Invite-only beta · Deep research over your documents

Read everything.
Cite everything.

Point Inner Hive at your documents — or just ask a question. A Coordinator sizes the job and dispatches a hive of specialists that reads every page, researches across the open web, and hands you a fully-cited report — from a quick answer to an in-depth, interactive deck. No code. No setup. No learning curve.

Currently invite-only. Approved invites get early access while we finalize pricing.
Powered byAnthropic’s Claude
innerhive.ai  /  v0.4.2Preparing for SOC 2 Type II; expected completion H2 2026 · Zero data retentionBuilt on Claude
Inner Hive for
§ 01 / For your field

Built for the work you actually do.

For litigators and firms, the record is everything. Inner Hive reads every page of discovery and filings, and cites each fact to its page and Bates number.

Inner Hive’s templates are built around real workflows — not chatbot demos. Your team operates inside the standards of care your clients already expect. Everything stays confidential. Nothing trains a public model. Audit logs on every action.

Preparing for SOC 2 Type II; expected completion H2 2026. SSO and custom DPAs on Business and Enterprise plans.

  • 01
    Search the record
    Discovery and filings read in full, not a keyword sample.
  • 02
    Find the authority
    The facts and holdings that back your position, cited.
  • 03
    Build the chronology
    A sourced timeline pulled straight from the documents.
  • 04
    Works with Westlaw
    Westlaw covers the law; Inner Hive reads your record.
§ · Why Inner Hive

“Why not just use Claude or ChatGPT?

You kind of are. Inner Hive runs on Claude — Anthropic’s best models. The difference is simple: you don’t get one chat. You get a team of agents. Each takes a piece of your question, and a lead agent puts it all together into one sourced report.

OpusSonnetFable
lead
research
files
specialist
writer

One question → as many agents as it takes

Powered byAnthropic’s Claude
§ 02 / The system

One question in. A cited report out.

Inner Hive isn’t a chatbot, and it isn’t one model. A Coordinator reads your request, sizes it, and dispatches a hive of specialists — as few as three, as many as twenty-plus — to read your files, research the open web, and return an answer pinned to every source. Watch a real request move through the system below.

You ask
Your files + the open web
2,412 pages · 90 sources
Crew3
Pages read0
Citations0
Deliverable · Report + deck

Knowledge & Notice — Chronology

HR intake logged March 12 — nine days pre‑termination

Dkt. 41 p. 214

“Document a reason” email, March 15

Ex. 31

30(b)(6) testimony contradicts intake date by six weeks

Tr. 88:14
reportdeck.mdshare
Saved to your workspace
— and remembered
01 Triage02 Fan out03 Read & research04 Synthesize05 Deliver

Every run starts with the Coordinator. It sizes the job, then decides who and how many specialists to deploy — researchers to comb your files and the open web, document analysts to read every page, a drafter to turn it all into a polished report. A quick question might take three; a deep one, twenty or more. They work in parallel and cite as they go — like an associate pool that read the whole file overnight, then wrote it up. The engine never changes; only the size of the crew and what you point it at.

The five moves

What you just watched.

Every run is the same five moves — but the Coordinator sizes the crew to the job, from a few worker bees to a full swarm. No black box; check the sources when it lands.

01TriageThe Coordinator reads your request and sizes it — a quick answer or a deep dive.1 request → sized
02Fan outIt dispatches the crew the job needs — researchers, document analysts, drafters, assistants. Three specialists, or twenty-plus.3 → 20+ worker bees
03Read & researchThey read every page you’ve got and research across the open web — no sampling, citing as they go.your files + the web
04SynthesizeFindings stream back to the Coordinator; contradictions get cross-checked and reconciled.every claim · sourced
05DeliverThe drafter assembles it all into a polished deliverable — an in-depth report or an interactive deck.report · deck · cited
Example · Markets / Finance

And this is what lands.

Real report, rendered live · in-depth + interactive
innerhive.ai/m/weekly-report-pltr-nio
Report cover — weekly market report, PLTR & NIO, with executive summary

In-depth, not a one-pager. Cover, verdict, and a full executive summary — themed, sourced, and structured like a real report.

innerhive.ai/m/weekly-report-pltr-nio
Live interactive TradingView chart embedded inside the report

Interactive by default. Live TradingView charts embedded right in the deck — deliverables you can actually explore, not screenshots.

§ 03 / Capabilities

Not just answers. A working platform.

Reading, researching, and citing is the core. Around it sits everything a real practice needs — agents that act on their own, work that runs on a schedule, and your documents wherever they live.

Review + research

Your documents — and the open web

Point it at a haystack and it finds the needle — every page read, nothing sampled. Or set it loose as a pure researcher, across your files and the open web, and it comes back with what matters, cited to the source.

Docs · web · cited
Proactive

Agents that act on their own

Your hive doesn't just wait for prompts. It surfaces angles already sitting in your files and suggests the next move — before you think to ask.

Anticipates · suggests
On a schedule

Set tasks to run automatically

Stand up a weekly monitor, a daily digest, or a recurring sweep. Your team does the work on a cadence — while you're doing something else.

Daily · weekly · recurring
Browser or desktop

Point it at your on-prem docs

Work in the browser, or install the desktop app to aim Inner Hive straight at documents on your own machine or network — nothing has to leave your walls.

Web app · desktop app
Connect your storage

Bring your files in place

Connect the cloud drives you already use — Inner Hive reads and saves right where your documents live.

Google DriveDropboxOneDrive
Read + save in place
Agent memory

Long-term memory, walled per project

Every project is its own walled space, and the hive builds long-term memory inside it — remembering your interactions and the documents you feed it there. The agents get smarter about that matter with every pass, and one project's context never leaks into another's.

Per-project · long-term memory
§ 04 / Process

Two minutes from curiosity to a working team.

i.

Tell us about your work

Five questions. Your profession, the work that takes your time, and how you prefer to communicate. Two minutes, no jargon.

90 seconds
ii.

We configure your team

A coordinator and three to four specialists, chosen and prompted for your specific role. We handle the entire setup.

60 seconds
iii.

Start working

Chat with your team in your browser. Upload files. Ask for research. Connect Discord or Slack when you’re ready.

Immediately
§ 05 / Two ways in

Bring your files, or bring your whole archive.

For professionals

Inner Hive for your field

Sign up, connect your files, and get a research hive tuned to your profession. Self-serve, free to start.

Request beta access
For organizations

Put your archive to work

Sitting on decades of proprietary content? License the engine and ship an agentic research product to your audience — every answer cited to your own IP.

See how it works
§ 06 / Pricing

One subscription. Caps you can plan around.

§ Private beta

Pricing is coming soon.

Simple, flat monthly pricing — sized to your volume, with caps you can budget against. We are tuning the final tiers with our first practitioners; request access and we will get your team set up.

Stop reading about agents. Start working with one.

We are onboarding a small number of solo and small-firm practitioners while we tune the product. Tell us a little about your practice and we will get back to you.

Inner Hive — your AI team, briefed and ready