⚖️ وکیل کسبوکار و فضای مجازی
🎓 دکترای حقوق از دانشگاه شهید بهشتی
📚 تدریس، وکالت و مشاوره حقوقی در حوزههای: حقوق کسبوکار، ارز دیجیتال، جرایم سایبری، استارتاپ، IT و مالکیت فکری
رزرو وقت مشاوره:
https://snejatzadegan.com/consultation-with-lawyer/
Created
Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
2 measurements spanning 3 days. 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)
Subscribers
Change
10 Aug 2026, 12:16
49
no change
7 Aug 2026, 23:35
49
first reading
Engagement
7 posts held, back to 28 November 2025 — the 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
37.4%
avg views ÷ 49 subscribers
Avg views / post
18.3
3 posts measured
Reaction rate
7.14%
reactions ÷ views · ER floor
Posts in window
3
of 7 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. It is computed over the 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
7 (28 November 2025 – 6 August 2026)
Views total
55
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 12:16 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
100
Videos
10
Links
29
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
1m 19s
Average length
1m 19s
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
5 reactions across 3 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5
100.0%
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 3 of the 7 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 28 November 2025 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.
نشست اخیر در «عمارت وکیل» با موضوع «از پرامپت تا لایحه: کاربردهای هوش مصنوعی در وکالت»، فرصتی بود تا در فضایی صمیمانه، درباره کاربرد عملی این ابزارهای تحولآفرین در نگارش لوایح با همکاران و کارآموزان گرامی گفتگو کنیم.
حضور ارزشمند اساتید بزرگوارم، جناب آقای دکتر عباس شیخالاسلامی، دکتر محسن حسینی پویا و دکتر مجید شایگانفرد، غنای خاصی به این جلسه بخشید. دیدگاههای دقیق و تجربیات گرانقدر این عزیزان در تقاطعِ حقوق و…
درود؛
در روزی که گذشت اولین نشست ما در حوزه پرونده هایی با موضوع رمز ارز، نحوه های جلوگیری از پدید آمدن بزه دیدگی و روش های پیشگیری را بررسی و همچنین روند قضایی آن را نیز بررسی کردیم امیدواریم که این جلسات ادامه دار بوده و بتوانیم در این راستا آرمان خود که هم افزایی تخصصی میباشد را تحقق ببخشیم.
تسهیلگر: جناب آقای محمدرضا محمدزاده "کارآموز وکالت و دانشجوی ارشد حقوق مالی دانشگاه تهران"
تکنسین رمز ارز: آقای علی اصغر اس…
⚖️🤖 کارگاه عملی
«از پرامپت تا لایحه»
استفاده از هوش مصنوعی در وکالت دادگستری
👥 ویژه وکلا و کارآموزان وکالت
📋 سرفصلهای کارگاه:
1️⃣ اصول پرامپتنویسی صحیح و معرفی هوش مصنوعیهای قابل استفاده در ایران؛
2️⃣ بررسی مستندات پرونده و ارائه استراتژی؛
3️⃣ جستجوی قوانین، مقررات و نظریات مشورتی و ارزیابی حکمی–قانونی؛
4️⃣ ارزیابی / نگارش قرارداد با هوش مصنوعی؛
5️⃣ ارزیابی / نگارش دادخواست، لایحه و سایر اسناد قضایی؛
6️⃣ …
🔹گزارش تصویری نشست حقوقی با موضوع:
چرا قرارداد؟
... و به چه قیمتی؟
(نگاهی فلسفی، حقوقی و اقتصادی به قرارداد)
استاد مدعو:
👤دکتر هادی وحید (پژوهشگر وابسته دانشگاه پاریس-ساکلی- Paris-Saclay)
دبیر نشست:
👤دکتر علی فتوحی راد (وکیل دادگستری- عضو هیأت علمی دانشگاه)
📎نشست مذکور به همت کمیسیون آموزش و تحقیقات (گروه حقوق خصوصی) کانون وکلای دادگستری خراسان در تاریخ پنجشنبه ۲۴ اردیبهشت ماه ۱۴۰۵ در محل سالن جلسات کانون وکلای …
⚖️برگزاری کارگاه چالشهای حقوقی برای استارتاپها با همکاری مرکز نوآوری مریم و پارک علم و فناوری دانشگاه
این کارگاه با حضور دکتر سعید نجات زادگان وکیل حقوق کسب و کار و فضای مجازی و مشاور افتخار بنیاد در فناوریهای نوین در روز پنجشنبه 20 آذرماه، ساعت 15 در نمایشگاه هفته پژوهش و فناوری با هدف آشنایی بیشتر واحدهای فناور با حوزههای حقوقی کسب و کارها همراه با ذکر مثالهای متعدد و پاسخ به چالشهای حقوقی مهمترین مباحث ای…
🔆مرکر نوآوری و فناوری مریم در هفته پژوهش برگزار میکند:
🔰آشنایی با چالشهای حقوقی استارتاپها
🔰با حضور دکتر سعید نجات زادگان
وکیل حقوق کسب و کار و فضای مجازی
🗓زمان: پنجشنبه ۲۰ آذرماه، ساعت ۱۵ الی ۱۶
📍مکان: نمایشگاه بین المللی، محل کارگاههای سالن فردوسی
🌐لینک ثبتنام در ایوند:
https://evand.com/events/آشنایی-با-چالش-های-حقوقی-استارتاپ-ها-21704
‼️رویداد به صورت رایگان است‼️
#روابط_عمومی_بنیاد_حامیان_دانشگاه_فردوسی…
⚖پاسخ به چالشهای حقوقی دانشجویان دست اندرکار تشکیل استارتاپها
این کارگاه با حضور دکتر سعید نجات زادگان وکیل حقوق کسب و کار و فضای مجازی در روز پنجشنبه ۲۹ آبانماه، ساعت ۱۱ در اتاق جلسات مرکز نوآوری و فناوری مریم تشکیل شد.
آشنایی با حوزههای حقوقی کسب و کارها همراه با ذکر مثالهای متعدد و پاسخ به چالشهای حقوقی مهمترین مباحث این کارگاه را تشکیل میداد.
#روابط_عمومی_بنیاد_حامیان_دانشگاه_فردوسی
@bonyadfum
Showing the 7 most recent of 7 posts we hold for @snejatzadegan. 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
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
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.
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.
“💼 دکتر سعید نجاتزادگان” (@snejatzadegan), 49 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/snejatzadegan.
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.