Box (@Box) — posts, photos & videos

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@Box reposted

Legora

@WeAreLegora

14h

In Q3, we brought more of the work lawyers do every day into Legora, from finding the right precedent to refining a draft and presenting their analysis.

Our releases and betas introduced new ways to work with @iManageinc Cloud documents and expanded integrations with @Box, @Ironclad_inc, and @DatasiteGlobal. Teams can review and edit the Agent’s changes to Word documents directly in Legora and turn legal analysis into editable PowerPoint presentations. We also introduced more control over Agent plans, project sharing, and downloads.

Each update makes Legora more capable as a connected system for legal work, bringing the knowledge that teams rely on into the work they deliver.

Here are a few highlights from Q3.

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@Box

12h

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@Box

14h

We built a private credit deal workflow on Box that runs from a forwarded email to a signed credit agreement.

Box identifies the borrower even when the documents call it three different names, and AI agents draft a borrower summary with every figure linked to its source.

Credit teams run the book from a purpose-built app on Box Apps so analysts and the committee can make the calls.

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@Box reposted

Carter Rabasa

@crtr0

I joined Box in January because I was excited about a completely new category of software devs could build using unstructured data and AI.

This Nov 5-6 we're bringing together engineering leaders from @Box @awscloud @nvidia @OpenAI @getpostman @daytonaio & @Docker for the first ever BoxWorks Dev Summit to dive into these new capabilities and talk about what's next.

We'll have 2 days of keynotes, technical sessions, live demos, hands-on workshops and plenty of networking opportunities.

If you're in the Bay Area, we have a limited number of free passes for devs, please register below and let us know you'd like to come!

luma.com/box-dev-summit…

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@Box reposted

Chris Kim

@chriskim_dev

yeah AI agents are no longer just chats anymore.

Imagine a sandbox agent opening cloud files with an ordinary file path.

That's Box Mount.

Box Mount gives sandbox agents ordinary file paths to cloud files in @Box without building a download and upload workflow.

In this demo, an agent on @digitalocean reads deal room documents locally and writes a diligence memo back to the cloud.

All through Box Mount.

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@Box reposted

Axios

@axios

“There’s a tremendous amount of change management that has to happen in the enterprise” for AI to be seamlessly integrated into businesses, @Box co-founder and CEO @levie tells @inafried.

“Diffusion is going to take longer than people realize.” #AxiosLive

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@Box reposted

Aaron Levie

@levie

We built Box Mount to allow developers to mount Box as a file system directly in any agent sandbox. As agents do more complex work, they need to be able to work with files and data just like a person would. The future is headless.

Box@Box · Oct 8

🚀@vercel Sandbox gives AI agents an on-demand Linux microVM with its own filesystem, network, and process space. Box Mount runs inside that sandbox and maps a Box folder to a standard POSIX path, with 2-way sync and Box permissions and governance applying automatically.

In this demo, the agent analyzes 12 security questionnaire items against 3 approved policy documents. 10 answers pass with sourced evidence. 2 are flagged for human review because the approved docs don't support those claims. The finished Excel workbook and review list sync back to Box through Box Mount.

Vercel Sandbox is the isolated execution layer, and Box Mount is the governed content layer. The result lands in Box, ready for human review.

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@Box

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@Box reposted

Fin

@fin_ai

If a role had access to 100x more information than it currently has, how would it operate differently?

@levie, Entrepreneur, Investor and CEO and Co-founder of @Box discusses organizational reinvention, as he looks towards the future, and all that comes with continuous technological change.

Watch the full session at pioneer.fin.ai

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@Box

This is the infrastructure behind a “company brain.”

Teams organize content by domain in Box, route new assets through a governed approval workflow, and publish approved content into a curated Hub.

Agents answer from that Hub and cite the source, so every response traces back to something reviewed, owned, and trusted.

More from @41five👇

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Andrew Wong@41five · Oct 7

Loved stopping by SF @Techweek_'s Zero Human Startup Hackathon today!

Spoke about giving agents a company brain with @Box. Somewhere to find the docs, decisions, and context behind the work you’re asking them to do 🤠

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@Box reposted

Carter Rabasa

@crtr0

Super excited for next week's Enterprise AI hackathon in Seattle on Oct 16-17!

@Box is teaming up with @awscloud to spend 24 hours exploring the new applications, workflows and experiences that are possible using unstructured data and AI.

This hackathon is focused on high-value enterprise use cases, so if you've got an idea for something you wished existed where you work, come join us!

luma.com/bqo9xii4?utm_s…

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@Box

Microsoft MXC gives AI agents a controlled environment to run code, with policies that define which files they can read, where they can write, and what they can access. This demo shows MXC running natively on @Windows, connected to governed business content in Box through Box Drive.

Only approved files are staged into MXC before the agent runs. Box Drive makes the content accessible through the desktop filesystem. When the work is finished, results return to Box for team review.

MXC enforces what the agent can do. Box provides secure, governed content management and brings the output back into the team's workflow. Together, they connect useful agent work with enterprise controls.

Demo below ↓

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@Box

🆕@claudeai Haiku 5.5 from is built for fast, high-volume work. We ran it against Haiku 4.5 on real enterprise document tasks: pull the source files, reason across them, produce the actual deliverable:

→ Overall accuracy: 60% vs 49% (+11 points)
→ Drafting reports from source data: 69% vs 50% (+19 points)
→ Financial services: 71% vs 48% (+23 points)
→ Technology: 60% vs 43% (+17 points)
→ ~27% fewer tokens, ~half the latency

The gains land where the work is hardest: picking the right aggregation basis, resolving circular dependencies, and keeping the arithmetic consistent across a whole deliverable. And it gets there faster.

Claude@claudeai · Oct 7

Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released.

On average, it costs around 75% less to run than Claude Haiku 4.5.

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@Box

Oct 6

Most agent demos end when the chat does. @openclaw 2.0's /loop changes that. One prompt, and the agent keeps checking your Box deal room, updating the risk register as new documents arrive.

Check out our full tutorial. x.com/i/article/2107…

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@Box

Oct 6

Last week, @OpenAI launched dots, and we asked one to get us ready for a closing call on a $420 million acquisition.

The dot uses its browser to find and open the latest closing-readiness brief and equity amendment in Box, then gives us a short briefing for the call.

The funding gap is covered, but a required customer consent is still missing. It highlights what needs follow-up and what to raise with counsel.

Connect Box to ChatGPT to give your dot the business context to get work done.

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@Box reposted

DigitalOcean

@digitalocean

Oct 6

Drop a file in the deal room, and a sandbox agent wakes up and rebuilds the review memo with the latest info. @chriskim_dev built it with @Box and DigitalOcean Managed Agents.

Chris Kim@chriskim_dev · Oct 5

I just automated deal room acquisition screening with @Box & @digitalocean Managed Agents.

Drop a new file in the deal room → Triggers the sandbox agent to wake up and rebuild the review memo with the latest info.

No more stale deal room memos.

Full setup deep dive video coming soon.

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@Box reposted

Chris Kim

@chriskim_dev

Oct 5

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@Box

Oct 5

Reliable extraction requires more than returning the right fields. Teams need a way to evaluate and verify the results.

Box Extract provides field-level confidence scores and source bounding boxes, making it easier to identify uncertain values and trace extracted data back to its source.

See it in action.👇

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