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followers
13.3K
impressions
3.45M
likes
11.0K
comments
500
posts
234
engagement
0.333%
emv
$72.3K
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We partnered with @FireworksAI_HQ to train open-source models for legal. Here's what we found: 1) Hybrid legal agents can beat frontier models on quality and cost by routing selectively to a frontier advisor. We tested a hybrid setup where GLM 5.1 served as the primary worker, routing tasks to Opus 4.7 as an advisor when needed. GLM invoked Opus sparingly, just 0.83 times per task on average. The hybrid setup beat Opus on both quality and cost: 18% all-pass vs 14%, at $368 vs $954 across the same 100 tasks. 2) Post-training can push open models to frontier-level legal performance. On a 100-task slice of our Legal Agent Benchmark (LAB), SFT moved Kimi 2.6's all-pass rate from 11% to 15%, beating Opus' 14%. But the cost gap was even more striking: $84 vs $954 across the same 100 tasks, or ~11x cheaper. We're excited to continue working with @FireworksAI_HQ on the next generation of open-source legal agents.
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harvey
We partnered with @FireworksAI_HQ to train open-source models for legal. Here's what we found: 1) Hybrid legal agents can beat frontier models on quality and cost by routing selectively to a frontier advisor. We tested a hybrid setup where GLM 5.1 served as the primary worker, routing tasks to Opus 4.7 as an advisor when needed. GLM invoked Opus sparingly, just 0.83 times per task on average. The hybrid setup beat Opus on both quality and cost: 18% all-pass vs 14%, at $368 vs $954 across the same 100 tasks. 2) Post-training can push open models to frontier-level legal performance. On a 100-task slice of our Legal Agent Benchmark (LAB), SFT moved Kimi 2.6's all-pass rate from 11% to 15%, beating Opus' 14%. But the cost gap was even more striking: $84 vs $954 across the same 100 tasks, or ~11x cheaper. We're excited to continue working with @FireworksAI_HQ on the next generation of open-source legal agents.
Today we announced a brand partnership with Gabriel Macht. His portrayal of an elite attorney inspired a generation to pursue law. There’s no better partner to support Harvey’s brand growth and the launch of our official Instagram, @ askharvey.
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Today we announced a brand partnership with Gabriel Macht. His portrayal of an elite attorney inspired a generation to pursue law. There’s no better partner to support Harvey’s brand growth and the launch of our official Instagram, @ askharvey.

We are thrilled to announce our $300M Series E round at a $5B valuation. The round is co-led by Kleiner Perkins and Coatue, and includes Sequoia, GV, DST Global, Conviction, Elad Gil, the OpenAI Startup Fund, Elemental, SV Angel, Kris Fredrickson, and REV.

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We are thrilled to announce our $300M Series E round at a $5B valuation. The round is co-led by Kleiner Perkins and Coatue, and includes Sequoia, GV, DST Global, Conviction, Elad Gil, the OpenAI Startup Fund, Elemental, SV Angel, Kris Fredrickson, and REV.
Harvey has raised a $160M Series F, led by @a16z, with participation from @wndrco, @sequoia, @kleinerperkins, @conviction & @eladgil.
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Harvey has raised a $160M Series F, led by @a16z, with participation from @wndrco, @sequoia, @kleinerperkins, @conviction & @eladgil.
We're excited to celebrate Harvey's third anniversary, alongside some milestones we're proud of: - 500 customers in 54 countries - $100M ARR - 42% of the AmLaw 100 uses Harvey. Three years in, job's not finished.
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We're excited to celebrate Harvey's third anniversary, alongside some milestones we're proud of: - 500 customers in 54 countries - $100M ARR - 42% of the AmLaw 100 uses Harvey. Three years in, job's not finished.
The best legal teams aren't using AI to replace lawyers’ time. They're using AI to reclaim it for judgment, strategy, and collaboration. AI agents run the workflows. Lawyers drive the outcomes. Harvey is the platform where both happen. Today we announced new funding led by GIC and Sequoia to scale the agents our customers run on Harvey and expand the legal engineering teams that help them turn expertise into systems. Read more: https://t.co/hotheA8LFv
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The best legal teams aren't using AI to replace lawyers’ time. They're using AI to reclaim it for judgment, strategy, and collaboration. AI agents run the workflows. Lawyers drive the outcomes. Harvey is the platform where both happen. Today we announced new funding led by GIC and Sequoia to scale the agents our customers run on Harvey and expand the legal engineering teams that help them turn expertise into systems. Read more: https://t.co/hotheA8LFv
Heading into the long weekend like…
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Heading into the long weekend like…

Harvey is scaling quickly, and we’re expanding our team. 2025 highlights: - Used by 1000+ firms in 59+ countries - 500+ employees - $190M+ in ARR As we look ahead, Harvey is hiring for several high-impact roles. See our open roles here: t.co/ZQtzZBzUlm

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Harvey is scaling quickly, and we’re expanding our team. 2025 highlights: - Used by 1000+ firms in 59+ countries - 500+ employees - $190M+ in ARR As we look ahead, Harvey is hiring for several high-impact roles. See our open roles here: https://t.co/ZQtzZBzUlm
Anthropic announced at Enterprise Agents Day that Harvey is part of its MCP program. The new Harvey Claude connector gives professionals direct access to Harvey inside Claude and Claude Cowork. Agentic workflows are rapidly becoming real. We’re proud to be part of this launch and to bring Claude connectivity to our customers. Read more: https://t.co/q5WLdOKULr
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Anthropic announced at Enterprise Agents Day that Harvey is part of its MCP program. The new Harvey Claude connector gives professionals direct access to Harvey inside Claude and Claude Cowork. Agentic workflows are rapidly becoming real. We’re proud to be part of this launch and to bring Claude connectivity to our customers. Read more: https://t.co/q5WLdOKULr

How does a seasoned Supreme Court lawyer prepare for the biggest case of his life? Using Harvey. Read how Harvey supported @neal_katyal in refining his arguments before the Supreme Court and how we are bringing those tools to law schools with Harvey Moot: t.co/r3IIKiTwxV

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How does a seasoned Supreme Court lawyer prepare for the biggest case of his life? Using Harvey. Read how Harvey supported @neal_katyal in refining his arguments before the Supreme Court and how we are bringing those tools to law schools with Harvey Moot: https://t.co/r3IIKiTwxV
Last night, Harvey signed our 101st Am Law 200 firm, so we now serve the majority of Am Law 200 and 60+ of the Am Law 100 firms. Job's Not Finished.
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Last night, Harvey signed our 101st Am Law 200 firm, so we now serve the majority of Am Law 200 and 60+ of the Am Law 100 firms. Job's Not Finished.
Introducing Contract Intelligence. Contract agents take first pass on inbound contracts, apply your playbooks, and generate redlines. See how clauses and negotiated positions are trending across your business. Escalate what needs legal judgment, while agents handle the rest.
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Introducing Contract Intelligence. Contract agents take first pass on inbound contracts, apply your playbooks, and generate redlines. See how clauses and negotiated positions are trending across your business. Escalate what needs legal judgment, while agents handle the rest.
Announcing Harvey Agents that execute legal work end-to-end. They reason through problems and draft memos, presentations, and diligence reports ready for your review. Delegate the work. Own the judgment. Learn more: https://t.co/oylWVWZzAA
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Announcing Harvey Agents that execute legal work end-to-end. They reason through problems and draft memos, presentations, and diligence reports ready for your review. Delegate the work. Own the judgment. Learn more: https://t.co/oylWVWZzAA
We're partnering with @trajectorylabs to bring sovereign continual learning to legal AI with NVIDIA Nemotron models. Continual learning allows agents to improve over time from feedback on their work: every redline refines the next draft. Open-weight models offer full auditability and data sovereignty over legal agents. Using Trajectory's platform, we post-trained NVIDIA Nemotron 3 Super on our Legal Agent Benchmark (LAB), measuring performance on 1,200+ complex end-to-end legal tasks across 24 practice areas. Initial results show that a post-trained Nemotron 3 Super can match performance of closed-source frontier models. This is just the start: we'll keep pushing the frontier with the more powerful Nemotron 3 Ultra when available.
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We're partnering with @trajectorylabs to bring sovereign continual learning to legal AI with NVIDIA Nemotron models. Continual learning allows agents to improve over time from feedback on their work: every redline refines the next draft. Open-weight models offer full auditability and data sovereignty over legal agents. Using Trajectory's platform, we post-trained NVIDIA Nemotron 3 Super on our Legal Agent Benchmark (LAB), measuring performance on 1,200+ complex end-to-end legal tasks across 24 practice areas. Initial results show that a post-trained Nemotron 3 Super can match performance of closed-source frontier models. This is just the start: we'll keep pushing the frontier with the more powerful Nemotron 3 Ultra when available.
Introducing Deep Research for legal in Harvey. Built on OpenAI's Deep Research API and Harvey's legal reasoning systems, Deep Research will enable a new class of legal agents for the world's top law firms and enterprise teams.
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Introducing Deep Research for legal in Harvey. Built on OpenAI's Deep Research API and Harvey's legal reasoning systems, Deep Research will enable a new class of legal agents for the world's top law firms and enterprise teams.
Introducing Command Center: the intelligence layer for Harvey deployments. Built for Innovation and Legal Ops leaders, it brings usage analytics, peer benchmarking, agentic insights, and recommendations into one place.
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Introducing Command Center: the intelligence layer for Harvey deployments. Built for Innovation and Legal Ops leaders, it brings usage analytics, peer benchmarking, agentic insights, and recommendations into one place.
We're excited to announce a direct integration with Microsoft 365 Copilot, expanding our partnership with Microsoft. Harvey's legal intelligence will be available directly in Copilot, providing precise, precedent-aware answers without leaving Microsoft 365. @msPartner
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We're excited to announce a direct integration with Microsoft 365 Copilot, expanding our partnership with Microsoft. Harvey's legal intelligence will be available directly in Copilot, providing precise, precedent-aware answers without leaving Microsoft 365. @msPartner
We partnered with @trajectorylabs to post-train NVIDIA Nemotron 3 Ultra for legal. Here’s what we found: 1) Open-weight models can reach frontier legal performance. On our Legal Agent Benchmark (LAB), Nemotron 3 Ultra started at a 0% all-pass rate. After post-training, it reached 5.8%, placing it between Sonnet 4.6 at 4.2% and Opus 4.6 at 6.6%. 2) Post-training dramatically improves reliability. Before training, many held-out tasks missed enough rubric dimensions to land around ~70% pass rates. After training, those tasks shifted toward ~95% pass rates. 3) Open-weight performance comes at much lower cost. Post-trained Nemotron 3 Ultra reached a similar quality band to leading closed models while running at roughly 1/8th to 1/50th the per-token price of Sonnet 4.6 and Opus 4.6. Most importantly: we post-trained this model on the @trajectorylabs platform less than 24 hours after Nemotron 3 Ultra launched, using the same harness, data, and recipe we used for Nemotron 3 Super. More to come as we continue to experiment with open-weight legal agents. Read more on post-training with Trajectory below:
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We partnered with @trajectorylabs to post-train NVIDIA Nemotron 3 Ultra for legal. Here’s what we found: 1) Open-weight models can reach frontier legal performance. On our Legal Agent Benchmark (LAB), Nemotron 3 Ultra started at a 0% all-pass rate. After post-training, it reached 5.8%, placing it between Sonnet 4.6 at 4.2% and Opus 4.6 at 6.6%. 2) Post-training dramatically improves reliability. Before training, many held-out tasks missed enough rubric dimensions to land around ~70% pass rates. After training, those tasks shifted toward ~95% pass rates. 3) Open-weight performance comes at much lower cost. Post-trained Nemotron 3 Ultra reached a similar quality band to leading closed models while running at roughly 1/8th to 1/50th the per-token price of Sonnet 4.6 and Opus 4.6. Most importantly: we post-trained this model on the @trajectorylabs platform less than 24 hours after Nemotron 3 Ultra launched, using the same harness, data, and recipe we used for Nemotron 3 Super. More to come as we continue to experiment with open-weight legal agents. Read more on post-training with Trajectory below:

t.co/iZ3kfjk1YP

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https://t.co/iZ3kfjk1YP
Introducing 500+ legal agents and a new Agent Builder in Harvey.
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Introducing 500+ legal agents and a new Agent Builder in Harvey.

Harvey (@harvey) X Stats & Analytics

Harvey (@harvey) has 13.3K X followers with a 0.33% engagement rate over the past 12 months. Across 234 posts, Harvey received 11.0K total likes and 3.45M impressions, averaging 46.9 likes per post. This page tracks Harvey's performance metrics, top content, and engagement trends — updated daily.

Harvey (@harvey) X Analytics FAQ

How many X (Twitter) followers does Harvey have?+
Harvey (@harvey) has 13.3K X (Twitter) followers as of June 2026.
What is Harvey's X (Twitter) engagement rate?+
Harvey's X (Twitter) engagement rate is 0.33% over the last 12 months, based on 234 posts.
How many likes does Harvey get on X (Twitter)?+
Harvey received 11.0K total likes across 234 posts in the last 12 months, averaging 46.9 likes per post.
How many X (Twitter) impressions does Harvey get?+
Harvey's X (Twitter) content generated 3.45M total impressions over the last 12 months.