an entire workday — and you're still "meeting SLA." That's not a rounding error. That's lunch, two meetings, and a coffee break worth of your service being a 404 page.</p> <p>Here's the full breakdown:</p> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>Nines</th> <th>Uptime %</th> <th>Downtime/Year</th> <th>Downtime/Month</th> </tr> </thead> <tbody> <tr> <td>Two</td> <td>99%</td> <td>3.65 days</td> <td>7.3 ho
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Anthropic Source Code Leak Exposes AI Security Logic Before $350B IPO - startupfortune.com
<a href="https://news.google.com/rss/articles/CBMinAFBVV95cUxOc193eGZ3bkJYR2xQWW1xckZ5T2ZabmdNdnJneWhpTlh0TjBzdkI4ejFKLVlKWjRHejNiNzYtdVo3ZlZFV0pMUC13NmNGbk1TTkd1cURpb3ByWjBZMG1GS2JSYmptcHNaNUJfY25DY0N5b202RTFHaEh4d3lVbnhxa1I1ZlJ2d3NQbHU2ZFFWeGN2X3NIR3BYSW5GUlY?oc=5" target="_blank">Anthropic Source Code Leak Exposes AI Security Logic Before $350B IPO</a> <font color="#6f6f6f">startupfortune.com</font>
Again
It's Inkhaven time. Again, I didn't apply. Probably I should have, but the future is hard to predict. Or not, but I forgot to try. I had some work things I wanted to get done before switching focus, and I got them done yesterday. Coincidentally, of course. And seasonal-depression-fogginess when the applications were open didn't help either. Only now after it lifted I got the energy to get bloodwork done to figure it out: Vitamin D3 deficiency. A well-known issue with a well-known solution, so typical of me. I guess it would have also felt silly to fly there now when I'm going to be at LessOnline in two months. The last time didn't go that well. It was miserable. But so are many other things that in retrospect are completely worth it. So... One thing I'm getting rid of is the 500 word thres

How I Got 33K Google Impressions in 2 Weeks with Programmatic SEO
<p>Two weeks ago I shared how I built a <a href="https://dev.to/christina_sanchez_f16f40a/how-i-built-a-10000-page-seo-site-with-nextjs-and-postgresql-3ipp">10,000+ page SEO site with Next.js and PostgreSQL</a>. Today I'm back with the results.</p> <p><strong>TL;DR:</strong> 33,467 impressions, 70 clicks, pages ranking on page 1 of Google — all within 14 days of deploying to Vercel. No paid ads. No backlinks. Just programmatic SEO done right.</p> <p>Here's exactly what worked, what didn't, and what I'd do differently.</p> <h2> The Numbers (first 14 days) </h2> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>Metric</th> <th>Value</th> </tr> </thead> <tbody> <tr> <td>Total impressions</td> <td>33,467</td> </tr> <tr> <td>Total clicks</td> <td>70</td> </tr> <tr> <td>Average CTR</

How I Cut Infrastructure Costs by 60% by developing a Fast Feedback Development Platform using containerization technologies.
<p>When I joined Ericsson's R&D team as an intern, our development environment had a problem that every engineer on the team silently accepted as normal: spinning up a full local environment took over 30 minutes, consumed enormous cloud resources, and cost the team 40–60% more in infrastructure than it needed to.</p> <p>Six months later, I managed to cut that cost by 60%, reduced memory footprint per machine by 60%, and validation time from 30 minutes to under 10 minutes by smartly optimizing resources.</p> <p>The tools that made it possible? <strong>Docker and Kubernetes.</strong></p> <p>This is exactly how I did it.</p> <h2> 🐳 What Is Docker — And Why Should You Care? </h2> <p>Before Docker, deploying software meant:</p> <ul> <li> <em>"It works on my machine"</em> — classic</li> <li
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!