👩💻Контроль человека над ИИ-агентами становится ритуалом. Специалисты HuggingFace предупреждают: рост автономности ИИ-агентов не просто усложняет контроль со стороны человека, а постепенно делает его неэффективным. Человек формально остаётся в процессе — ему показывают план и просят нажать «одобрить», но это всё чаще превращается в ритуал: пользователь быстро пролистывает, кликает и идёт дальше. Агент уже сам реша…

Channel
LegalTech
@Lgltech
On this record: Topic · Growth · Engagement · What this channel posts · Stars · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry
15,431subscribers
-25 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 | -1001246592084 |
|---|---|
| Type | Channel |
| Username | @Lgltech |
| Created | 10 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/Lgltech |
Topic
Technology — 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 99% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 06:00 | 15,431 | -9 |
| 19 Sept 2026, 07:18 | 15,440 | -1 |
| 16 Sept 2026, 23:58 | 15,441 | +2 |
| 15 Sept 2026, 04:59 | 15,439 | -4 |
| 13 Sept 2026, 10:37 | 15,443 | -3 |
| 11 Sept 2026, 11:59 | 15,446 | -7 |
| 8 Sept 2026, 22:01 | 15,453 | -1 |
| 5 Sept 2026, 14:21 | 15,454 | +9 |
| 3 Sept 2026, 13:01 | 15,445 | -5 |
| 2 Sept 2026, 09:03 | 15,450 | -1 |
| 1 Sept 2026, 06:14 | 15,451 | -5 |
| 31 Aug 2026, 02:52 | 15,456 | -1 |
| 30 Aug 2026, 05:13 | 15,457 | -2 |
| 29 Aug 2026, 06:18 | 15,459 | -4 |
| 28 Aug 2026, 06:16 | 15,463 | -1 |
| 27 Aug 2026, 08:08 | 15,464 | -6 |
| 26 Aug 2026, 08:57 | 15,470 | -3 |
| 25 Aug 2026, 07:54 | 15,473 | -3 |
| 24 Aug 2026, 07:58 | 15,476 | +1 |
| 22 Aug 2026, 13:36 | 15,475 | first reading |
Engagement
42 posts held, back to 9 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 57 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.68%
- avg views ÷ 15,431 subscribers
- Avg views / post
- 876
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- of 42 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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 42 (9 July 2026 – 2 September 2026) |
| Views total | 5,257 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:45 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
- 43s
- Average length
- 22s
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.
Telegram Stars
- Stars received
- 2
- across the posts below
- Posts paid on
- 1
- of 42 we hold a reading for · 2%
- Most on one post
- 2
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Lgltech. 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 42 most recent posts we hold for this entry, published 9 July 2026 to 2 September 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.
Advertising
- Ad load
- 2.38%
- 1 of 42 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 1,110
- over 1 measured post
- Median views · rest
- 1,490
- over 41 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| CQH36pWzJqDgH9TeiMoGoqpoCiHKdtBYHPzgTeiz2tfKFS | 1 | 27 August 2026 | 27 August 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 42 most recent posts we hold, published 9 July 2026 to 2 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
🎉 Уважаемые коллеги! 🐱 Ранее мы уже знакомили вас с нашей разработкой - корпоративной системой управления файлами и папками (eDMS) FileMaster. Теперь хотим сделать акцент на новом функционале, значительно расширившем возможности FileMaster. 9 сентября в 10:00 приглашаем всех, кто работает с большим объёмом документов, на практический семинар, где в режиме реального времени директор по информационным технологиям ККМ…
💻 Минцифры не поддержало ретроспективные выплаты за обучение ИИ. Минцифры не поддержало предложенные «в представленной редакции» поправки в закон о развитии ИИ, по которому разработчики должны были бы выплатить правообладателям ретроспективное вознаграждение за использование объектов авторского права для обучения нейросетей. Несмотря на то что, инициатива была доработана, основные вопросы, которые ранее возникали у…
Раньше договорный процесс вела команда из 10–15 юристов. В AI-native юрдепе с этим справляется один человек. Не потому, что нашли волшебный промпт, а потому, что поменяли саму операционную модель: как распределены роли, какие данные доступны AI, где заканчиваются его полномочия и начинается зона ответственности юриста. Алексей Никифоров (основатель Академии юридического менеджмента) и Кирилл Буряков (Doczilla) пока…
⚖️Суд оштрафовал россиянина за сгенерированную ИИ судебную практику. Суд по интеллектуальным правам оштрафовал индивидуального предпринимателя Александра Антропова из Воткинска за предоставление сгенерированной нейросетью несуществующей судебной практики. «Суд установил, что часть из приведенных предпринимателем в тексте кассационной жалобы 12 ссылок на судебную практику, в том числе одна якобы на правовую позицию,…
🇦🇺Австралийский преподаватель выиграл суд полагаясь на ИИ. Грегори Бейкер преподаватель из Австралии выиграл судебное дело против своего университета, используя исключительно искусственный интеллект в качестве своей юридической поддержки. Бейкер, который работал на условиях временного контракта, обратился к университету с просьбой перевести его на постоянный контракт. Однако университет отказал ему, и тогда он реш…
Нейроюрист теперь работает прямо в Microsoft Word Больше не нужно переключаться между вкладками, переносить фрагменты текста туда-обратно и вручную вносить правки из чата в файл. Нейроюрист поможет работать над документом там, где вы его уже редактируете — внутри файла. Что можно делать, не выходя из Word: • Задавать вопросы по файлу— например, попросить кратко объяснить суть соглашения или собрать все сроки и ш…
🤖ИИ-агенты OpenAI скоординировали между собой атаку. OpenAI тестировала несколько моделей в специальных средах для оценки кибервозможностей. Основную активность компания связывает с внутренней исследовательской моделью IM1, которая не предназначалась для выпуска. В испытаниях участвовала и GPT-5.6 Sol. Агенты обошли ограничения изолированных сред, получили доступ в интернет и добрались до сторонних систем. По данн…
💻Google выпустил ИИ агента для юристов. Google выпустил Gemini Enterprise for Legal, специализированного агента для юридических компаний и внутренних юридических департаментов. Продукт включает в себя: юридические «навыки» работы с правилами и шаблонами, защищённые подключения к данным, ИИ-агентов для выполнения задач и партнёрскую экосистему для внедрения. Центральное управление должно обеспечивать аудит действий…
💻Корпоративные клиенты предпочитают более слабые модели ИИ. Корпоративные клиенты Anthropic в США массово отказываются от флагманской модели Fable 5 в пользу более дешёвых альтернатив. Данные о расходах 70 000 компаний, собранные платёжным сервисом Ramp Financial, показывают, что спрос на Fable 5 практически перестал расти. Это нарушило сложившуюся тенденцию, при которой корпоративные клиенты предпочитали наиболее …
🇺🇸Конгресс США не справляется с законопроектами, написанными ИИ. Число законодательных запросов в Офис законодательного советника (Office of Legislative Counsel) Палаты представителей США за первые 60 дней нового созыва получило 5623 запроса — на 72% больше, чем за аналогичный период двумя годами ранее. Причина — массовое использование нейросетей вроде ChatGPT и Claude конгрессменами и лоббистами для подготовки зако…
💻Компания ABC Legal превратила каждого сотрудника в создателя агента. Брэндон Фуллер, технический директор ABC Legal, американской компании по доставке юридических документов, в начале этого года внедрил Claude Enterprise для 1100 сотрудников компании. Каждый отдел (отдел вручения судебных документов, отдел электронной подачи документов, отдел PR, а также маркетинг, комплаенс, финансы и другие) начали самостоятельн…
Showing the 12 most recent of 42 posts we hold for @Lgltech. 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.
@lawprof · 233 postsDAO LAW право в Web3 и метавселенной
@DAOLAW · 112 postsНОВОСТИ 📰
@russica2 · 745,2752 postsITCUBE
@PROITCUBE · 971 postВСЕВЕДА🕊
@VseWeda · 13,1281 postBig Belt Consult (экс-Юридический Китай)
@bigbeltconsult · 2441 postForensic Today
@forensictoday · 1881 postАдвокат будущего. Канал о будущем (и) юриспруденции
@lawyer_future · 6291 postЦифровой нотариат
@notariat_digital · 341 post
Republishes
Channels on the register whose posts this channel has forwarded.
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 10 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.
@ipquorum · 10,5543 postsМожет, вам повезет?
@exporthedata · 1,8811 postПравовой караульный/ Новости права
@karaul_law · 7,4171 postКС РФ. Центр Конституционного Правосудия (ЦКП)
@KS_RF_law · 7,3181 postПроцессуальные чтения
@procedural_reading · 4521 postСудный день Кубань/ Правовые новости Краснодара и края
@sdkyban · 7251 postСудный день Волгоград/ Правовые новости
@sdvlg · 5201 postУголок Правовой Словесности
@upslegal · 6111 postВСЕВЕДА🕊
@VseWeda · 13,1281 postYURBUREAU
@yurbureau · 2341 post
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.
@doktorprava · 20,941
Telegram ranks this channel #18 of 86 here — alongside 85 others — read 25 September 2026
@prv_adv · 21,918
Telegram ranks this channel #18 of 98 here — alongside 97 others — read 22 September 2026
@sudpraktik_IPIT_demo · 22,966
Telegram ranks this channel #20 of 89 here — alongside 88 others — read 19 September 2026
@library_lawyer · 25,605
Telegram ranks this channel #21 of 82 here — alongside 81 others — read 14 September 2026
@povorotnapravo · 50,806
Telegram ranks this channel #21 of 87 here — alongside 86 others — read 25 August 2026
@privlawlib · 33,339
Telegram ranks this channel #24 of 88 here — alongside 87 others — read 4 September 2026
@yustigram · 30,864
Telegram ranks this channel #49 of 83 here — alongside 82 others — read 6 September 2026
@corplawpro · 23,596
Telegram ranks this channel #55 of 91 here — alongside 90 others — read 18 September 2026
@ruslaw · 25,361
Telegram ranks this channel #56 of 86 here — alongside 85 others — read 14 September 2026
@PeopleIsLawyer · 23,756
Telegram ranks this channel #59 of 84 here — alongside 83 others — read 17 September 2026
@ksrf_ru · 28,083
Telegram ranks this channel #66 of 85 here — alongside 84 others — read 10 September 2026
@persontaxes · 31,488
Telegram ranks this channel #66 of 91 here — alongside 90 others — read 6 September 2026
@subsidiarka_kdl · 21,000
Telegram ranks this channel #73 of 88 here — alongside 87 others — read 25 September 2026
@mytar_rf · 27,487
Telegram ranks this channel #74 of 89 here — alongside 88 others — read 10 September 2026
@vs_court · 56,204
Telegram ranks this channel #78 of 88 here — alongside 87 others — read 23 August 2026
@pravo_pravo · 57,676
Telegram ranks this channel #79 of 90 here — alongside 89 others — read 23 August 2026
@nalogi_sud · 23,385
Telegram ranks this channel #82 of 92 here — alongside 91 others — read 18 September 2026
@sudpraktik_bankrot_demo · 26,868
Telegram ranks this channel #83 of 85 here — alongside 84 others — read 11 September 2026
@sudpraktik_trud · 26,893
Telegram ranks this channel #88 of 88 here — alongside 87 others — read 11 September 2026
@ep_uc · 21,240
Telegram ranks this channel #93 of 97 here — alongside 96 others — read 24 September 2026
This channel appears in 20 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“LegalTech” (@Lgltech), 15,431 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/Lgltech.
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.