Channel
@LawBlocks_updates
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
384subscribers
-10 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001738902451 |
|---|---|
| Type | Channel |
| Username | @LawBlocks_updates |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/LawBlocks_updates |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 01:07 | 384 | -9 |
| 8 Aug 2026, 12:33 | 393 | -1 |
| 8 Aug 2026, 05:51 | 394 | no change |
| 7 Aug 2026, 14:00 | 394 | first reading |
17 posts held, back to 28 April 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 1 July 2026. An engagement rate over an empty window would be a number about nothing.
16 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 62.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 10 | 62.5% | |
| 👏 | 3 | 18.8% | |
| ❤ | 1 | 6.25% | |
| 🎉 | 1 | 6.25% | |
| 🔥 | 1 | 6.25% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 14 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 28 April 2026 to 1 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Today, we celebrate two significant milestones in the journey of Law Blocks AI. 🎉 5 Years Since Company Formation 🎉 4 Years of Exchange Listing Over the past five years, we've grown from a vision into a platform building trusted legal infrastructure powered by AI and blockchain. Every milestone reflects the dedication of our team, the confidence of our community, and the support of those who have believed in our mi…
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Every software company eventually becomes a legal-tech company. Not by choice. But because every product eventually needs to: A) Generate contracts. B) Get documents signed. C) Verify records. D) Stay compliant. The problem? Most engineering teams spend months building legal workflows that don't differentiate their product. Law Blocks AI API changes that. With a single, developer-friendly API, you can integrat…
83% of lawyers now use AI. Yet only 9% of firms have an enforced AI policy. That's not progress. That's a risk. The Numbers Don't Lie (2026 Legal Industry Data): • 83% of legal professionals use AI tools, up from under 20% in 2023 • 61% say AI saves them time every week • But 43% of firms have NO formal AI policy • And only 9% have a policy that's actually enforced Data security. Client confidentiality. Ethical co…
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The legal industry is undergoing its biggest transformation in decades. AI is no longer a futuristic concept for law firms, it's becoming standard pr actice. From contract review to legal research, firms that adopt AI assistants are cutting turnaround times by up to 60% and reducing human error significantly. Here's what the shift looks like in practice: → Junior associates spending less time on repetitive documen…
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50 million pending cases in India alone. 80% of low-income individuals in the US with no meaningful legal help. We talk about equality. But access to justice has always quietly belonged to those who could afford it. Something is shifting and it's bigger than just "legal tech." Here's what's actually changing, why it matters, and what still needs to happen. Read the full article: https://www.linkedin.com/pulse/why…
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Most legal AI tools solve one problem. Law Blocks AI solves the whole practice. After speaking with hundreds of legal professionals, the pattern is clear: Lawyers don't have a "drafting problem" or a "research problem." They have a time problem. A workflow problem. A fragmentation problem. Point solutions create new silos. Switching between 6 tools mid-matter isn't efficiency, it's friction with extra steps. Tha…
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The legal industry's AI adoption more than doubled in a single year from 23% in 2024 to 54% in 2025. (Source: ACC & Everlaw) But adoption without accountability is risk. As AI tools proliferate, the gap between what's signed and what's stored securely is widening. Documents sit in cloud folders, contracts get lost in email threads, and disputes drag on for months. Law Blocks AI was built to close that gap. Our pl…
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Most legal teams aren't slow because of their lawyers. They're slow because their infrastructure forces every document to cross 6 different platforms before it's final. We wrote about what happens when you collapse that into one — and why it changes everything from how you sign to how you settle disputes. Full breakdown in the article. 8 Reasons Law Blocks AI Is the Only Legal Platform You'll Ever Need https://www…
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Congratulations to XDC Network on a landmark milestone: 7 Years of Mainnet and 9 Years of Blockchain Innovation! From a bold vision in 2017 to becoming one of the most trusted enterprise-grade blockchain networks in the world, XDC Network has consistently pushed the boundaries of what's possible bridging the gap between blockchain technology and real-world financial infrastructure. At Law Blocks AI, we are proud to…
❤1
We were honoured to be featured on Bepay's podcast! Our CEO & Co-Founder, Adv. Ashish Baphana, sat down with Mr. Nawal Kishor, Founder of Bepay, in a candid conversation on how AI + Blockchain is redefining the future of legal services moderated by Aishwarya. Topics covered: → How Law Blocks AI is making legal access borderless → AI-driven legal document automation → Blockchain-secured digital signatures & smart c…
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The AI legal market just crossed $5.59B in 2026 growing at 22.3% YoY. Law firms that adopted AI jumped from 19% in 2023 → 79% in 2024. This isn't a trend anymore. It's the baseline. At Law Blocks AI, we combine AI + blockchain so your legal docs aren't just smart: they're permanent, tamper-proof & enforceable on-chain. The future of law is decentralised. https://www.linkedin.com/feed/update/urn:li:activity:746533…
Your lawyer just quoted you $400/hr. The median contract dispute? $91,000. The average trial? 35.6 months. And 95% of cases settle not because justice was served, but because one de couldn't afford to keep fighting. The legal system is a luxury. Most of us are just hoping we never have to use it. Full read: https://www.linkedin.com/pulse/your-contract-legally-binding-can-you-actually-enforce-lawblocks-8dmff
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Showing the 12 most recent of 17 posts we hold for @LawBlocks_updates. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 465,538 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Law Blocks AI Updates” (@LawBlocks_updates), 384 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/LawBlocks_updates.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.