Datics AI
AI for Legal tech

Attestly by Datics AI

Every statement in a draft checked against the record, with the page behind each result.

Before a draft goes out, Attestly splits it into single claims and checks each one against the record. It marks what is supported, what is not found and what conflicts, and links the page.

See it in your platform Try the demo

Built into your codebase and shipped under your name, on an engine we license to you.

tessaline.example/merrow-vance/drafts/okafor-brief

Merrow & Vance · Attestly

Demo

Check the statement of facts in our draft brief against the record.

18 claims checked

  • 15 supported, each with its page
  • 2 not found in the record
  • 1 conflicts with the record, page linked

18 claims split outRules anchor each resultAttorney decides

Try it step by step

Illustrative demo on a fictional agency and firm. Not client work.

Try it step by step

Attestly on a fictional customer.

Merrow & Vance (fictional). Step through the conversation, then see what Attestly hands back, the way your Build Sprint would build it on synthetic data.

tessaline.example/merrow-vance/drafts/okafor-brief

Merrow & Vance · Attestly

Demo

  • Check the statement of facts in our draft brief against the record.

Step 1 of 5

Illustrative demo on a fictional agency and firm. Not client work.

What it hands back

tessaline.example/merrow-vance/drafts/okafor-brief

Claim check · Statement of facts

Merrow & Vance · Okafor v. Thistle Logistics, draft brief

Attestly
Supported
15 of 18 · page cited for each
Done
Not found
2 claims · no passage in the record
Check
Conflict
Inspection date · brief April 9, log April 2
Check
Method
Exact matches anchor, model confidence shown
Done
Changes
None made · drafting attorney to decide
Waiting

Attestly marks and links. The drafting attorney decides every change.

Illustrative demo on a fictional agency and firm. Not client work.

What it does

What Attestly can do.

A draft split into single claims, each checked against the matter's record: exact matches on names, dates and figures anchor the result, the model only suggests with a confidence, and the drafting attorney decides every change.

Claims split out

A draft broken into single statements, each checked on its own.

Rules anchor, the model suggests

Exact matches on names, dates and figures anchor each result; the model adds a confidence, never the final word.

A page behind every result

Supported, not found or conflicting, each with the record page it rests on.

A report on every run

What was checked and how, with the confidence, tokens and time recorded for audit.

How it works

The draft is split into single claims. Each is matched against the matter's record: rules and exact matches on names, dates and figures anchor the result, embeddings and the model add weighted suggestions, and every run is recorded with its confidence and cost.

Draws on a claim verification engine we built, which splits text into single claims and lets rules anchor while the model only suggests, and on source checks for figures in a live document system. Checking a draft against a matter's record is what the Build Sprint adds.

SovrenAI

Verification · Claim checking

Claim verification on the founder's own ontology, where the language model only suggests

A founder's AI-coded prototype could not be measured or audited; now rules anchor every verdict and each answer shows how it was reached.

AI-native productAudit trailProduction AI
Read case study

NenoBrief by Neno Technologies

Document AI · Cited answers in production

Archive officers get cited answers inside their live document system, files never copied

Archive records could not reach an outside AI. Now the client's live document system calls our self-hosted gateway for cited answers.

Brownfield AIInside a live productCited answers
Read case study

SovrenAI

Verification · Source and confidence per claim

Every claim in an AI answer shows its confidence and its source

AI answers look equally sure when they guess; in SovrenAI's chat every claim carries a tier, confidence and source, and we ship each version live.

AI-native productForward deployedCited answers
Read case study

Why it sells

What Attestly does for your business.

What your customers get, and what it does for your renewals and pricing.

Fewer errors leave the firm

Conflicts with the record are caught before a draft goes out.

Explainable results

Every result shows its page and why, so reviewers can check it.

A premium review tier

Claim checking sold to firms as part of a higher plan.

Built for:Legal document and knowledge software

Controls

What Attestly touches, and who approves.

Your customers' data is not used to train models for anyone else and stays in your cloud. Built and tested on synthetic or test data.

  • Who uses it

    Attorneys, paralegals, editors and reviewers

  • What it connects to

    Your drafts and the matter's record in your document system

  • What a person approves

    The drafting attorney decides every change; Attestly edits nothing

  • Switch per customer

    On or off for each customer, with data settings their admins control.

See all controls and how we handle confidential legal records

How to get it

Two steps to a finished Attestly.

Start with a three-week Build Sprint. Add more only if you want it.

  1. First · Build Sprint · $10,000 fixed

    Drafts checked against the record before they go out

    • Claims split out
    • Rules anchor, the model suggests
    • A page behind every result
    • In your staging, behind a feature flag
    • Delivered as pull requests
    • A test set your team reviews
    1. Week 1Setup
    2. Weeks 2 to 3Build
    3. You getAttestly in your staging and a fixed production quote
    Your time
    About 2 to 3 hours a week from a product owner
    Data
    Synthetic or test data, never your customers' customers
    The fee
    Counts toward production
    See Attestly in your platform See a sample Build Sprint Pack

  2. Then · Live in production

    A finished product, yours to run

    • Fixed quote
    • Tested before launch
    • Switch per customer
    • A finished, working Attestly in your product
    • Runs in your cloud, under your name
    • Fixed quote, agreed before we start

  3. Optional · Add more later

    Only if you want it

    More of Attestly:

    • A report on every run

    Another module:

    • Each one quoted on its own
    • Nothing ongoing unless you ask

Already built or tried AI? Get it scored with the AI Scorecard. Need something else? Start with a Planning Sprint.

FAQ

Questions about Attestly.

Does it edit the draft?

No. It marks each claim and links the record page; the drafting attorney decides every change.

How do you stop the model being wrong with confidence?

Exact matches on names, dates and figures anchor each result, and the model only adds a weighted suggestion with its confidence shown.

See Attestly on your own product.

Bring your product and one workflow. In 30 minutes we look at where Attestly fits, what it would cost to serve and what your customers' security review will ask.

Book a 30-minute Product Review All legal tech modules

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.

See Attestly in your platform