Про нейросети, понятность, юридический бизнес и жизненные наблюдения.
Автор: Павел Мищенко, партнер юридической фирмы @runetlex
Реестр РКН
https://gosuslugi.ru/snet/67ac9a70be63a80aa9a93832
Рекламы нет.
Остальное к @chevychelova
Created
2 April 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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 the other topics.
Growth
59 measurements spanning 97 days, net -37. 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 19,290–19,357 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
11 Nov 2026, 02:56
19,312
-5
9 Nov 2026, 14:06
19,317
-2
8 Nov 2026, 07:59
19,319
-1
6 Nov 2026, 02:54
19,320
+7
4 Nov 2026, 23:29
19,313
+6
4 Nov 2026, 02:28
19,307
+4
3 Nov 2026, 04:55
19,303
-3
2 Nov 2026, 07:16
19,306
-7
1 Nov 2026, 09:26
19,313
+1
31 Oct 2026, 08:45
19,312
+3
30 Oct 2026, 11:36
19,309
-7
29 Oct 2026, 11:20
19,316
-5
27 Oct 2026, 12:09
19,321
+4
26 Oct 2026, 10:18
19,317
-6
25 Oct 2026, 07:40
19,323
-2
24 Oct 2026, 06:41
19,325
+2
23 Oct 2026, 03:19
19,323
-3
22 Oct 2026, 03:41
19,326
-6
20 Oct 2026, 21:56
19,332
+11
19 Oct 2026, 23:05
19,321
first reading
Engagement
89 posts held, back to 21 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 72 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.2%
avg views ÷ 19,312 subscribers
Avg views / post
2,740
28 posts measured
Reaction rate
1.28%
reactions ÷ views · ER floor
Posts in window
30
of 89 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
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
89 (21 July 2026 – 10 November 2026)
Views total
76,820
Reactions total
981
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 03:49 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
Photos
≈1,120
Videos
≈115
Links
≈1,310
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 15s
Average length
1m 08s
Measured directly from 2 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
3,066 reactions across 80 posts, in 5 distinct kinds. The most used accounts for 48.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,471
48.0%
😁
913
29.8%
👍
581
18.9%
😢
63
2.05%
🤔
38
1.24%
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 84 of the 89 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 3,193 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 21 July 2026 to 10 November 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
6
across the posts below
Posts paid on
2
of 84 we hold a reading for · 2%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ilovedocs. 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 89 most recent posts we hold for this entry, published 21 July 2026 to 10 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 16 of 30 posts held from the last 30 days (53.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Теперь про корпоративное использование.
Тут еще конь не валялся вообще. Все даже не началось.
Разница между эффектом личного использования и коллективного использования огромна. И большинство научились на каком-то уровне делать первое.
Ситуация немного похожа на то, что было 2 года назад с личным пользованием. Есть небольшой процент компаний и менеджеров, у кого начинает получаться внедрять в работу команды.
Осталь…
Итак, про развитие нейросетей.
Разделим пост на 2 части: личное и корпоративное использование.
Технологии вокруг нейросетей развиваются скачками. Сейчас этап некоторого затишья. Так было и прошлой осенью-зимой, пока не появились агенты.
Опытные пользователи-новаторы испытывают в этот момент некоторое ощущение стагнации. Нового ничего не потестировать. Какой-то ультра фичи нет. Как будто мир остановился.
На самом д…
Друзья, какие у вас сейчас ощущения на ноябрь 2026 от развития нейросетей? Замедлилось? Ускорилось? На стабильном уровне?
P.S. потом подробно опишу свое видение
ilovedocs pinned «Напоминаю, что через неделю у нас начинается 8 поток курса по нейросетям. Как всегда — есть новинки и отличия. На чем мы сосредоточились в этот раз: 1. Сжать программу до одного месяца, чтобы занятые люди смогли быстро освоить современные способы работы…»
Напоминаю, что через неделю у нас начинается 8 поток курса по нейросетям.
Как всегда — есть новинки и отличия. На чем мы сосредоточились в этот раз:
1. Сжать программу до одного месяца, чтобы занятые люди смогли быстро освоить современные способы работы с нейросетями.
2. Давать агентов сразу, вместе с основами. Агенты — новая норма, а не только для продвинутых пользователей.
3. Дать еще больше практики. Все через…
Сходил к коллегам на подкаст, поговорили про ИИ-правосудие.
Всего будет 2 части, в первой больше поговорили про использование, типовые ошибки и страхи.
Во второй будет более концептуальный разговор, с чем могут и с чем вряд ли смогут помочь нейросети в правосудии.
Провели большой тренинг в Казани для прекрасной команды юридического агентства Аргументъ
С 10 до 18 обсуждали все актуальные вопросы исполтзования нейросетей, потренировались создавать агентов и придумали дальнейшие сценарии развития нейросетевых инструментов для команды.
Спасибо за радушный прием и вовлеченность!
Вообще горячая пора, на этой неделе совокупно получится 6 корпоративных лекций/тренингов)
Если вам…
Спасибо всем, кто до сих пор пишет идеи/мысли/отзывы на вебинар про знания, которые я провел в прошлую пятницу.
Это очень ценно и наталкивает меня на новые мысли про развитие нейросетей и их внедрение. Обязательно ими поделюсь уже в ближайшее время.
Вебинар про знания и презентацию можно посмотреть в нашем боте.
Там же в течение 1-2 дней размещу еще одну запись, про связь оцифрованных знаний и независимости от бло…
Собрали в Рунетлексе свою базу для нейросетей по персональным данным: письма РКН, судебная практика и пр.
По запросу база выдаёт правовую справку с перечнем источников (при желании — в юрдизайне) и сами источники в MD. Можно проверить свои документы на соблюдение ПДн.
Нам нравится, теперь хотим проверить на широкой аудитории. Нужна обратная связь, насколько удобно, корректно и полно работает.
Для доступа — пишете …
Я думал самым рисковым проектом этого года была конференция, потому что там бюджет был ого-го-го.
Но если судить по степени непредсказуемости и неизведанности, то это точно бенчмарк. Потому что если конфу из нашей команды уже делали, и опыт имелся, то бенч для всех терра инкогнита. Нарабатываем знания с нуля.
В работе на разных этапах задействовано больше 70 человек.
Даже продумывание плана и запасных вариантов не …
«Тема ИИ — это хайп.»
«Вокруг ИИ есть финансовый пузырь»
Эти фразы я слышу почти каждую неделю.
Да, хайп. Да, пузырь есть. Да, он конечно же лопнет. Ну и?)
После лопнувшего пузыря доткомов интернет закончился?)
Нет, интернет спустя 20 лет после пузыря стал такой же неотъемлемой технологией для мира, как электричество.
А после ипотечного пузыря строить жилье перестали? Больше нет ипотеки? Тоже нет.
Пузыри будут н…
🔥37👍20
Showing the 12 most recent of 89 posts we hold for @ilovedocs. 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
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 23 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 2 October 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Private Law Library | PLL Право @privlawlib · 34,339 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 4 September 2026
Loader from SVO @loaderfromSVO · 40,420 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 30 August 2026
Доктор Права @doktorprava · 20,819 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 25 September 2026
Поворот на Право @povorotnapravo · 50,665 Telegram ranks this channel #4 of 87 here — alongside 86 others — read 25 August 2026
Корпоративные споры • Case by Case @corplawpro · 23,635 Telegram ranks this channel #6 of 91 here — alongside 90 others — read 18 September 2026
Право.ru @pravo_pravo · 57,928 Telegram ranks this channel #7 of 90 here — alongside 89 others — read 23 August 2026
KALOY.RU @akaloy · 53,512 Telegram ranks this channel #9 of 87 here — alongside 86 others — read 24 August 2026
Privacy Advocates @prv_adv · 21,842 Telegram ranks this channel #13 of 98 here — alongside 97 others — read 22 September 2026
Юстиграм @yustigram · 30,755 Telegram ranks this channel #15 of 83 here — alongside 82 others — read 6 September 2026
Библиотека юриста @library_lawyer · 25,752 Telegram ranks this channel #17 of 82 here — alongside 81 others — read 14 September 2026
РУЛЬФЫ, ИЛЬФЫ И ИНХАУСЫ @LawFirms · 21,680 Telegram ranks this channel #18 of 93 here — alongside 92 others — read 23 September 2026
СУДЕБНАЯ ПРАКТИКА IP и IT @sudpraktik_IPIT_demo · 22,978 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 19 September 2026
Юридические вакансии @legal_jobs · 36,222 Telegram ranks this channel #31 of 89 here — alongside 88 others — read 2 September 2026
Клуб правообладателей @bchlaw · 27,121 Telegram ranks this channel #34 of 91 here — alongside 90 others — read 13 September 2026
ФАС России | FAS Russia @fasrussia · 33,616 Telegram ranks this channel #35 of 95 here — alongside 94 others — read 4 September 2026
Мы́тарь @mytar_rf · 27,353 Telegram ranks this channel #39 of 89 here — alongside 88 others — read 10 September 2026
Судебная практика СКЭС ВС РФ @vs_court · 56,527 Telegram ranks this channel #39 of 88 here — alongside 87 others — read 23 August 2026
КонсультантПлюс @consultant_plus · 45,027 Telegram ranks this channel #44 of 92 here — alongside 91 others — read 27 August 2026
Субсидиарная ответственность • Case by Case @subsidiarka_kdl · 21,090 Telegram ranks this channel #45 of 88 here — alongside 87 others — read 25 September 2026
Дмитрий Мирончук | Закон и право @ruslaw · 25,202 Telegram ranks this channel #51 of 86 here — alongside 85 others — read 14 September 2026
Налоговые споры @nalogi_sud · 23,344 Telegram ranks this channel #67 of 92 here — alongside 91 others — read 18 September 2026
Судебная практика по банкротству @sudpraktik_bankrot_demo · 26,806 Telegram ranks this channel #79 of 85 here — alongside 84 others — read 11 September 2026
PRO Семейные права @prosemuy · 20,265 Telegram ranks this channel #81 of 82 here — alongside 81 others — read 28 September 2026
ЮРИСПРУДЕНЦИЯ @yrisprudencia · 23,569 Telegram ranks this channel #83 of 86 here — alongside 85 others — read 17 September 2026
This channel appears in 26 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“ilovedocs” (@ilovedocs), 19,312 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ilovedocs.
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.