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How Lawfly keeps a matter connected.

The matter record is the structure everything else hangs on. This page explains that structure, how statements point to their sources, what we plan for change-impact suggestions, the problems we are still working on and what comes next. Each capability is labelled with where it stands.

  • Available in the India beta
  • Planned
  • Under exploration
1 · Matter structure

Documents, facts, research and drafts are stored against one matter and linked to each other.

In this design, a document added to a matter is read and indexed by page. Facts and dates extracted from it keep a reference to the page they came from. Research is saved against the issue it answers. Drafts are started from the facts the lawyer has approved. Because every item carries its links, the system can show what a statement rests on and what a new document touches.

  • Matter record with parties, court, stage and dates
    The anchor every other item points to.
    India beta
  • Documents stored and searchable by matter
    Orders, pleadings, evidence and correspondence on the file they belong to.
    India beta
  • Research saved against the legal issue
    Questions asked from inside a case; answers kept with the matter.
    India beta
  • Drafts started from case details
    Parties, court and case number filled from the record; editable until export.
    India beta
  • Facts and timeline events linked to a document page
    Each extracted fact keeps the page it came from.
    Planned · Canada
2 · Source references and visible gaps

A reference is a pointer for the lawyer to check, not a guarantee.

Research summaries in the India beta cite the material they drew on so the lawyer can open each source. For the Canadian edition we plan to extend this to facts and draft passages: where a statement has a supporting passage, it is shown; where none exists on the matter, the statement is marked as a gap rather than left to look supported.

AI output, including citations, can be wrong or incomplete. References make verification faster; they do not replace it.

  • Research answers cite the material they used
    India beta
  • AI-generated text labelled inside the product
    India beta
  • Statements in drafts and timelines show their passage
    Planned · Canada
  • Unsupported statements marked as gaps
    Planned · Canada
  • Canadian case-law and legislation coverage
    Under exploration
3 · Change-impact suggestionsPlanned · Canada

When a new document arrives, show what it may change. Then wait.

Because facts and passages keep their links, a new document can be compared against them. The planned behaviour: Lawfly reads the document, lists the facts, timeline entries and draft passages it may affect, and shows each as a proposal with its source. The lawyer accepts or keeps the original, one proposal at a time. Approved work is never overwritten. The Canadian product preview on this site demonstrates the intended interaction with fictional data.

  1. Read the new document and index its pages
  2. Compare it with linked facts, events and passages
  3. Propose changes, each with its source page
  4. Lawyer accepts or keeps the original; decisions are recorded
4 · Open problemsUnder exploration

What is hard, and what we are working on for Canada.

These are engineering questions, not features. Other teams work on related problems; we do not claim ours is the only approach.

Reading real-world documents

Scanned orders, photographed pages and mixed-language files must be read well enough that a page reference is right.

Deciding what a statement rests on

Linking a fact or a draft sentence to the passage that supports it, and knowing when to say that nothing does.

Detecting impact without over-flagging

A new document should raise the few proposals that matter, with a reason, rather than touching everything.

English–French review that keeps the original

Aligning passages across languages and flagging terms whose legal meaning differs, without replacing the source text.

Firm-branded client portal

Under exploration

We are also exploring a firm-branded client portal for the Canadian edition: clients would share documents and see updates the firm chooses to publish. It is a concept, not a product.

See the concept
5 · What we are working on next

Planned capabilities and research, labelled as such.

None of the items below is available to customers today, and none has a release date. An internal prototype or experiment is not an available feature: a capability is labelled “Available in the India beta” only when customers can use it. Which market receives each item first is not yet set.

  • Drafts that keep the source document’s formatting

    Planned

    When a draft starts from an existing document, keep its headings, numbering and layout, so less reformatting is needed before it is filed or sent.

  • Source-linked citations, with unresolved references flagged

    Planned

    Each citation opens the passage it relies on. A reference that cannot be matched to a source is shown as unresolved instead of looking confirmed.

  • Legal search across a larger collection

    Planned

    Search a larger body of judgments and legal material. Holding documents is not the same as finding the right ones reliably, so coverage and quality will be published before this is offered.

  • Research as a reusable capability, beyond chat

    Planned

    Make Lawfly’s research available as a reusable capability that other Lawfly workflows and tools can call, under the signed-in user’s account and permissions, rather than only inside the chat window.

  • Internal quality evaluation and AI-use tracking

    Planned

    Internal instrumentation that records where AI is used and what its outcomes are, and evaluation of the quality of AI output, so the Lawfly team can find and fix weaknesses. It is an internal tool, not a reporting feature for firms, and internal results are not measurements of customer performance.

  • Drafts in your own writing style

    Under exploration

    With your permission, adapt draft wording to your style using examples you choose, applied when a draft is written. This is not the same as training a model on your documents.

  • Learning from edits you approve, with permission

    Under exploration

    Use the edits a lawyer approves to improve later suggestions, only with their permission. Edits are not used this way today.

  • Specialist assistance and faster responses

    Under exploration

    Assistance focused on specific tasks, such as research or drafting, and shorter waits for answers. No speed or accuracy figures are claimed.

What these plans do not claim

  • Holding a large collection of judgments does not mean search over it already works reliably in production.
  • Adapting drafts through instructions or examples is not model training.
  • Recording the edits a lawyer makes does not mean the product already learns from them.
  • Results from internal experiments are not measurements of customer performance.
  • Indian legal data does not establish coverage of Canadian law.
  • A research capability reused inside Lawfly is not a research service offered to other companies.

See the India beta in use, or the Canadian concept in motion

The India site shows the beta modules with Indian sample cases. The Canadian preview shows the planned change-impact interaction on an Ontario sample matter.