For enterprise

Your own Legal AI model.

FinePrint OS for Enterprise is your company’s own private model: built on FinePrint LM, trained by your legal knowledge, never shared.

The same eight specialist agents run under your playbook, as an AI legal assistant to in-house counsel. Your lawyers keep the judgment. Every matter lands in a Legal Room that is always current.

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private model, trained by your legal knowledge and yours alone

101

endpoints across eight specialist agents, run under your playbook

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price for the company. Nobody in the business is rationed a seat

0

documents or answers from your Legal Room ever reach FinePrint LM

The private edition

Trained by your legal knowledge. Never shared.

Built on FinePrint LM. Trained by your lawyers, so it drafts the way your team drafts.

  • Built on FinePrint LM

    The model every company on FinePrint runs on, with a private layer that is yours.

  • Trained by your legal knowledge

    Your contracts, your playbook, your Legal Room, and every Work Request your lawyers agree, modify or rework.

  • Used by FinePrint AI counsels

    The same eight specialist agents and 101 endpoints, under your playbook.

  • Never shared with anyone outside

    Nothing it learns enters FinePrint LM. Nothing you put in leaves.

Your data trains your model. Only yours.

What changes for your team.

Three things move: the front door, the playbook and the record. The judgment stays with your lawyers.

Front door

One address for legal. The work starts itself.

Give the business one address. Every request becomes a matter, and routine work starts at once: the contract read against your playbook, the response drafted, the signature routed.

How the front door works

Playbook

Your positions, enforced on every matter.

Your positions, fallbacks and thresholds become the standard every endpoint runs on, in every business unit. The record shows which version was applied.

What an endpoint runs

Record

A record diligence can’t surprise.

Every entity, every executed document and every approval, filed by the endpoint that produced it and indexed in the Legal Room.

Inside the Legal Room

A worked example

One matter, from the business’s inbox to the record.

Legal at scale fails on volume: the same vendor agreement arriving from four business units, answered a little differently each time.

Here is one, run as an endpoint under your playbook.

Matter M-3162 · vendor MSA · requested by Field Operations Running

RUN /review-contract

  inbound: forwarded to the legal address by an operations manager
  entity: US operating company · playbook: commercial

matter opened from the forwarded mail · counterparty resolvedTue 7:12 AM

read record — three live agreements, one DPA, one order form expiringTue 7:13 AM

19 deviations from your playbook · 16 inside your written fallbacksTue 7:26 AM

indemnity carve-out for AI-generated output Yellow routed to your counsel, file builtTue 7:27 AM

position confirmed in-house · redline regeneratedTue 10:04 AM

redline and issue list returned to the requesterTue 10:11 AM

/route-for-signature — signing order from the entity’s authority matrixTue 10:12 AM

Your counsel decided one thing. Everything else ran without a lawyer, and the position they confirmed becomes the playbook’s.

One flag out of 19 deviations. The 16 your fallbacks answered were never a decision. Watch a whole matter run

What the agents take. What stays with your lawyers.

Nothing in the right-hand column moves left without your team moving it.

The workRuns as an endpointWhere your lawyers come in
NDAs, in and out Read against your positions on either side’s paper, redlined, routed for signature, filed. The ones your fallbacks don’t answer.
Your own commercial paper Generated from the record with the right entity, signatory and approvals, executed and filed. The form itself, and every change to it.
Counterparty paper Read against your playbook, every deviation scored against your written fallbacks, with an issue list returned to whoever asked. The deviations outside the fallbacks.
Hiring and employment Offer packets, invention assignments, state notices, payroll registrations, and the obligations a new state creates. Classification calls, terminations, and prior-employer covenants.
Equity and the board Grants checked against the pool, consents drafted from the record, minute book and ledger updated after. Anything that changes the capital structure.
Entities and compliance Registrations, annual reports, foreign qualifications, and the dates surfaced in Today. A new jurisdiction, a new regulated activity.
Diligence and the data room The Legal Room is already built. A request becomes a scoped share. The disclosure schedules.
Policy and playbook Applied on every matter, with the version recorded. Written by your team. The system enforces it.
Where the line sits is a setting, not our opinion. The software cannot clear a flag a licensed attorney raised. How the lanes are decided

Your lawyers hold the lanes.

The same three lanes govern every matter. On Enterprise, your team holds the seat of judgment.

Green — agents run it.

Under your playbook, with the approvals you’ve configured. Lawyers score samples of the output.

Which endpoints, at which thresholds, and who approves are your settings.

Yellow — your counsel confirms.

Flags route to your counsel first, with the file already built and our network behind them. Included either way.

Your lawyer spends the time deciding, not reconstructing. Nothing moves while it waits.

Red — a lawyer leads.

Yours or the network’s. A financing, a dispute, a regulated question.

A specialist who has never seen your company starts from a complete record.

A lawyer reads your matter when it goes Yellow or Red. Nothing starts until someone you have authorized approves it, and on Enterprise that can be your own counsel. Who reviews the work

Enterprise

Your policies, your keys, your terms.

Everything in Growth, plus your own counsel in the review lanes.

Your keys

Encrypted, company-isolated, per-document keys. Export in full or delete, permanently, any time.

Your data trains your model. Only yours.

FinePrint OS for Enterprise learns from your Legal Room and your lawyers. FinePrint LM never does.

Your paper

Custom policies, API access, and your paper for the engagement.

Said plainly, because procurement will ask. Deletion is immediate in live systems and completes as short-lived encrypted backups expire. Customer data and learning data live in two separate AWS accounts, in US regions. Retrieval is scoped to your company. We hold no third-party security certification today. An external assurance program is in progress.

Rolling it out without turning it into a project.

Three things you already have: your entities, your playbook, and the documents the company has signed. They load into the record, and the playbook becomes the standard the endpoints run on.

  • Entities. Several companies under one record, each with its own charter documents, officers, registrations and calendar.
  • Approvals you configure. Which endpoints run without a human, which need an approver, and who may approve.
  • Business units, one front door. The address goes to the business. Matters land tagged with who asked and what for.
  • Your playbook, versioned. Positions, fallbacks and thresholds are a document your team owns. Every matter records the version it ran under.
  • The paper you already hold. Signed documents are filed into the Legal Room and the record is built around them.
  • API access. Endpoints are callable from the systems the business already runs. A matter can start from a ticket.

Enterprise is priced Custom: one price for the company, never per seat, set against your entities and your volume.

The questions a General Counsel asks.

Is this replacing my team?

No. The agents absorb the volume that never needed a lawyer. Your lawyers keep every decision that does.

Does anything we run train the model?

Only your own. Nothing FinePrint OS for Enterprise learns enters FinePrint LM. That is the Two-Corpus Rule.

Can our own lawyers be the reviewers?

Yes. Flags route to your counsel first, with our network of licensed attorneys behind them for overflow.

What does the security review look like?

The security page names the subprocessors, the encryption model and the deletion terms.

The trust center, in one table

What exactly is an endpoint?

The whole transaction, not a template. /hire-employee produces the documents, the board consent for the grant, the signature routing and the state registrations, then writes the record back.

There are 101 of them across eight specialist agents. Every one ends with the Legal Room updated. The whole catalogue

Can we keep our outside counsel and our firms?

Yes. A financing or a dispute reaches them with the entity history, the documents and the approvals already assembled.

Your existing firm can take a Yellow or Red matter instead of the network, with the same file. FinePrint is a legal technology company, not a law firm; it does not practice law and it does not give legal advice. A licensed attorney is engaged by you, and included in your plan.

How does a correction on one matter become a fix for everyone?

Through a release process, not a support thread. When lawyers flag a pattern, the fix ships as a tested version to every company running that endpoint.

How a correction becomes a release

See it against your own playbook.

Bring the agreement your team reads most often. That is the demo.

Thirty minutes, live: your playbook, one real matter shape, run start to finish.

Book a demo

Or start with the paper trail your security team will want.

Security and isolation