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.
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.
- 01Search the record
Discovery and filings read in full, not a keyword sample. - 02Find the authority
The facts and holdings that back your position, cited. - 03Build the chronology
A sourced timeline pulled straight from the documents. - 04Works with Westlaw
Westlaw covers the law; Inner Hive reads your record.
“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.
One question → as many agents as it takes
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.
Knowledge & Notice — Chronology
HR intake logged March 12 — nine days pre‑termination
Dkt. 41 p. 214“Document a reason” email, March 15
Ex. 3130(b)(6) testimony contradicts intake date by six weeks
Tr. 88:14— and remembered
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.
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.
And this is what lands.

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

Interactive by default. Live TradingView charts embedded right in the deck — deliverables you can actually explore, not screenshots.
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.
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.
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.
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.
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.
Bring your files in place
Connect the cloud drives you already use — Inner Hive reads and saves right where your documents live.
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.
Two minutes from curiosity to a working team.
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.
We configure your team
A coordinator and three to four specialists, chosen and prompted for your specific role. We handle the entire setup.
Start working
Chat with your team in your browser. Upload files. Ask for research. Connect Discord or Slack when you’re ready.
Bring your files, or bring your whole archive.
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 accessPut 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 worksOne subscription. Caps you can plan around.
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.