VXT AI notetaker for lawyers turns meetings into file notes

What VXT launched

VXT, a legal technology company founded in Christchurch, has launched an AI notetaker for lawyers. The company says the product turns client conversations into finished legal work, aimed at the paperwork that piles up after every call and meeting.3 It describes that administrative load as a long-running drain on law firms' time and revenue.3

Chief executive and co-founder Luke Campbell says the tool gives lawyers about 10 minutes back after each call or meeting.3 In his telling, the problem is the work each conversation leaves behind: a file note to write, a time entry to log and a follow-up email to send. He argues that some of this work is done badly or skipped, which leads to burnout and lost revenue.3

The workflow is simple to describe. The software takes notes during phone calls, video calls and in-person meetings. When the conversation ends, it writes a summary and saves it, along with a time entry, to the right matter in the firm's legal software. It also drafts a follow-up email based on what was said.3 VXT's product page makes the same pitch: summaries, transcripts and the lawyer's own notes are filed against the correct matter, with a time entry created automatically.1 The company says the tool works with the video-conferencing software firms already use and runs in the background.1

Not a brand-new product so much as a bigger pitch

Calling this a "launch" needs some context. VXT Meet, the meeting product at the centre of the announcement, was already being marketed before the late-October coverage. In August, a VXT blog post called it the only AI notetaker built specifically for law firms.5 In September, an independent comparison of legal notetakers ranked VXT Meet first.4 VXT also announced integrations with PracticePanther and iManage in August, and both already described the company as "the AI notetaker built for law firms."89

The more accurate reading is that VXT is moving its identity from a phone system for law firms to an AI notetaker that covers every channel where clients talk to lawyers. The company still sells a cloud phone system that connects to legal software and includes unlimited AI transcripts and summaries in its subscription.2 The Android app now lists support for Meet on mobile, which supports the idea that phone and meeting capture are being folded into one product.7 The launch is best understood as the moment those pieces were packaged and marketed as a single "conversation to completed work" system.

Why the integration angle matters

The general AI meeting assistant market is crowded with tools such as Otter, Granola, Fellow, Krisp and Jamie.4 VXT's argument is that general-purpose transcription stops too early. In its view, most of these tools leave notes in a separate app, and someone at the firm still has to copy, rename and file them.5

That is the real point of difference, and an outside reviewer agrees. The September comparison ranked VXT Meet first mainly because notes and time entries go straight into the practice-management system instead of sitting in another app.4 It also said Clio had no built-in meeting recorder as of September 2026, so meeting notes reach Clio through integrations such as VXT.4

The Lawyers Weekly report names integrations with NetDocuments, iManage, Actionstep, LEAP and Smokeball.3 Sources disagree on the total. The review counts more than 15 practice-management systems.4 A VXT-authored post on the Australasian Legal Practice Management Association's site says more than 25 platforms, including Clio, MyCase and Filevine.6 VXT's own announcements say almost 30.89 The gap probably reflects different counting methods and a list that is still growing. Whatever the exact number, integration breadth is the company's main competitive advantage.

Campbell has also tied the product to the wider rush of AI in legal software. When the iManage integration was announced, he argued that AI built into tools like Actionstep and iManage is only as good as the information it receives. Because so much of a matter is discussed on calls and never written down, he said, that AI is working from an incomplete record.9 This may be the most important strategic idea behind the launch. VXT is presenting itself not only as a time-saver but as the source of spoken-word data that other legal AI systems need. Its own example shows how this works: a firm transcribes every call in VXT and then uses a separate AI assistant to summarise the call and draft file notes.5

Billable time is the real selling point

The pitch is about productivity, but the customer quotes keep returning to money. A director at ASCO Legal said automatic time entries were a main reason the firm adopted VXT, and claimed each lawyer recovers 30 extra minutes a day.3 An operations director at Texas Criminal Defense Group said notes now reach the client file within seconds, and that legal support staff have doubled their productivity.3

These are customer testimonials, not independent measurements, and they should be read that way. Still, they explain the commercial logic. For firms that bill by the hour, a meeting assistant that records otherwise forgotten billable minutes can pay for itself quickly. That matters because VXT is expensive by notetaker standards. The September review put VXT Meet at $80 per user per month, or $960 a year. That is far more than the general tools it compared, some of which cost under $100 a year.4 VXT's bet is that firms will see the price as a cost of billing more accurately, not as a software subscription.

Usage figures also vary between sources. The launch coverage says more than 16,000 lawyers at 2,300 firms use VXT, across more than 2 million calls and meetings a month.3 VXT's iManage announcement gave lower numbers: more than 12,000 attorneys at over 2,000 firms.9 The VXT-written ALPMA post mentioned more than 1,800 firms using the phone workflow.6 The most charitable reading is fast growth through 2026, with each figure taken at a different time. Either way, these numbers come from the company itself.

Privilege risk hangs over the whole category

The biggest open question for any legal AI notetaker is confidentiality, not productivity. Commentary across the profession this year has been cautious. The New York Times reported in May that AI notetakers were making lawyers nervous. It noted that transcripts keep offhand remarks, jokes and corrected statements that would never appear in meeting minutes, and that they could put attorney-client privilege at risk.14

The core legal concern is consistent across commentators. Privilege depends on confidentiality, so sending a privileged conversation through a third-party vendor's servers can support a waiver argument.1319 An ABA GPSolo article argued that an AI tool is not the lawyer's agent the way a paralegal is. It added that no U.S. court has yet ruled directly on AI note-taking in privileged settings.13 Others stress the risk of discovery: permanent, searchable transcripts can become targets in litigation.1519 Consent law adds another layer. Several commentators point to Brewer v. Otter.ai, a 2025 class action alleging recording without consent from all participants.1719

Professional ethics guidance points the same way. Commentary on NYC Bar Formal Opinion 2025-6 says lawyers should get informed consent before recording, know where data goes and whether it is used for training, and check AI summaries before relying on them.1216

VXT's design choices respond to some of these concerns but not all of them. The company says it does not let third parties such as OpenAI, Anthropic or Google train models on customer data.1 Its notetaker captures system audio instead of joining calls as a visible bot.6 It also advises users to ask permission before recording and notes that some laws require participants to be told.1

The September review raised two issues. It said recordings stay in VXT's cloud for as long as the account is active, and it found no compliance certification on VXT's product pages.4 Some commentators also take a stricter position than any vendor policy can meet. One firm argues that client consent does not remove privilege risk when a third party has access.18 Another says privileged communications should not go through third-party transcription at all.19

The takeaway

VXT's announcement shows where AI meeting assistants are heading in specialised professions. General tools compete on transcription quality and price. Vertical tools compete on how deeply they connect to the systems where work is filed and billed. On that measure, VXT has a real lead, and its idea that spoken conversations are the missing data for legal AI is a strong one.

The main obstacle is the profession's own rules, not competition. Until courts or regulators clarify how privilege applies to cloud transcription, firms will likely weigh VXT's claimed time savings against unresolved confidentiality risk, one matter at a time. Firms that adopt it should treat consent procedures, retention settings and review of AI summaries as part of the deployment, not optional extras.