Harvey
@harvey · joined 15 Mar 2023
AI for the world’s most complex legal work.
20 018Followers
3Following
512Posts total
4.4MViews on collected posts
Latest posts
Looking for new posts…
GPT-6 Astra is OpenAI’s latest model.
In our early testing, it showed substantial quality improvements over GPT-5.6 Sol, especially in practice areas like capital markets, corporate M&A, and data privacy.
GPT-6 Astra will soon be available to Harvey customers. https://t.co/QkXV
2K views · 51 likes
· 3 reposts · 0 replies
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We're partnering with @everlaw to bring evidence from litigation and investigations directly into Harvey.
Our MCP integration lets users query the Everlaw record from Harvey, with answers cited back to source documents.
Coming soon to joint Harvey and Everlaw customers. https:/
2.5K views · 41 likes
· 4 reposts · 2 replies
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@harvey the part i'd point every team at: you built the benchmark before you picked the architecture. most companies do it in the other order and then argue about which demo felt better.
51 views · 0 likes
· 0 reposts · 0 replies
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@harvey Splitting the review into rule-specific agents under one orchestrator is exactly how you keep contract review reliable instead of one model holding the whole playbook in its head.
223 views · 1 likes
· 0 reposts · 0 replies
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We built a multi-agent system to help in-house lawyers run contract negotiations.
In-house legal teams review thousands of contracts, including sales agreements, vendor agreements, NDAs and DPAs. These contracts are not standardized, can contain terms with substantial business h
28.1K views · 215 likes
· 20 reposts · 12 replies
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Now available in Harvey: Fable 5.1.
In our early testing, Fable 5.1 was strongest on document-heavy analysis, improving substantially on litigation and dispute resolution compared to Fable 5.
Fable 5.1 is available in Harvey on an opt-in basis. https://t.co/pFLsiApOzC
4.6K views · 60 likes
· 2 reposts · 4 replies
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Introducing Horizon Scanning.
Legal teams spend days tracking regulatory changes that could affect their clients, firm, or business.
With Horizon Scanning, Harvey monitors 12,000+ sources across 100+ jurisdictions and surfaces updates with impact and risk assessment. https://t.
18.6K views · 171 likes
· 10 reposts · 6 replies
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GE Aerospace has deployed Harvey across its Legal & Compliance organization.
@GE_Aerospace also serves as a design partner for Contract Intelligence, helping shape the product to accelerate reviews, strengthen negotiations, and surface insights across contract portfolios. https:
1.8K views · 22 likes
· 2 reposts · 1 replies
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@harvey @FireworksAI_HQ I have always believed that specialist small models are the way to go. Underexplored.
3.7K views · 25 likes
· 0 reposts · 0 replies
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@harvey @FireworksAI_HQ Why is this not called ‘Mike’
9.6K views · 125 likes
· 1 reposts · 7 replies
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Introducing Tenet, our first model post-trained for legal.
Tenet is a Kimi K3 base that we post-trained with @FireworksAI_HQ on a corpus of publicly available legal data, synthetic data, and human expert data simulating long-horizon legal work.
Training increases Tenet's
3.5M views · 3.1K likes
· 282 reposts · 123 replies
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Against accounts of the same size
15 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views3 749this account924median for 10K–100K
Reach, %18.73%this account3.62%median for 10K–100K
Engagement, %0.89%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 3 749 | 924 | 4.06× |
| Reach (views ÷ followers) | 18.73% | 3.62% | 5.17× |
| Engagement rate | 0.89% | 1.52% | 0.58× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
3.5M20 Aug
9.6K
3.7K
1.1K21 Aug
1.8K1 Sep
18.6K
4.6K
25.5K2 Sep
28.1K
176
223
51
2.5K3 Sep
2K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.10%20 Aug
1.38%
0.67%
2.77%21 Aug
1.37%1 Sep
1.01%
1.46%
0.35%2 Sep
0.89%
0.57%
0.45%
0.00%
1.87%3 Sep
2.75%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes48.3%4 507 in total
Reposts4.8%449 in total
Replies2.1%200 in total
Quotes2.0%190 in total
Bookmarks42.7%3 989 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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