The Apple Watch needs a better Siri more than the iPhone right now


Apple Watch Ultra 3

Nina Raemont/ZDNET

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ZDNET’s key takeaways

  • Apple’s developer conference kicks off Monday.
  • Apple is lagging behind in the AI race.
  • Its partnership with Google could supercharge its health suite.

I have been wearing Google’s screenless Fitbit Air for a few weeks now, and while comparisons to its luxury counterpart, the Whoop, abound, testing Google’s health tracker put my mind on its biggest rival, Apple, instead.

While I’d be happy to see Apple ship a screenless health tracker of its own, what I’d much rather see is a substantial upgrade to its own health suite — and that starts with software.

Also: Whoop vs. Fitbit Air: I’ve tested both trackers for health and fitness, and this model wins

Apple’s Worldwide Developers Conference kicks off Monday, and the software unveiled there will ship on Apple’s next-gen products. It might not seem like it, but WWDC could mark a turning point for the tech giant, with its rumored Siri revamp at the center of it all. Here’s why.

Gemini will power the next Siri

Google’s Gemini will power the next generation of Siri, the two companies announced earlier this year. Companies use each other’s software all the time — but Apple is no average company. Steve Jobs notoriously kept Apple’s hardware and software closed, with little interest in integrating his products into Android devices or bringing Google products into Apple’s ecosystem.

Alas, it’s 2026, AI has flooded Android’s hardware, and Apple has run shallow on its own. It was about time Apple made a deal.

As ZDNET’s health editor, I am most intrigued by the health and fitness-related possibilities to come out of Google’s Siri revamp. 

While not perfect, my experience testing Google’s AI Health Coach has sold me on health AI as a useful tool. By simply having a chatbot that hooks up to my sleep, exercise, and stress data, I can ask health-related questions that take my specific conditions into account and get personalized answers and recommendations.

Also: I tracked 3,000 steps on my Apple Watch, Google Pixel, and Oura Ring – this one was most accurate

What’s more, I’m eager to see how Apple will include this software in its devices to create something that feels distinct from its competition.

I’d love a new Health app (and chatbot)

I’d love to see a Health app revamp, similar to what Google has done with its Fitbit, now Google Health, app. It’s high time Apple takes the data it’s already collecting from the Apple Watch and uses it to power new daily metrics, connect information across apps, or provide new insights.

A health chatbot could be so easy to implement into the Health app, but Apple would need to configure Google’s Gemini to be as private, secure, and encrypted as its own products are. This is one of the many reasons why people flock to Apple over Android devices, and it’s a big challenge with this collaboration: Will Apple relinquish some of its own privacy measures to get a working AI on its products? I hope Apple will mention this when it reveals this alleged health-related AI assistant.

Also: Oura Ring 5 vs. Oura Ring 4: I compared the smart rings for health tracking – and it’s very close

The health assistant could interact between apps like the Health app, Journal, and the Apple Watch Fitness app to log information without a user having to manually enter this across apps. So let’s say a user logs a mood in the Journal app: The Health AI could connect that mood to physiological information across the user’s Health, Sleep, or Workout apps.

Building on the Sleep Score Apple unveiled in September, I’d also love Apple to integrate more data from the smartwatch into daily summaries you can check. While testing the Fitbit Air and Google Health Premium, I enjoyed getting a little summary of my daily activity, bedtime recommendations, and nudges to move more.

Apple’s position within the health ecosystem emphasizes privacy and science-backed solutions. I’d love to see its research-backed approach to a readiness score, stress monitoring, or a more robust wellness recommendation engine.

Interactive and digestible data

Apple has seemingly built its Health app with interactivity as an afterthought. This makes sense. It isn’t a game or a streaming app; it’s not an app people are supposed to spend more than five minutes sifting through. But the Oura and Google Health apps have proven that people indeed get more out of their health device when data is illustrated in an interactive and digestible way. 

Also: I wore the Oura Ring 5 for 24 hours – and it fixes my biggest issue with Ring 4

Oura does this best, with tabs for daily sleep, activity, and stress scores; a short-term, aggregate tab of important biometrics; and the longitudinal health tab, which displays information like stress management, sleep health, and heart health.

If Apple nails its health coach and Health app redesign, this will position the company well for whatever future wearable it’s cooking up.





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Recent Reviews


Digital Evidence Has Reshaped Criminal Defense – and the Defense Bar Is Still Catching Up

A decade ago, a felony case file might have run to a few hundred pages of police reports, witness statements, and lab results. Today, that same case can include a full cell phone extraction, hours of body-worn camera footage, surveillance video from multiple cameras, social media exports, license-plate-reader hits, and digital forensic reports running thousands of pages. The substantive law has not changed nearly as fast as the evidence it operates on.

For criminal defense practitioners, the shift is not just about volume. It is about how cases are investigated, how discovery is reviewed, how plea calculations are made, and how trials are tried. A defense lawyer who treats digital evidence as an afterthought — to be skimmed close to trial, with the cell phone dump opened only if something obvious surfaces — is no longer providing competent representation in most serious cases.

The Volume Problem

Modern law enforcement investigations generate digital evidence at a scale that traditional defense workflows were never designed to handle.

A single cell phone extraction using forensic tools commonly used by prosecutors can produce a report tens of thousands of pages long. Multiply that across co-defendants. Add cloud account data subpoenaed from providers. Add body-cam footage from every responding officer, often running an hour or more per officer per incident. Add interview recordings, surveillance video, ALPR records, and any wiretap or pen register data.

The defense lawyer’s obligation is to review all of it — or at least to review it competently enough to identify what matters. Doing that without a workflow is impossible. Cases get lost not because the exonerating evidence was hidden, but because it was buried in the third week of message history nobody had time to read.

The practical response involves a combination of technology and process: e-discovery review platforms scaled for criminal cases, paralegal-level review with defined search protocols, and clear allocation of which categories of evidence the attorney personally reviews versus which are screened first. Firms that handle digital-evidence-heavy cases without that infrastructure tend to discover, late in the process, that something important was missed.

Authentication and Chain of Custody Have Become Central

Volume is half the problem. The other half is that digital evidence is harder to authenticate than the physical evidence it has displaced.

A surveillance video recovered from a business has to be tied to a specific camera, on a specific system, with verified timestamps, with continuous custody from the moment of seizure to the moment of presentation. A cell phone extraction has to be tied to a specific device, performed using a documented forensic process, with hash values demonstrating that the data has not been altered. A social media export has to be authenticated either through the provider’s certification or through circumstantial evidence connecting the account to the defendant.

Each of these chains has potential breaks. Cameras get the wrong time. Forensic extractions get performed with outdated software. Social media accounts get used by people other than the registered user. Defense counsel who understands the technical underpinnings of how evidence was collected can identify gaps that opposing counsel may have assumed were settled.

Federal procedure in particular has evolved around these issues. Practitioners working in federal court should be familiar with the Federal Rules of Evidence governing authentication and the best-evidence rule, both of which apply to electronic records in ways that often surprise lawyers more accustomed to paper-era practice.

Discovery Obligations and the Brady Problem

The growth of digital evidence has also complicated the prosecution’s obligations under Brady and its progeny, which require disclosure of material exculpatory and impeachment evidence to the defense.

When the relevant evidence universe was a few hundred pages, prosecutors could reasonably review the file and identify Brady material. When the universe is a hundred thousand pages of cell phone data and dozens of hours of video, identifying what is exculpatory becomes a much harder problem — and not always a problem prosecutors solve well. Defense counsel cannot rely on the prosecution to flag what the defense will find useful. The defense has to find it themselves, which loops back to the volume problem.

Courts have been inconsistent in how they handle Brady obligations in the digital age. Some jurisdictions require prosecutors to provide searchable, organized productions; others permit document dumps that effectively shift the search burden to the defense. The practical implication is that defense lawyers in serious cases must budget significantly more time for discovery review than would have been required even a few years ago, and must do so on schedules that prosecutors and courts often have not adjusted to reflect the new reality.

How Digital Evidence Changes Plea Negotiations

Plea negotiations have always been driven by each side’s assessment of trial risk. Digital evidence has changed both sides of that calculation.

For the prosecution, video and digital records often appear to lock in factual elements that previously turned on witness credibility. A clear video of an alleged assault, or a series of incriminating messages, can shift a case from a battle of testimony into a battle of interpretation. Prosecutors evaluating cases with strong digital evidence often offer less, because they perceive their trial position as stronger.

For the defense, the same evidence frequently contains nuance that changes how a jury would actually receive it. Body-cam footage that the prosecution thinks is damning often shows context that supports the defense theory. Cell phone messages read in full rather than excerpted often tell a different story. The defense lawyer who has actually watched the video and read the messages — rather than relying on the prosecution’s characterization — is often in a meaningfully stronger negotiating position than the case file would initially suggest.

This is part of why pretrial preparation has become more decisive. The cases that resolve favorably are usually the cases where the defense did the digital evidence work early enough to see what was actually there, rather than what the police reports said was there. Resources from the California Courts and the State Bar of California outline the procedural framework within which this work has to happen, but the framework alone does not produce results — sustained attention to the evidence does.

What Effective Defense Looks Like Now

Competent criminal defense in 2026 looks different than it did even five years ago. The lawyers who get the best outcomes for clients tend to share a few characteristics: they take digital evidence seriously from intake forward, they have the infrastructure to review it at scale, they understand the technical questions well enough to challenge authentication where appropriate, and they treat plea calculations as something to be made after the evidence has been examined rather than after the police reports have been read.

For people facing serious charges in California, the practical implication is that the choice of counsel matters more, not less, in the digital evidence era. A firm like Angelo Reyes Law, built around trial-ready preparation rather than volume-driven plea processing, reflects what effective representation tends to look like in cases where the evidence record is large and where the difference between a good and a poor outcome turns on what defense counsel actually finds in the file.

The volume of evidence will keep growing. Defense practice has to keep up.



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