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Welcome to this week's edition of The Legal Wire!

The UN’s tech chief warned that fragmented AI policies will deepen inequality, 85% of countries still lack a strategy, while António Guterres urged data centers to run on 100% renewables by 2030, noting a single AI campus can draw power for 100,000 homes.

OpenAI and Oracle’s Stargate is adding 4.5 GW, pushing the project past 5 GW. Expect a smaller first build in Ohio by late 2025 and, ultimately, more than two million chips to power the network.

Pew’s latest data shows Google’s AI summaries are throttling traffic: users click links 8% of the time on summary pages (vs. 15% on classic results), only 1% click links inside summaries, and 26% end their session there.

Amid the scale, our feature dives into Deliberately.ai’s “Client Intelligence”, a human-centered approach to personal law (divorce, custody, immigration, estates) that carries cases from intake to court-ready output without flattening nuance. Make sure to read our exclusive interview below!

This week’s Highlights:

• Industry News and Updates

• Deliberately.ai and the Rise of Client Intelligence

• AI Regulation Updates

• AI Tools to Supercharge your producivity

• Legal prompt of the week

• Latest AI Incidents & Legal Tech Map

➡️ UN Tech Chief Urges Global AI Regulation to Prevent Inequality | UN telecom head Doreen Bogdan-Martin has called for a unified global approach to AI regulation, warning that fragmented strategies could deepen global inequality. Speaking in Geneva, she emphasized the urgency of creating a balanced framework amid rising concerns over deepfakes, job losses, and disinformation. While nations like the U.S., EU, and China pursue differing AI paths, 85% of countries still lack any national strategy. “Fragmented approaches will not help serve and reach all,” she said, stressing the risk of AI exacerbating global divides if left unchecked.
^{Jul 28, 2025, Source: The Star}

➡️ OpenAI, Oracle Expand Stargate AI Data Center Project | Reported by Reuters: OpenAI and Oracle will add 4.5 gigawatts of data center capacity to their Stargate project, pushing the AI infrastructure initiative beyond 5 gigawatts. Originally unveiled by President Trump in January, Stargate aims to cement U.S. leadership in AI amid global competition. The $500 billion venture, which includes SoftBank, is building its first data center in Texas. Despite skepticism about funding, OpenAI says it will require over 2 million chips to power the sites. A smaller initial build, likely in Ohio by late 2025, is now expected.
^{Jul 22, 2025, Source: Reuters}

➡️ UN Chief: AI Must Run on 100% Renewable Energy by 2030 | Reported by Bloomberg: UN Secretary-General António Guterres has called on major tech firms to commit to powering AI data centers entirely with renewable energy by 2030, citing their massive electricity demands. “This is not sustainable — unless we make it so,” he said in New York while unveiling the UN’s new energy transition report. A typical AI data center can consume as much power as 100,000 homes, with larger centers using up to 20 times more. Guterres also warned about AI’s water use and urged greater clean energy investment in the developing world.
^{Jul 22, 2025, Source: Bloomberg}

➡️ AI Summaries Reduce Google Link Clicks, Pew Study Finds | Reported by Pew Research Center: Google users are less likely to click on links when AI-generated summaries appear in search results, according to new Pew data. In March 2025, 58% of users saw at least one AI summary, and they clicked links just 8% of the time—half the rate seen on traditional result pages (15%). Only 1% clicked on links within the AI summaries themselves. Additionally, 26% of users ended their session entirely after viewing a page with an AI summary, compared to 16% on standard result pages. The most-cited sources were Wikipedia, YouTube, and Reddit.
^{Jul 22, 2025, Source: Pew Research}

Legal Technology

Deliberately.ai and the Rise of Client Intelligence

In legal tech, the rush to automate has dominated recent headlines. Tools are getting faster, workflows more efficient, and clerical bottlenecks are being chipped away by large language models and task-specific AI. But in the realm of personal law, where the stakes are deeply human, something else is needed.

Deliberately.ai calls it Client Intelligence.

Founded by Hans Guntren and Riley Siebel, the platform isn’t designed to simply speed up filings or digitize forms. It aims to reshape the entire client journey from intake and document management to court-ready output, with systems that are context-aware, case-specific, and legally intelligent. For attorneys handling divorces, custody agreements, immigration, or even estate planning, it offers structure without rigidity, automation without oversimplification.

The product’s origin is more personal than technical. Hans experienced the system firsthand, during his own divorce. What stood out wasn’t just the paperwork or the delays, but how disconnected the process felt from the people that were involved. It was clear to him that legal tech hadn’t kept up with the emotional or procedural complexity of personal legal matters. Together with Siebel, a fellow C3.ai alum, he began building a different kind of system: one designed to relieve the cognitive burden of lawyers while enhancing their ability to serve their clients.

In our latest conversation, Hans joined us to discuss the origins of Deliberately.ai and the unique space it now occupies within the legal tech ecosystem.

Click here to continue reading the full interview

The AI Regulation Tracker offers a clickable global map that gives you instant snapshots of how each country is handling AI laws, along with the most recent policy developments.

The most recent developments from the past week:

📋 24 July 2025 | EU unveils mandatory AI training data disclosure template: The European Commission has released its long-anticipated template requiring AI developers to disclose the training data used in their models. Unlike the voluntary GPAI Code of Practice, this disclosure is mandatory for all model providers operating in the EU.

📋 23 July 2025 | ASIC chair says that ASIC will not rush to more AI regulation: In his keynote address at the ABA Banking Conference in Sydney, ASIC chair Joe Longo said that (1) ASIC “won’t hold back customer-centric AI innovation but cutting-edge technology can’t leave your customers bleeding”; and (2) ASIC is “rushing to more AI regulation but acknowledge more regulation may be needed in future. In the meantime, regulators will need to be bolder and more imaginative with how we use our existing powers”.

📋 22 July 2025 | South Korean bill to boost state support for AI development passes key panel: It is reported that South Korea’s National Assembly’s Political Affairs Committee’s Legislative Review Subcommittee has advanced a bill titled “Amendment to the Korea Development Bank Act” to raise the Korea Development Bank’s capital ceiling by 50 percent, enabling greater financial support for the AI sector and other strategic industries. The bill also lays the groundwork for a 50 trillion won AI-focused fund, aligning with President Lee Jae Myung’s push to boost state financial support for the promotion of innovation amid increasing global competition.

🆕 Legisway - Helps you standardize processes, save time on routine tasks, and empower the business to collaborate and self-serve.

🆕 V7 Go - Mastering Legal Complexity with Agentic AI Workflows.

🆕 CaseLens - AI associates that handle arbitration and litigation preparation for you.

Want more Legal AI Tools? Check out our
Top AI Tools for Legal Professionals

This prompt delivers a fast, structured path from “What is an agent?” to “How do we pilot one safely in our firm?” maximizing clarity, speed, and adoption.

Instructions:
Using the inputs I’ll provide — [firm size], [jurisdiction], [practice areas], [current tech stack] — do the following:

- Define “AI agent” vs. a standard LLM chatbot (≤120 words).

- Break down core building blocks: planner/orchestrator, tools & APIs, memory/state, autonomy limits, guardrails, audit logs.

- List 6 high-value legal use cases (e.g., deadline automation, contract risk sweeps) in a table with: time saved, risk level, human-in-the-loop point.

- Blueprint one agent end-to-end (e.g., “Deadline Sentinel”): triggers, data sources, workflow steps, outputs, escalation points.

- Governance & ethics checklist: privilege, confidentiality, logging, versioning, hallucination controls.

- Integration checklist for our stack (DMS, PMS, CRM, e-discovery, calendaring).

- 30-day pilot plan with KPIs (accuracy, cycle time, adoption, error rate).

- Buy vs. build decision matrix with criteria (cost, data sensitivity, customization, maintenance).

Output format: Clear headings, tight bullets, and tables where useful. Keep it concise (<700 words) unless I say otherwise.

The Responsible AI Collaborative is a not‑for‑profit organization working to present real‑world AI harms through its Artificial Intelligence Incident Database.

View the latest reported incidents below:

⚠️ 2025-07-14 | Purportedly AI-Generated Videos Impersonate Brunei Police in 'Real Money Magic' Scam on Social Media | View Incident

⚠️ 2025-02-25 | MyPillow Defense Lawyers in Coomer v. Lindell Reportedly Sanctioned for Filing Court Document Allegedly Containing AI-Generated Legal Citations | View Incident

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