LegalAI[Space]

You have the know-how. This is where you put it so people use it.

Write one house position as a firm agent's instructions, attach the skills it should carry, and watch it run on every review from then on.

Head of knowledge and innovation

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Agents · Catalogue15 agents · every plan
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Research Agent

Plans the question, retrieves from primary law and drafts an answer with every authority checked.

Give it

  • Citation Verification: auto-attached, independently re-fetches every citation and runs the quote-verbatim text-match gate before output reaches you.
  • Research Confidence Scoring: auto-attached, per-section low, medium or high confidence with deterministic floor rules for doubted, overruled or unverified citations.
  • Citation Style Formatter: auto-attached, OSCOLA, OSCOLA-Ireland, Bluebook or firm house style.

Get back

  • Summary
  • Action items
  • Authorities
  • Open questions
  • How this was made
Word, PDF, slides or spreadsheet

Try it

How the Research Agent works
The agent catalogue, with a firm-built agent sitting alongside the shipped ones.

Before

The precedent bank is curated, indexed, correctly tagged and last opened in March, because it lives somewhere fee-earners do not go while they are working.

The firm's line on liability caps exists as a paragraph in a Word file that four of the twelve people who need it have actually read.

Innovation projects fail on the same point every time: the tool is a destination rather than a step in the work someone was already doing.

After

A firm agent encodes the house position once, instructions written, skills attached, checks chosen, and it runs on every review from then on rather than living in a document nobody opens.

A review grid built from your own columns puts the firm's questions in front of a fee-earner inside the matter, with the quote behind every cell.

Chat grounded on the firm's own documents and matter history answers whether anyone has done this before with the actual matters and the partner on each, not a general guess.

01

Grounded on the matter

The Local-Document Retrieval sub-agent searches the firm's own uploaded documents for prior memos and context, bounded by the matter's own permissions, so pointing it at the back catalogue does not open a governance argument.

See how matters work
Matters · Project Halcyon · SPA warranties and disclosureOpen

Project Halcyon: SPA warranties and disclosure

Buy-side warranty review, disclosure analysis and cited due-diligence grid.

Client
Halcyon Bidco Ltd
Reference
WC-2026-0412
Practice area
Corporate / M&A
Jurisdiction
England and Wales
Responsible partner
E. Vance
No conflict check on file.

Chat, on this matter

Compare warranties with the disclosure letter.

Three high-priority exceptions require action: the unregistered charge, the change-of-control right and the tribunal claim.

Send a message… (@ to mention tools)BalancedPrepare for
  1. 25 Aug

    Disclosure exceptions matrix

    Chat

  2. 21 Aug

    Disclosure exceptions matrix

    Run · completed · 560 credits

  3. 18 Aug

    Project Halcyon: Disclosure Letter

    Document · indexed

  4. 16 Aug

    Project Halcyon: Share Purchase Agreement

    Document · indexed

  5. 4 Aug

    Matter opened

    Opened

A matter's documents, searchable by a later matter without leaving its permission boundary.

02

A memo, not a chat

Build a review grid from your own questions rather than the five seeded playbooks, and every cell still comes back with a Verified against source marker and the quote behind it, the same property that made the seeded grids safe to hand to a trainee.

See the review grid
Document Review · Hartwell matter · contract screen0/12 filled
DocumentParties and effective dateTEXTTerm and renewalTEXTLimitation of liabilityTEXTGoverning lawTEXT
nda-hartwell-meridian.txt
saas-agreement-northgate.txt
board-minutes-hartwell.txt
A grid built from a practice group's own questions, quoted the same way as a seeded playbook.

03

Verified, then shareable

Verification checks are attached per agent, so you choose which run on what you build, while the four deterministic gates and the source allow-list apply to any agent using the legal fetch tools regardless of who wrote its instructions.

See how verification works
Audit register · Calder & Finch LLP · last 24 hours
5 of 8 entries · digest sha-256
TimeWhoTypeEntryMatter
09:36j.okaforDocumentDisclosure_letter_v4.docx uploaded · 18 pagesHAL-2026-0031
09:30e.vanceConflict checkConflict check on open · no matches across 38 mattersRC-2026-0009
09:12adminMemberp.hartley added · role: Associate · 4 mattersWorkspace
08:55r.chenRunDue Diligence Agent · review grid · 12 documentsHAL-2026-0031
08:40r.chenVerificationVerify all · 6 authorities · 6 verifiedHAL-2026-0031
Exports carry a content digest so a reviewer can confirm nothing was edited after the fact.
The verification checks attached to a firm-built agent, chosen rather than assumed.

Named, not generic.

Each agent is built for one kind of work, carries its own protocols and returns the same six-tab run. These are the ones this desk reaches for.

What a run costs.

Whatever you build, an agent or a grid, is metered in credits per run and shown against the matter it worked on, so adoption and cost move together.

See pricing

What you will say before you try it.

Can we import our precedent bank?
You upload documents into matters and collections and agents read them. There is no live connector to iManage, NetDocuments or SharePoint; those are catalogue tiles, not integrations, and DMS connectors are on the roadmap, SharePoint and OneDrive first.
See how matters work
Do we have to ask you before writing our own agent?
No. Agents, skills and checks are all created inside your own firm. We seed the catalogue with the shipped skills and playbooks; we do not gatekeep what you build on top of it.
See the review grid
How do we know what people are actually using?
The audit and compliance register holds every run in the firm, with who authorised it and whether the checks passed, exportable as a spreadsheet, which is a better adoption signal than an email asking who has tried it.
See the audit register

Nearby desks.

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Build one firm agent that encodes one house position.

The smallest experiment that proves the model, and it costs nothing to try.

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