THE FIRST LEGAL HUB

Imagine. Your AI knows your matters and your methods.

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  • CorporateFolder2026-10-06
  • EmploymentFolder2026-10-07
  • LitigationFolder2026-10-08
  • Real estateFolder2026-09-30
  • SOCIETE_4 v SOCIETE_9Folder2026-10-08
  • PERSONNE_12 v SOCIETE_3Folder2026-10-05
  • SOCIETE_15 v SOCIETE_2Folder2026-09-22
  • SOCIETE_21 v PERSONNE_8Folder2026-09-11
  • CorrespondenceFolder2026-10-08
  • ExhibitsFolder2026-10-05
  • ProceedingsFolder2026-09-18
  • claim-form.pdfLitigation / SOCIETE_4 v SOCIETE_92026-03-12

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Give me an update on this matter: latest emails and latest meetings.

Hubaria Datahub: exhibits, emails, meetings and diary for the matter 5 sources

Matter SOCIETE_4 v SOCIETE_9: dispute over service charges.

Proceedings: claim served on 12 March, case management under way. Proceedings

Latest exhibit: the service charge statement sent by SOCIETE_9. Exhibit 14

It leaves €18,400 of charges unsupported. Exhibit 14, p. 3

Latest email: PERSONNE_2 asks where the settlement stands. Email · 8 Oct

She accepts the principle of a six-month payment schedule. Email · 8 Oct

Latest meeting: you promised a draft settlement by the 15th. Meeting · 2 Oct

PERSONNE_5, for the landlord, is waiting for your costed proposal. Meeting · 2 Oct

Coming up: case management hearing on 21 October. Diary

To do this week: send the draft settlement to PERSONNE_2.

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The platform

Your general-purpose AI becomes a legal one with your matters, your methods and your tools

lab.hubaria.comLabYour applicationsMatter reviewLitigation, audit, adviceAuditOne contract per rowExhibitsFiled, sorted, numberedContract draftingFrom your templatesRedline reviewAccept, reject, trackLegal watchLegislation and case lawChronologyThe facts, dated and sourcedSmart inboxSorted by matterDiary assistantDeadlines, hearings, meetingsSlide builderIn your house style

Your sources feed the Datahub. The data passes through the security layer, then the connector, before reaching your AIs.Your methods do not need the sources: they travel down through the same layers to your AIs.Your applications live in the Lab: each one works on your data and to your methods.

Use cases

What your teams ask it

Eight examples. There are as many as there are matters, methods and processes.

  1. Get up to speed on a matter

    “I am seeing Vernet at 2 pm. Where do we stand?”

    Latest exhibit, latest email, latest meeting, next deadline: a sourced update.

    Datahub

  2. Find a precedent

    “Have we negotiated this clause before?”

    The contracts that carry it, the position defended, the argument that won the day.

    Datahub

  3. Rethink your inbox

    “What is waiting for a reply from me?”

    Your emails sorted by matter, overdue follow-ups, a draft reply that cites the right exhibit.

    DatahubLab

  4. Put an agent in your diary

    “What is coming up this week?”

    Hearings, deadlines and meetings linked to their matter. You approve, it keeps things up to date.

    DatahubLab

  5. Review a contract your way

    “Review this supplier contract using our method.”

    The departures from your positions, then the rewritten contract, with a comment on each amended clause.

    Skillshub

  6. Draft in the firm's format

    “Prepare the note for Thursday's committee.”

    The answer in the first line, three options, one recommendation.

    Skillshub

  7. Audit a data room

    “What do these 48 contracts say about change of control?”

    A grid: one contract per row, each answer with its clause, risks flagged.

    Lab

  8. Have your application built

    “What if the tool followed our process exactly?”

    Our LegalOps build it with you, connected to your data and your methods.

    Lab

And also, every day

  • “Summarise this matter for me”“Who wrote to whom, and when?”“What did we promise the client?”“Which emails are still unanswered?”“Find the non-compete clause”“What does the latest order say?”“Which hearings next month?”“Which contracts expire in December?”“Run an audit on the Atlas data room”“Build the exhibit list from the matter's documents”“Draw up the chronology from the emails and exhibits”“Prepare the closing slides with the figures from the matter”“Sort my inbox by matter”“Pull the deadlines from my emails and put them in my diary”“Audit these leases with our indexation grid”“Open a redline review using our method”“Draft the shareholders' agreement from our template”“Check this contract against our GDPR checklist”“Prepare the committee note, in our format”“Where has the Atlas audit got to?”“What risks has the audit flagged?”“Add this contract to the current audit”“Export the audit report for the client”“Offer Claire Vernet three slots next week”“Update the slides with the latest version of the settlement”“Put clause 8 through redline review”“Tell me if this legislation changes”“Find our leases, audit them with our grid, produce the report”“Pick up the matter, draft the settlement from our template, prepare the meeting”“Search our precedents and propose the clause to our standard”
  • “Run an audit on the Atlas data room”“Build the exhibit list from the matter's documents”“Draw up the chronology from the emails and exhibits”“Prepare the closing slides with the figures from the matter”“Sort my inbox by matter”“Pull the deadlines from my emails and put them in my diary”“Audit these leases with our indexation grid”“Open a redline review using our method”“Draft the shareholders' agreement from our template”“Check this contract against our GDPR checklist”“Prepare the committee note, in our format”“Where has the Atlas audit got to?”“What risks has the audit flagged?”“Add this contract to the current audit”“Export the audit report for the client”“Offer Claire Vernet three slots next week”“Update the slides with the latest version of the settlement”“Put clause 8 through redline review”“Tell me if this legislation changes”“Find our leases, audit them with our grid, produce the report”“Pick up the matter, draft the settlement from our template, prepare the meeting”“Search our precedents and propose the clause to our standard”“Summarise this matter for me”“Who wrote to whom, and when?”“What did we promise the client?”“Which emails are still unanswered?”“Find the non-compete clause”“What does the latest order say?”“Which hearings next month?”“Which contracts expire in December?”
  • “Open a redline review using our method”“Draft the shareholders' agreement from our template”“Check this contract against our GDPR checklist”“Prepare the committee note, in our format”“Where has the Atlas audit got to?”“What risks has the audit flagged?”“Add this contract to the current audit”“Export the audit report for the client”“Offer Claire Vernet three slots next week”“Update the slides with the latest version of the settlement”“Put clause 8 through redline review”“Tell me if this legislation changes”“Find our leases, audit them with our grid, produce the report”“Pick up the matter, draft the settlement from our template, prepare the meeting”“Search our precedents and propose the clause to our standard”“Summarise this matter for me”“Who wrote to whom, and when?”“What did we promise the client?”“Which emails are still unanswered?”“Find the non-compete clause”“What does the latest order say?”“Which hearings next month?”“Which contracts expire in December?”“Run an audit on the Atlas data room”“Build the exhibit list from the matter's documents”“Draw up the chronology from the emails and exhibits”“Prepare the closing slides with the figures from the matter”“Sort my inbox by matter”“Pull the deadlines from my emails and put them in my diary”“Audit these leases with our indexation grid”
  • “Offer Claire Vernet three slots next week”“Update the slides with the latest version of the settlement”“Put clause 8 through redline review”“Tell me if this legislation changes”“Find our leases, audit them with our grid, produce the report”“Pick up the matter, draft the settlement from our template, prepare the meeting”“Search our precedents and propose the clause to our standard”“Summarise this matter for me”“Who wrote to whom, and when?”“What did we promise the client?”“Which emails are still unanswered?”“Find the non-compete clause”“What does the latest order say?”“Which hearings next month?”“Which contracts expire in December?”“Run an audit on the Atlas data room”“Build the exhibit list from the matter's documents”“Draw up the chronology from the emails and exhibits”“Prepare the closing slides with the figures from the matter”“Sort my inbox by matter”“Pull the deadlines from my emails and put them in my diary”“Audit these leases with our indexation grid”“Open a redline review using our method”“Draft the shareholders' agreement from our template”“Check this contract against our GDPR checklist”“Prepare the committee note, in our format”“Where has the Atlas audit got to?”“What risks has the audit flagged?”“Add this contract to the current audit”“Export the audit report for the client”

And you, what will you use it for?

Let's talk about your cases

Security

You are right not to go in blind

Professional secrecy, client data, liability: your reservations are legitimate. Here are our commitments.

Security by design

The platform is designed from the outset to hold every level of security.

  • Access to data
  • Access to resources
  • Exposure
  • Security experts

    The architecture is designed and reviewed by security specialists.

  • A penetration test every year

    Our infrastructure is put through a penetration test every year.

01

Hosted in France.

On our secure servers, or in your own infrastructure.

02

Pseudonymisation.

Before anything is sent to a model, every person, company or place becomes a code. The real names are encrypted separately, with a key unique to your firm.

03

Traced re-identification.

Real names are restored in the Datahub only, for authorised people, with a record of every re-identification.

04

Your access rights.

Everyone sees only what they are entitled to, and you control the scope: a matter, a team, a type of document.

What it changes

Your data stays under your control.

You know where your asset is, and you can show it to any client who asks.

You change AI without starting again.

The work is done on your data and your methods, not inside a tool.

Your AI becomes a legal specialist.

It knows your matters and applies your methods: it is the AI that takes on your way of working.

Work fit to sign.

Every answer can be traced back to the source document, and you approve at every step.

Frequently asked questions

Can a lawyer use ChatGPT or Claude on client matters without breaching professional secrecy?

It is possible, provided the AI does not receive the data in clear text. With Hubaria, the AI consults your matters through the Datahub: the names of people, companies and places are replaced by codes before anything is sent to a model. The real names are restored only in the Datahub, for authorised people.

What is a legal datahub?

It is the layer that connects the sources of a law firm or in-house legal team (DMS, emails, meetings, diaries) to its AI. It gathers those sources, matches them by matter, applies access rights and pseudonymisation, then serves them to the AI. Hubaria tech is a legal datahub.

How do you stop the AI inventing a clause or citing the wrong document?

Every answer cites its source (the article, the page, the minute) and can be checked. When nothing matches, the AI answers “not found” instead of offering a plausible document. For an exhaustive search, it reports on its coverage: 38 contracts examined out of 38.

Where is the data hosted, and who can access it?

In France, on our secure servers or in your own infrastructure. The real names are encrypted separately, with a key unique to your firm, and are restored only for authorised people.

What is the difference between a skill and a prompt?

A prompt is a one-off instruction. A skill is a method written with the expert: steps, checkpoints, sources to consult, format for deliverables, cases where the AI must stop. The whole team uses it, from one AI to the next.

Can Claude, ChatGPT or Copilot be connected to a law firm's DMS?

Yes. Hubaria exposes your data through an MCP connector, the standard by which an AI consults a source. Any tool that supports the MCP protocol can plug into it, including Claude, ChatGPT and Copilot. Your documents stay in your DMS: nothing is migrated.

Can a team member reach, through the AI, a matter that is not open to them?

No. The Datahub applies your access rights: through the AI, everyone sees only what they are entitled to. You control the scope by matter, by team or by type of document.

What is the difference between pseudonymisation and anonymisation?

Anonymisation is irreversible. Pseudonymisation replaces names with codes and allows them to be restored under control: that is what Hubaria does. Under the GDPR, pseudonymised data remains personal data; it is a safeguard, not an exemption.

What is the difference between Hubaria and Harvey, Legora, Ordalie or Copilot?

Those are AIs, general-purpose or legal. Hubaria is the layer of data and know-how underneath: it prepares your matters and your methods, and makes them available to the AI providers that support the MCP protocol.

What does the AI provider see when I query my matters?

Only the pseudonymised extracts needed for the answer. It does not receive the real names.

A platform does not deploy itself

Auditing your data, integrating the platform, capturing your methods, training your teams: that is the job of hubaria | deploy.

Discover our support

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