Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 48% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
15 measurements spanning 44 days, net +52. 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 6,261–6,333 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 10:59
6,325
+20
15 Sept 2026, 01:21
6,305
+1
11 Sept 2026, 14:59
6,304
+10
6 Sept 2026, 21:19
6,294
+8
2 Sept 2026, 06:53
6,286
+10
30 Aug 2026, 02:33
6,276
+7
26 Aug 2026, 21:12
6,269
-4
24 Aug 2026, 00:25
6,273
-8
20 Aug 2026, 18:47
6,281
+3
17 Aug 2026, 09:35
6,278
-2
13 Aug 2026, 15:57
6,280
+7
10 Aug 2026, 14:53
6,273
+1
7 Aug 2026, 04:16
6,272
-1
6 Aug 2026, 07:20
6,273
no change
6 Aug 2026, 07:19
6,273
first reading
Engagement
24 posts held, back to 22 July 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 9 pages of 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 24 posts for this entry, the most recent from 10 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
34s
Average length
34s
Measured directly from 1 video 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
295 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 61.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
181
61.4%
🔥
74
25.1%
🎉
20
6.78%
👍
16
5.42%
🤔
3
1.02%
😁
1
0.339%
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 19 of the 24 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 322 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 22 July 2026 to 10 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.
Telegram Stars
Stars received
9
across the posts below
Posts paid on
5
of 23 we hold a reading for · 22%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AlexeyNikiforov_Legalmanagement. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 24 most recent posts we hold for this entry, published 22 July 2026 to 10 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Нумерология — страшная вещь. Поэтому сегодня совершенно без оснований рад круглым цифрам в наших каналах:
в «Неюридическом бизнесе» у нас 500 подписчиков,
в «Академии юридического менеджмента» — 1000,
а в этом канале — вы сами видите.
Также, пользуясь случаем, хотел рассказать, что у нас есть база рассылок и
YouTube-канал (там тоже, кстати, сегодня круглая цифра - 100 подписчиков).
Почему я перечислил здесь все…
Один из самых больших кайфов руководителей и предпринимателей — это найти команду. И даже не команду, а людей, которые однажды соглашаются идти с тобой. С этого момента это уже наш общий путь.
Уже почти три года мы работаем с Ксенией. И у меня было совсем немного таких сотрудников... Нет, партнёров, с которыми можно говорить... Нет, с которыми хочется говорить о проекте многие часы — и всё с пользой.
Сегодня у Ксен…
Наконец, завершили съемки наших диалогов с партнерами у нашему курсу для юридического бизнеса.
Последняя беседа была с Андреем Корельским.
Делюсь фрагментом и прошу подсказать, проводите ли оперативки вы со своими командами?
Какие KPI вы встречали у юристов или в своей службе?
Как правило, это скорость операций, оценка работы клиентами, число или суммы чего-либо.
Давайте вспомним, как эти цифры у нас появляются.
Во-первых, иногда KPI придумывают наши предшественники. Иногда их спускают сверху или из отдела организационного развития и кадров. Иногда мы подсматриваем KPI у коллег по рынку и ставим себе такие же. И только в редких случаях…
Сначала был первый концерт, на котором ребята собрали 100+ гостей. Потом был второй, где гостей было еще больше. И что важно - "в чистую", без спонсоров. Конечно, все пошло на покрытие расходов мероприятия.
Любой предприниматель скажет "А зачем им это?". Потому что есть такая вещь как смысл. И ВГолос во многом помог его найти.
Причем не только ребятам, что на фото (никто из них не профессиональный музыкант), но и м…
Что стоило узнать в первые полгода руководства
Автор отзыва ниже пришла на курс не новичком. Она уже управляет людьми, использует модель Белбина и знает, каково собирать собственную управленческую систему по частям.
В лекциях Елены она узнала этапы, которые прошла сама, и «мины», на которых уже успела подорваться. Публикуем полный отзыв без купюр:
Елена, я послушала все записи лекций и на эмоциях не могу молчать! …
В одном из обзоров Legal Tech решений 2е место по распространённости после электронных систем работы с договорами занимали системы по управлению задачами.
Это и логично, поскольку без даже элементарной цифровой обработки всего, что делает команда, почти невозможно ни управлять, ни оптимизировать.
Сегодня я делюсь третьим сборником технологических решений, доступных на российском рынке. На этот раз — это 37 решений …
Есть у нас клуб Spectator. Периодически мы проводим закрытые встречи, обсуждаем наболевшие менеджерские темы.
Вчера радушно нас принял один из членов клуба у себя в гостях, и мы обсуждали AI. Только практика, только проблемы, только решения, только конкретика.
Что я вынес из вчерашней встречи? Делюсь с вами.
Чтобы AI системно проник в жизнь юридической службы (а не в виде теневого использования на личных машинах с…
Как уже писал, начал вести Youtube блог. Будут разные темы, сейчас делаю заметки по теме появления, изменения и умирания профессий. Все, конечно, на примере нашей. Так что подписывайтесь, этот контент будет только на Youtube.
Когда мы записывали занятие с Владиславом Овчинниковым, основателем группы «Совет», для нашей Мастерской юридического бизнеса, Влад сказал крутую мысль: большинство из нас не считает свою финансовую эффективность не потому, что не умеет, а потому, что боится узнать правду.
В последнее время это было точно применимо к моим личным финансам. Как и у многих из вас, наверное, мне недоставало смелости основательно посчита…
👍4❤2🤔1
Showing the 12 most recent of 24 posts we hold for @AlexeyNikiforov_Legalmanagement. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 24 most recent posts we hold, published 22 July 2026 to 10 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 12 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.
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.
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.
Юридические вакансии @legal_jobs · 35,621 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 2 September 2026
РУЛЬФЫ, ИЛЬФЫ И ИНХАУСЫ @LawFirms · 21,544 Telegram ranks this channel #13 of 93 here — alongside 92 others — read 23 September 2026
Private Law Library | PLL Право @privlawlib · 33,339 Telegram ranks this channel #17 of 88 here — alongside 87 others — read 4 September 2026
Loader from SVO @loaderfromSVO · 40,358 Telegram ranks this channel #37 of 88 here — alongside 87 others — read 30 August 2026
Корпоративные споры • Case by Case @corplawpro · 23,600 Telegram ranks this channel #41 of 91 here — alongside 90 others — read 18 September 2026
Человек | Закон | Право @chelzakon · 43,305 Telegram ranks this channel #46 of 69 here — alongside 68 others — read 29 August 2026
Судебная практика СКЭС ВС РФ @vs_court · 55,875 Telegram ranks this channel #51 of 88 here — alongside 87 others — read 23 August 2026
Право.ru @pravo_pravo · 57,605 Telegram ranks this channel #54 of 90 here — alongside 89 others — read 23 August 2026
ФАС России | FAS Russia @fasrussia · 33,808 Telegram ranks this channel #55 of 95 here — alongside 94 others — read 4 September 2026
СУДЕБНАЯ ПРАКТИКА IP и IT @sudpraktik_IPIT_demo · 22,966 Telegram ranks this channel #61 of 89 here — alongside 88 others — read 19 September 2026
Клуб правообладателей @bchlaw · 27,259 Telegram ranks this channel #71 of 91 here — alongside 90 others — read 13 September 2026
Privacy Advocates @prv_adv · 21,945 Telegram ranks this channel #75 of 98 here — alongside 97 others — read 22 September 2026
Юстиграм @yustigram · 30,882 Telegram ranks this channel #76 of 83 here — alongside 82 others — read 6 September 2026
ЮРИСПРУДЕНЦИЯ @yrisprudencia · 23,696 Telegram ranks this channel #77 of 86 here — alongside 85 others — read 17 September 2026
Дмитрий Мирончук | Закон и право @ruslaw · 25,373 Telegram ranks this channel #81 of 86 here — alongside 85 others — read 14 September 2026
KALOY.RU @akaloy · 53,269 Telegram ranks this channel #85 of 87 here — alongside 86 others — read 24 August 2026
Мы́тарь @mytar_rf · 27,508 Telegram ranks this channel #87 of 89 here — alongside 88 others — read 10 September 2026
This channel appears in 17 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Никифоров || Юридический менеджмент” (@AlexeyNikiforov_Legalmanagement), 6,325 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/AlexeyNikiforov_Legalmanagement.
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.