AI for Legal tech

AI for court reporting and transcript platforms

Transcripts listed without the file, and released only to the attorney who paid.

For transcript marketplaces and court reporting software. Title pages read in the agency's browser, files encrypted for the paying attorney, every request, payment and release on one ID, and deposition summaries cited to page and line.

Built for: Transcript marketplaces, court reporting software, deposition and records platforms.

Already built or tried AI? Get it scored with the AI Scorecard.

tessaline.example/calloway-ridge/transcripts/new

Calloway Ridge Reporting · Docketly

Demo
  • I selected 5 transcripts from last week. Can you fill the title pages?

Step 1 of 5

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

Where these products get stuck

What gets in the way, and how we handle it.

  1. 01

    A platform that holds the transcript

    Select, not upload

    The title page is read in the agency's browser, and only the fields it approves are sent.

  2. 02

    Admins who could read the file

    Encrypted for the attorney

    The agency's browser encrypts each file at release, locked to the paying attorney.

  3. 03

    Requests tracked in email

    One request ID

    Every step from question to release, with its timestamp, on one platform ID.

What agencies ask before they list a transcript

Short answers your team can repeat.

  • During discovery the transcript stays on the agency's computer.
  • The agency confirms every field and every release.
  • Platform admins cannot open released files.
  • We work within your confidentiality obligations, court rules and privacy requirements.

Proof

What we have built that this rests on.

57 featured AI case studies: AI products and AI built into live products, each written up on our Work page.

Transcripts U.S.

Court reporting · Transcript indexing

Court reporting agencies publish transcript metadata without the file ever leaving their browser

Agencies once uploaded full transcripts to the marketplace; now title page details are read in their own browser, and they confirm what is published.

Brownfield AIInside a live productDocument intelligence
Read case study

Transcripts U.S.

Court reporting · Encrypted release

Attorneys receive deposition transcripts that even the marketplace cannot read

The marketplace could once read every transcript it held; now each file is encrypted in the agency's browser and opens only in the paying attorney's.

Brownfield AIInside a live productPermission-aware
Read case study

NenoDoc Lexicon by Neno Technologies

Document AI · Writing that keeps the facts

Archive indexers fix grammar and style without a name, date or figure changing

AI rewrites can quietly alter names and numbers. Ours edits only flagged spans, and approved terms are locked before the model sees them.

AI-native productHuman approvalDocument intelligence
Read case study

How it works

Three ways to start, each at a fixed price.

Most transcript platforms start with Docketly in a Build Sprint: browser side extraction and agency review before publishing.

Legal Tech Platform Product Review · 30 minutes, no chargeStart here. We look at your platform with you, agree the outcome you want for your users, and tell you which of the three below fits.

Book a 30-minute Product Review

No AI yet, and a module fits

Build Sprint

$10,000 fixed3 weeks

Pick it when: One of our modules delivers the outcome you want.

Docketly · Digestly

  • One user outcome (2 to 3 related capabilities) working in your staging, behind a feature flag
  • Pull requests to your repo, built on sample transcripts, case files and synthetic matters
  • Quality and safety evals, the cost per user and a packaging recommendation
  • A fixed-price quote for production

Something new, or a plan first

Planning Sprint

$5,000 fixed2 weeks

Pick it when: You need something our modules do not cover, or want a plan before you build.

  • Where AI fits across your platform, including beyond our modules
  • A prioritized capability map, with what each one depends on
  • A readiness review of your architecture, data, integrations and permissions
  • A fixed-price quote to build it and take it to production

AI already built or tried

AI Scorecard

$5,000 fixed2 weeks

Pick it when: You have already built or tried an AI feature in your platform, live or not.

  • One AI feature you have built, tested in staging on 50 of your own cases, with names and contact details removed
  • Tests for invented names and citations, another matter's documents, changed figures and prompt injection
  • Cost per user and a packaging recommendation
  • A scorecard, ranked fixes, draft security answers and a fixed quote

Not a compliance audit or certification.

How the AI Scorecard works

Production, at a fixed quote

We take what your Sprint built or planned live for your users, by pull request, with no standing production access. It typically includes load testing at your peak and a spend cap per firm. Your Sprint or Scorecard fee counts toward it.

After go-live, optional support

The product is finished and yours to run. If you want us to stay on: a named lead engineer, a monthly quality and cost report, testing before any model change, and more capabilities, each at its own fixed quote.

Stop after any Sprint and keep what you got.

How a Build Sprint runs

  • In the setup week we map your platform, documents and roles and agree what the Sprint touches.
  • We follow your coding standards, tests and CI; your engineers review and merge every pull request.
  • Half at signature, half when the Sprint Pack is delivered.
  • Your time: about 2 to 3 hours a week from a product owner, plus an engineer to review pull requests.

Product improvements you can measure

What we agree to measure: quality and cost on test sets in the Build Sprint, adoption and outcomes once it is in production, so the decision to go further is made on evidence.

01

More transcripts listed

Measure

Records published per agency each month

02

Less typing for agencies

Measure

Share of fields confirmed without an edit

03

Faster fulfillment

Measure

Time from request to release, per request ID

We set the success measures with you in the setup week.

Built for confidential legal records

Controls your customers' security reviews ask about.

Each control is a design fact about how the module is built and how we work, not a compliance claim.

  • Files stay with their owner

    Extraction in the user's browser or from approved text only, with originals left in their system of record.

  • Cite, or decline

    Every answer cites its passage, and the system says so when the files do not hold the answer.

  • People decide

    Records publish, files release and edits apply only when a person confirms them.

We work within your privilege and confidentiality obligations, court rules and privacy requirements. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification, and nothing a module shows is legal advice on its own.

How we handle confidential legal records

Questions we hear on the first call

Straight answers before you book.

Does this work with the court reporting software agencies use?

Agencies select files from their own computer today. A sync from their court reporting software is a later step we scope per platform in the Product Review.

Can title page details alone reveal private information?

They can. That is why agencies confirm every field before publishing. On a live marketplace, pilot feedback led us to propose matching to counsel of record and private, agency routed requests in place of open search.

See it on your own platform.

Bring one product, workflow or AI feature. In 30 minutes we tell you which of the three ways to start fits, what it would cost to serve per user and what your customers' counsel will ask.

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