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Channel

ПравоТех

@pravotech

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

10,434subscribers

-50 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001265136620
TypeChannel
Username@pravotech
Created12 February 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/pravotech

Growth

10,43410,48510,459.56 August 2026 — 10,484 subscribers6 August 2026 — 10,484 subscribers8 August 2026 — 10,485 subscribers9 August 2026 — 10,484 subscribers10 August 2026 — 10,483 subscribers11 August 2026 — 10,479 subscribers12 August 2026 — 10,480 subscribers13 August 2026 — 10,481 subscribers14 August 2026 — 10,475 subscribers16 August 2026 — 10,471 subscribers17 August 2026 — 10,473 subscribers18 August 2026 — 10,470 subscribers19 August 2026 — 10,471 subscribers20 August 2026 — 10,468 subscribers21 August 2026 — 10,467 subscribers23 August 2026 — 10,459 subscribers25 August 2026 — 10,454 subscribers26 August 2026 — 10,449 subscribers27 August 2026 — 10,450 subscribers28 August 2026 — 10,451 subscribers29 August 2026 — 10,448 subscribers30 August 2026 — 10,443 subscribers31 August 2026 — 10,441 subscribers1 September 2026 — 10,437 subscribers2 September 2026 — 10,442 subscribers3 September 2026 — 10,443 subscribers5 September 2026 — 10,440 subscribers9 September 2026 — 10,434 subscribers6 August 20269 September 2026
28 measurements spanning 34 days, net -50. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 10,426–10,493 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
9 Sept 2026, 05:5810,434-6
5 Sept 2026, 21:0110,440-3
3 Sept 2026, 22:1810,443+1
2 Sept 2026, 14:1410,442+5
1 Sept 2026, 14:5410,437-4
31 Aug 2026, 14:0710,441-2
30 Aug 2026, 15:4610,443-5
29 Aug 2026, 18:2510,448-3
28 Aug 2026, 20:0410,451+1
27 Aug 2026, 22:2410,450+1
26 Aug 2026, 22:0710,449-5
25 Aug 2026, 23:1410,454-5
23 Aug 2026, 11:3510,459-8
21 Aug 2026, 21:2810,467-1
20 Aug 2026, 19:0510,468-3
19 Aug 2026, 17:0310,471+1
18 Aug 2026, 19:4810,470-3
17 Aug 2026, 16:1710,473+2
16 Aug 2026, 06:5810,471-4
14 Aug 2026, 15:0910,475first reading

Engagement

20 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 39 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.13%
avg views ÷ 10,434 subscribers
Avg views / post
953
10 posts measured
Reaction rate
2.28%
reactions ÷ views · ER floor
Posts in window
10
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 August 2026
Posts held20 (23 July 202626 August 2026)
Views total9,525
Reactions total217
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 14:45 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
2m 16s
Average length
45s

Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

378 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 32.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12432.8%
custom 538892172142629967811229.6%
👍9725.7%
🔥318.20%
❤‍🔥123.17%
👀10.265%
😁10.265%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 20 of the 20 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 482 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 23 July 2026 to 26 August 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.

Recent posts

26 Aug 2026, 12:40 UTC540 views16 reactionsread 29 August 2026
Photo

📄 Юридическая работа не заканчивается на стратегических вопросах и сложных решениях Часть дня забирают ручной сбор данных, повторяющиеся операции, срочные задачи и переключения между процессами. Хотим понять, что сильнее всего забирает время у юристов и какие задачи остаются без внимания. Пройдите короткий опрос — это займет 2 минуты. Результатами поделимся в следующих постах.

8custom 53889217214262996785👍3

25 Aug 2026, 15:20 UTC644 views28 reactionsread 29 August 2026
Photo

📂 Во сколько и как начинается день адвоката и судьи в отставке? Где проходят встречи с доверителями? И когда заканчивается работа — если заканчивается вообще? Понаблюдали за одним днем Вероники Шубиной по часам: от спортзала и двух срочных апелляций до вечерней встречи с друзьями. ➡️ Читайте в блоге ПравоТех

14custom 53889217214262996787👍6👀1

20 Aug 2026, 14:33 UTC≈1,080 views27 reactionsread 29 August 2026
Video

💼 ИИ ошибся? Отлично, несите нам ПравоКонсультант выдумал судебный акт, не нашел важную позицию или дал другой ответ, который хочется показать коллегам со словами «ну вот же»? Отправьте кейс нам. Команда проверит пример, разберет ошибку и использует ее, чтобы улучшить продукт. Если ошибка подтвердится — вы получите вознаграждение. В видео — коротко о правилах участия. Присылайте кейсы до 31 августа. ➡️ Подать за

❤‍🔥12👍8custom 53889217214262996786😁1

19 Aug 2026, 15:30 UTC979 views23 reactionsread 29 August 2026
Photo

💼 У вас есть юридическая история? Расскажите о ней Запускаем юридическое шоу и ищем героев с реальными историями. Если вы столкнулись с банкротством, спором с маркетплейсом или банковским антифродом, расскажите о ситуации в кадре. Ведущий и юрист зададут вопросы, разберут детали и посмотрят на кейс с правовой стороны. Какие истории подойдут: ➡️ банкротство физических лиц: долги, мошенничество, сложности при оформл

🔥10custom 538892172142629967876

18 Aug 2026, 15:15 UTC904 views21 reactionsread 29 August 2026
Photo

💼 5 новостей про ИИ и право В карточках рассказываем про промпт-инъекции в судебных документах, авторские права на ИИ-арт, конкурс на поиск ошибок в ПравоКонсультант, отчет Deloitte и приговор, подготовленный с помощью нейросети.

🔥8custom 53889217214262996787👍6

17 Aug 2026, 15:35 UTC948 views14 reactionsread 29 August 2026
Photo

🔊 Кажется, что ИИ-агенты — еще одна сложная технология, в которой юристу придется разбираться с нуля Но принцип знакомый: вы описываете задачу, источники, порядок действий и результат — как новому коллеге. В #блог рассказали, зачем юристу ИИ-агент и как собрать помощника без программирования. ➡️ Читать

6👍4custom 53889217214262996784

14 Aug 2026, 15:30 UTC≈1,080 views24 reactionsread 29 August 2026

Posted without readable text

9👍6custom 53889217214262996785🔥4

13 Aug 2026, 15:01 UTC≈1,060 views19 reactionsread 29 August 2026
Video

💼 Если позиция держится на фактах, суду важно быстро понять, как все работает в жизни Партнер Orchards и адвокат Азат Ахметов рассказал, как подготовиться к судебному выступлению, выстроить аргументацию и помочь суду понять позицию. В видео — как личные детали усиливают доводы и почему их не стоит бояться в процессе. Полная запись вебинара — в VK и YouTube.

custom 538892172142629967886👍4🔥1

11 Aug 2026, 15:10 UTC≈1,070 views26 reactionsread 29 August 2026
Photo

💼 Когда нужно быстро разобраться в правовом вопросе, время уходит на поиск норм, проверку практики и формулировку выводов А решение все равно остается за юристом: оценить риски, выбрать позицию и защитить ее перед бизнесом или судом. ПравоКонсультант помогает быстрее перейти от описания ситуации к юридическому заключению: собирает выводы, аргументы, ссылки на нормы и судебную практику. ➡️ Что еще умеет сервис — в

10👍8custom 53889217214262996788

10 Aug 2026, 11:03 UTC≈1,220 views19 reactionsread 29 August 2026
Photo

⚡️Открыт прием заявок на премию «Цифровой юрист года» Право.ru запускает второй сезон премии для in-house юристов и GR-специалистов в сфере цифрового права. В программе — 10 командных и 5 личных номинаций. Если у вас несколько проектов, подайте заявки сразу в несколько из них. Награждение пройдет 29 октября на Форуме ЦифраПрава. ➡️ Отправьте анкету до 30 сентября: [email protected]

7custom 53889217214262996787👍5

7 Aug 2026, 14:40 UTC≈1,070 views24 reactionsread 29 August 2026
Video

«Сначала ты учишься считать метрики, потом на основании этих метрик принимаешь решения» Автоматизация не начинается с выбора инструмента. Сначала команда смотрит на данные: какие процессы повторяются чаще, сколько задач создают и где изменения дадут реальный эффект. Почему метрики помогают не автоматизировать все подряд, а выбирать процессы осознанно ➡️ в полном выпуске

9custom 53889217214262996788👍7

6 Aug 2026, 09:31 UTC≈1,050 views25 reactionsread 29 August 2026
Photo

Отпуск — это выбор отеля по скорости интернета, ноутбук в чемодан «на всякий случай» и срочное заключение перед посадкой в самолет. Узнали себя? В #блог практикующие юристы поделились лайфхаками, как перестать работать на отдыхе. ➡️ Читать

9custom 53889217214262996787🔥5👍4

Showing the 12 most recent of 20 posts we hold for @pravotech. 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 6 registered channels — 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Поворот на Право
@povorotnapravo · 50,866
Telegram ranks this channel #23 of 87 here — alongside 86 others — read 25 August 2026
Судебная практика СКЭС ВС РФ
@vs_court · 55,774
Telegram ranks this channel #24 of 88 here — alongside 87 others — read 23 August 2026
Право.ru
@pravo_pravo · 57,566
Telegram ranks this channel #36 of 90 here — alongside 89 others — read 23 August 2026
КонсультантПлюс
@consultant_plus · 45,337
Telegram ranks this channel #46 of 92 here — alongside 91 others — read 27 August 2026
ЛИЧНЫЕ НАЛОГИ
@persontaxes · 31,614
Telegram ranks this channel #51 of 91 here — alongside 90 others — read 6 September 2026
Юстиграм
@yustigram · 30,856
Telegram ranks this channel #69 of 83 here — alongside 82 others — read 6 September 2026
Юридическая консультация Геннадия Ефремова
@sovetiadvokata · 47,070
Telegram ranks this channel #73 of 81 here — alongside 80 others — read 2 September 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“ПравоТех” (@pravotech), 10,434 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/pravotech.

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.