Thomson Reuters engagement report
@thomsonreuters - 150K followers on X
Measured over 25 original posts from a 30-day window, last computed on September 25, 2026.
Engagement
A typical post picks up 3 interactions against 150K followers, an engagement rate of 0.002%. Measured over 25 original posts, its engagement rate beats 7% of 19,933 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.7K times each, and 0.179% of those impressions turn into an interaction. That is about 1.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 96% carry an image or video and 72% link out. The account's strongest tracked post pulled 74 interactions, about 25x its own typical post. Recurring topics include #iltacon2026, #thecoco, #iltacon.
Measured over 25 original posts from a 30-day window, last computed on September 25, 2026. Recurring tags: #iltacon2026, #thecoco, #iltacon.
Compared with accounts its own size
Thomson Reuters's engagement rate beats 7% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 10% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.002%, Thomson Reuters sits below the 10th percentile of the 200,465 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.141% |
| 75th percentile | 0.67% |
| 90th percentile | 2.53% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 13:00 UTC, and Wednesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 96% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 72% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 96% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 72% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 540 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Aug 24, 202625x their median
Today at #ILTACON2026, the largest legal technology conference globally, we launched Thomson, our first proprietary large language model, built in-house, and fully owned and controlled by Thomson Reuters. A few lines from today's announcement that stuck with us: “Thomson proves what’s possible when you build AI on decades of proprietary content and editorial expertise,” said Steve Hasker, CEO of Thomson Reuters. “That’s an advantage only Thomson Reuters has, and it shows in the results: our early evaluations put Thomson on par with the latest frontier models across a range of tasks. We’re putting it to work in CoCounsel Legal, with more capabilities and sovereign AI options to come. This is the bar we intend to keep raising.” This is Fiduciary-Grade AI™ in practice. The standard we set for AI built for professionals who cannot afford to be wrong. Thomson's first deployment is inside Tabular Analysis in CoCounsel Legal — exactly the kind of high-volume, structured document review where a purpose-built model's advantage shows up immediately. CoCounsel Legal remains multi-model by design, applying Thomson where it delivers the clearest advantage and other leading models elsewhere. Read the full announcement and register for our LinkedIn Live taking place on September 15th to learn more. 👇 - https://t.co/cGrG0HesUz #ThomsonAI #CoCounsel
- Sep 22, 20262.7x their median
Guessing is for people without 175 years of Thomson Reuters data behind them. The CoCo isn't one of those people. When being wrong won't do, trust CoCounsel. https://t.co/Q81kieTQZ0 #TheCoCo https://t.co/uI8suQhuNp
- Sep 17, 20262.7x their median
AI is everywhere. Fiduciary-Grade AI™ is different. Thomson Reuters is making trusted legal AI available in more of the places attorneys work with OpenAI. We're previewing a future CoCounsel Legal experience that brings trusted legal capabilities directly into ChatGPT Enterprise. Through a new Model Context Protocol connection, HighQ can now bring secure, permissioned matter context into the flow of work. For legal professionals, good enough is not good enough. They need AI they can trust, with the accuracy, context, and security their work requires. That is the opportunity behind this news: trusted capability that stays with the work, wherever it happens. Learn more here: https://t.co/aZUSsOUQ2G
- Sep 17, 20262.7x their median
We're proud to be a Gold Sponsor of the 2026 ACC Annual Meeting, the world's largest gathering of in-house legal professionals, October 4–7 in Boston. Experience the new CoCounsel Legal and discover what Fiduciary-Grade AI™ means for in-house legal work. 📍 Booth #511 📚 Step into The CoCo's Library, our meeting room in M2 #103, to meet with our product experts and see CoCounsel Legal in action 🔗 Learn more and explore our full ACC Annual Meeting presence: https://t.co/U8gni87Lei #ACCAM2026 #CoCounselLegal
- Sep 23, 20262.3x their median
New research from @BCG puts a spotlight on how Thomson Reuters is scaling AI adoption, and the results speak for themselves. Read the full whitepaper to see how we're putting people at the center of our AI transformation. 👇 https://t.co/FEmz4Dr8DF https://t.co/QoszygsQkf
- Sep 22, 20262.3x their median
Heading to the 2026 ACC Annual Meeting in Boston? Get a head start. Join us tomorrow for a look at how CoCounsel Legal moves in-house teams from problem to outcome with Fiduciary-Grade AI™: not just answers, but reasoning you can trust from Westlaw and Practical Law. In this quick 30-minute webinar, you'll discover: - How handing off work to CoCounsel Legal is like delegating to a trusted junior - Pioneering CoCounsel Legal uses from the Thomson Reuters General Counsel Office - Real results from in-house teams already using CoCounsel Legal Save your seat: https://t.co/MLoWnr37BC Then meet us in Boston at the 2026 ACC Annual Meeting. We'll be at Booth 511, ready to show you more. #ACCAM26 #CoCounselLegal
- Sep 21, 20262.3x their median
"It is rarely, if ever, a technology problem. It's a behavioral question." Jared Podnos, VP of Partnerships & Alliances for Legal Professionals at Thomson Reuters, joins April Brousseau, Director at Harbor, at #ILTACON to talk about how firms cut through a crowded AI vendor marketplace. Harbor's answer: it comes down to trust, and that's exactly where CoCounsel's legal corpus and Thomson Reuters' foundation fit into a firm's tech stack. #LegalAI #ThomsonReuters #CoCounsel #TRPartners
- Sep 18, 20262.3x their median
"Working with Thomson Reuters is more than just innovative products. Thomson Reuters has brought along a team that has pushed our legal department out of their comfort zone, but along with that has come cost savings, more knowledge, innovation, and the opportunities to expand what our legal team can manage in house." Learn more about how Albertsons Companies saved close to $2 million year to date in outside counsel spend through Legal Tracker. ⬇️ https://t.co/ws8yBZarAt
- Sep 15, 20262.3x their median
Disconnected workflows are one of the biggest barriers to AI adoption in audit. Client information gets exchanged in one system, managed in another, and analyzed in a third. This creates manual handoffs, duplicated effort, and lost context along the way. We're partnering with Suralink, the agentic platform trusted by 800,000+ users and 60% of the top 200 accounting firms, to help close that gap. Through a planned integration, Suralink's client collaboration and document exchange will connect directly with Engagement Manager. A separate integration will bring client provided information into CoCounsel Tax, Audit & Accounting. This will allow audit teams to move from client request to AI powered analysis without manually moving a single document. As a result, audit professionals will move from request to execution to analysis with more speed, more confidence, and none of the friction of switching systems. Learn more: https://t.co/xhZ7LcZKYV
- Jul 31, 20262.3x their median
How does an AI model built specifically for professional work stack up against the industry's most advanced general-purpose models? Today we're sharing the first answer.
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 3 interactions against 150K followers, an engagement rate of 0.002%. Measured over 25 original posts, its engagement rate beats 7% of 19,933 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.7K times each, and 0.179% of those impressions turn into an interaction. That is about 1.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 96% carry an image or video and 72% link out. The account's strongest tracked post pulled 74 interactions, about 25x its own typical post. Recurring topics include #iltacon2026, #thecoco, #iltacon.
- What is Thomson Reuters's engagement rate on X?
- Thomson Reuters (@thomsonreuters) has an engagement rate of 0.002%, based on the median interactions across 25 original posts from the last 30 days against 149,707 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, Thomson Reuters sits below the 10th percentile of the 200,465 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @thomsonreuters have real engagement?
- Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (19,933 accounts), which puts it in the bottom 10% for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @thomsonreuters post?
- Most posts go out around 13:00 UTC, and Wednesday is its busiest day, at roughly 0.97 posts per day across the measured window.