Telegram RegisterThe public register of Telegram

Channel

ThomasMore | AI для юристов

@thomasmoreai

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

50subscribers

+2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003710494837
TypeChannel
Username@thomasmoreai
DescriptionAI поиск по базе решений арбитражных судов и ВС РФ по корпоративному праву. Основатель - А. Тонян, ex-Freshfields Bruckhaus Deringer LLP Что вы найдёте на канале: - Честные разборы об использовании AI юристами. - Личный опыт и практичные инструменты
CreatedBetween 1 February 2026 and 9 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live10 August 2026
Measurements held3
On Telegramt.me/thomasmoreai

Growth

4850496 August 2026 — 48 subscribers7 August 2026 — 50 subscribers10 August 2026 — 50 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net +2. 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 48–50 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 11:3050no change
7 Aug 2026, 06:3750+2
6 Aug 2026, 07:1948first reading

Engagement

20 posts held, back to 9 May 2026the 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.

ERR · 30 days
796.2%
avg views ÷ 50 subscribers
Avg views / post
398
10 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
14
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 6 August 2026
Posts held20 (9 May 20266 August 2026)
Views total3,981
Reactions total44
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 11:30 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
2
Videos
3
Links
11

Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
3m 02s
Average length
1m 31s

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

55 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 72.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4072.7%
👏712.7%
🔥610.9%
23.64%

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 13 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 55reactions 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 9 May 2026 to 6 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

6 Aug 2026, 16:31 UTC28 views3 reactionsread 10 August 2026
Photo

Как юрфирмам структурировать базу знаний для AI Написал подробный разбор о том, почему юрфирмам необходимо структурировать свои базы знаний (knowledge base), что происходит с запросом к AI, если документы не структурированы, и что юрфирма получит, если сделает скучную работу по систематизации и тегированию своей базы знаний. Читать полностью → [здесь]

👍2🔥1

4 Aug 2026, 14:43 UTC47 views6 reactionsread 10 August 2026

Кто ведёт этот канал Меня зовут Араик Тонян. 22 года я так или иначе рядом с правом - от юрфака МГУ до практики в Freshfields и собственных арбитражных споров в бизнесе. Подробнее о том, как я пришёл к идее ThomasMore, - в посте Что такое ThomasMore AI-поиск по практике арбитражных судов РФ. Не общий чат-бот, который предсказывает правдоподобный текст, а инструмент, привязанный к реальной базе судебных решений - к

👍51

3 Aug 2026, 10:27 UTCviews —

ThomasMore | AI для юристов pinned «22 года в праве - и вот что я понял про рутину 🎓 5 лет на юрфаке МГУ, 8 лет в юридической практике. Остальное - в бизнесе, где тоже приходится вести дела, включая личные споры в арбитражных судах. За это время я понял главное: юридическая работа на 70-80%…»

1 Aug 2026, 07:46 UTC677 views6 reactionsread 10 August 2026

В Делавэре хотят создать компании, которыми управляет не человек, а AI-агент Отличная новость в развитие агентских систем. Делавэр - штат, где зарегистрировано больше половины публичных компаний США - предложил новый тип юрлица: Artificial Intelligence Company (AIC). Компания, в которой повседневную деятельность ведёт AI-агент, а не человек-менеджер: заключает контракты, платит поставщикам, ведёт операционную рабо

👍5🔥1

30 Jul 2026, 14:40 UTC≈2,910 views4 reactionsread 10 August 2026

Большинство юристов используют ИИ неправильно - и вот к чему это приводит Когда говорят "я использую ИИ в работе", чаще всего имеют в виду одно: открыть ChatGPT или Claude и задать вопрос напрямую. Быстро, удобно, бесплатно или почти бесплатно. Проблема в том, откуда эти модели вообще берут "юридические знания". Всего два источника: ⚖️ Веса модели - то, чему она научилась на юридических материалах, спарсенных из

👍4

27 Jul 2026, 09:52 UTC57 views5 reactionsread 10 August 2026

Пока какие-то юрфирмы решают, каких legal AI вендоров использовать, Clifford Chance тихо решала более скучную, но фундаментальную задачу. Фирма вместе с Epiq Advisory for Law Firms и Microsoft построила свою базу знаний для AI: 400 000 документов, систематизированных, с метаданными, доступных через поиск, с полным соблюдением конфиденциальности клиентов. Юрфирма: 💡взяла свою базу документов, собранных за десятилети

🔥41

24 Jul 2026, 17:02 UTC61 views4 reactionsread 10 August 2026

Обновили аватарку канала. Это часть визуального обновления ThomasMore. Не теряйте нас 🔵

👍4

23 Jul 2026, 13:43 UTC68 views4 reactionsread 10 August 2026

Big Law идёт напрямую к разработчикам моделей Пять сделок за год, один паттерн: Orrick x OpenAI, Dentons x OpenAI, Freshfields x Anthropic, Kirkland & Ellis x Palantir, теперь Willkie x OpenAI. Логика везде одна: доступ к моделям раньше публичного релиза, свои инструменты вместо чужой платформы, сигнал клиентам, что фирма впереди. ✔️Freshfields x Anthropic - Claude во всех 33 офисах, +500% использования за 6 недел

👍4

21 Jul 2026, 11:47 UTC53 views3 reactionsread 10 August 2026

Илон Маск в X согласился с утверждением, что браузеры, сайты и софт в привычном виде исчезнут. Я абсолютно согласен с этим. Я лично выполняю 90% личных и рабочих задач с помощью ИИ агентов. Я не ищу уже материалы в Яндексе и Гугле, не составляю сам документы и договоры, не делаю первичный анализ, не пишу код, не перевожу документы. Я использую агентов для всего этого. Я только вручную делаю работу, которую не может

👏3

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

Citation-graph rank — 236,000 of 1,160,990entries 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.

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 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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“ThomasMore | AI для юристов” (@thomasmoreai), 50 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/thomasmoreai.

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.