Legal AI software for legal tech platforms
Your legal platform, with AI that cites the record and keeps every approved name and figure as written.
For court reporting, transcript, legal document and records software with live users. We build AI into your product from your own documents, keep confidential files where they belong, and ship it under your name.
- Every answer cited to its page, or declined
- Confidential files stay where they belong
- A person confirms what is published or released
Three ways to start, from $5,000: Build Sprint · Planning Sprint · AI Scorecard
app.tessaline.example / calloway-ridge / transcripts
Calloway Ridge Reporting · New transcripts
Read in the browserDocketly by Datics AI · Try it step by step →
Illustrative demo on a fictional agency and firm. Not client work.
Who it is for
Built for established legal tech platforms.
Each page leads with the modules that fit that kind of platform, the questions its buyers ask and where most teams start.
Building practice management, billing or e-discovery software? Tell us what it does, and we tell you plainly whether we fit.
Book a 30-minute Product ReviewWhy legal AI stalls in established platforms
What gets in the way, and how we handle it.
- 01
Confidential files on your servers
Files stay with their owner
Extraction runs in the customer's browser or reads approved text only, so originals stay in their system of record.
- 02
Answers nobody can check
Cite, or decline
Every answer cites the passage it came from, and when the files do not cover a question, it says so.
- 03
A model that rewrites the facts
Approved terms locked
Approved names, places and acronyms are locked before any check, and only flagged spans go to the model.
- 04
Matters that must never mix
Scope before ranking
Retrieval is filtered by tenant, matter and clearance before anything is ranked, and fails closed.
- 05
AI that could publish or release
People release
AI reads, drafts and checks; a person publishes every record and releases every file.
Why AI earns its place in your product
List more records
Title pages read for the agency.
Agencies confirm fields instead of typing them, and the file stays on their computer.
Keep users
Answers attorneys can check.
Cited answers from the matter's own files, inside the platform where the files are kept.
Easier to review
Built for confidential work.
People decide, sources are shown, and files stay with the party that owns them.
Modules by Datics AI
Start from AI we have already built, not from zero.
Legaltech AI you can see before you buy: each module runs on a fictional agency or firm and builds on document AI and legal platform work we have delivered. The list also includes two services, one of them encryption, not AI.
Agencies select a transcript, and its title page fills itself without the file leaving their computer.
Fits: Transcript marketplaces, court reporting software, deposition and records platforms
A deposition summary by topic and witness, with every statement cited to page and line.
Fits: Court reporting platforms, litigation support and deposition software, transcript archives
Names, contact details, account numbers and marked terms found and proposed for redaction, with a reason for each.
Fits: Legal document and production software, records release platforms, transcript marketplaces
Contracts and their amendments read into clause fields, each value with the page it came from.
Fits: Contract management and contract review software, legal document platforms, procurement tools
Transcripts sold and released through your platform, readable only by the attorney who paid.
Fits: Transcript marketplaces, records release and legal document delivery platforms
Ask a question of a matter's files and get an answer that cites the page, or says the files are silent.
Fits: Legal document management, knowledge and research platforms, transcript and records archives
Grammar, paraphrase and style checks that leave every approved name, date and figure as written.
Fits: Legal drafting and knowledge platforms, transcript and summary tools, archive and records software
Every statement in a draft checked against the record, with the page behind each result.
Fits: Legal drafting, research and knowledge platforms, deposition summary and review tools
Request, payment and release flows changed in stages on a live legal platform, while it keeps running.
Fits: Legal marketplaces, court reporting and records platforms with live users
Docketlyby Datics AI
AI transcript indexing for court reporting platforms
Agencies select a transcript, and its title page fills itself without the file leaving their computer.
Fits: Transcript marketplaces, court reporting software, deposition and records platforms
Digestlyby Datics AI
AI deposition summaries with page and line citations
A deposition summary by topic and witness, with every statement cited to page and line.
Fits: Court reporting platforms, litigation support and deposition software, transcript archives
Redactlyby Datics AI
AI redaction proposals before documents are released or produced
Names, contact details, account numbers and marked terms found and proposed for redaction, with a reason for each.
Fits: Legal document and production software, records release platforms, transcript marketplaces
Clauselyby Datics AI
Clause extraction for AI contract review software
Contracts and their amendments read into clause fields, each value with the page it came from.
Fits: Contract management and contract review software, legal document platforms, procurement tools
Custodlyby Datics AIService
Encrypted transcript and record release for legal marketplaces
Transcripts sold and released through your platform, readable only by the attorney who paid.
Fits: Transcript marketplaces, records release and legal document delivery platforms
Recordlyby Datics AI
AI legal document review with cited answers
Ask a question of a matter's files and get an answer that cites the page, or says the files are silent.
Fits: Legal document management, knowledge and research platforms, transcript and records archives
Prooflyby Datics AI
AI legal writing help that keeps names and figures
Grammar, paraphrase and style checks that leave every approved name, date and figure as written.
Fits: Legal drafting and knowledge platforms, transcript and summary tools, archive and records software
Attestlyby Datics AI
AI claim checking of legal drafts against the record
Every statement in a draft checked against the record, with the page behind each result.
Fits: Legal drafting, research and knowledge platforms, deposition summary and review tools
Legal platform engineeringby Datics AIService
Legal software development for transcript and records platforms
Request, payment and release flows changed in stages on a live legal platform, while it keeps running.
Fits: Legal marketplaces, court reporting and records platforms with live users
Also for your product
Your product, inside Claude and ChatGPT.
We build a connector so your users can ask their own AI assistant about their data in your product, each signed in with their own login and seeing only what they can already see. It starts read-only, only the fields you approve leave your product, and actions each user approves can come later.
How we build connectorsWhich transcripts in this matter are still waiting on the reporter?
Two, with the deposition date and the expected delivery for each.
Proof
Our legal tech and document AI work.
Legal platform work for Transcripts U.S., and document intelligence for Neno Technologies (NenoDoc Lexicon and NenoBrief) and WikiTeq, and claim verification for SovrenAI.
57 featured AI case studies across our work
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.
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.
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.
More document AI work
NenoDoc Lexicon by Neno Technologies
Document AI · Self-hosted workspace
Archive teams get cited answers in French and English on one client-owned GPU
Sensitive archives could not go to an outside AI. Now teams ask in French or English and get answers cited to the page, all on the client's GPU.
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.
WikiTeq
AI engine · Cited document answers
WikiTeq's self hosted AI chat now answers from its documents, citing every source
The chat could not answer from the firm's own documents. Now a separate retrieval service feeds it passages and shows the source of each answer.
“What impresses me the most is their belief in our vision and willingness to work through challenges alongside us.”
Keli McGilton · Co-Founder, Transcripts U.S.
See the work
How it works
Three ways to start, each at a fixed price.
A 30-minute review tells you which one fits. Whichever you pick, you know the production price before you commit, and your fee counts toward it.
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 ReviewNo 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 · Redactly · Clausely · Recordly · Proofly · Attestly
- 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 worksProduction, 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.
Need integrations first? Custodly covers files only the paying attorney can open. Ask in the Product Review.
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 recordsIn AI and data since2018
- AWS: Select Tier Partner
- Anthropic: Partner · Claude models
- CopilotKit: Agent user interface
- LangGraph: Production agent engineering
- Databricks: Governed AI & agent workflows
- Cursor: Agentic development environment
- Microsoft Azure: Production AI delivery
- Google Cloud: Production AI delivery
AI shipped inside products for
Questions we hear on the first call
Straight answers before you book.
The questions legal tech product and engineering leaders ask most.
Do you build AI for law firms?
We build for the software companies that serve law firms, court reporting agencies and records teams. If your product brings AI into law firms' daily work, we build it inside your product, under your name, for your customers.
How do you stop the AI inventing a name, date or citation?
Answers come only from the passages retrieved for that user, each cited to its page, and the system declines when the files are silent. In writing tools, approved names, places and acronyms are locked before any check; names, numbers and attributions in a paraphrase are pinned and checked again after.
Can the AI publish a record or release a file?
No. It reads, drafts and checks. The agency or firm confirms each record, and every release or production needs a person's approval.
Can it run without sending files to an outside AI service?
Yes. We have built document AI that runs fully self-hosted on client-owned GPU hosts, with self-hosted OCR, and transcript extraction that runs in the user's browser.
Do you build AI contract review software?
We build the extraction underneath it. Clausely, our reference build, reads clauses and terms into your fields and leaves a missing clause blank and flagged, never guessed; the page behind each value is what a Build Sprint adds. It does not advise whether a term is good; your users and their counsel decide. A reviewer accepts each record. It builds on contract field extraction we have delivered and on version comparison inside a cited document platform.
Do you need our customers' documents in the Sprint?
No. Sprints run on sample transcripts, sample case files and synthetic matters in your staging, and code reaches your product as pull requests.
How do you choose a legal software development company?
Look for a team that has shipped AI and platform changes into live legal and document products: confidential files, citations users can check and roles that keep matters apart. Ask where the files go, who decides when the AI is wrong and who owns the code. We answer each of these in the Product Review, with the work behind it.
Who owns the code?
What we build for your product lives in your repository and ships under your name. The reusable engine underneath stays ours and is licensed to you; the terms are in your contract.
Do you have SOC 2?
Not yet. We work in your staging by pull request, under your accounts, and in production only through access you grant and can revoke.
Where are you based?
Datics is headquartered in Austin, Texas, with a named lead engineer and US-hours overlap on every engagement.
Legal tech insights
How we think about the hard parts.
Answers for product and engineering leaders, from the team that builds it.
RAG and AI assistants
How do you stop hallucination in AI document extraction?
AI document extraction from long documents gets reliable with type detection, retrieval per field, clear field definitions and empty values, not guesses.
Rana Umar Majeed · Sep 14, 2026RAG and AI assistants
RAG evaluation: how do you test that citations hold up?
RAG evaluation must check more than whether citations exist. Test that each cited passage supports its claim and that answers decline when sources are silent.
Rana Umar Majeed · Oct 21, 2026AI security and compliance
How does RAG security scope retrieval to user permissions?
RAG security in multi-tenant SaaS starts with whose documents a question may search. Learn how to filter by tenant and permission before ranking.
Rana Umar Majeed · Oct 20, 2026AI security and compliance
How do you enforce tenant isolation beyond database rows?
Tenant isolation beyond database rows means boundaries per field and per role, in caches, files, payments and jobs, so no tenant sees what another owns.
Rana Umar Majeed · Oct 29, 2026AI agents
Where should human in the loop AI review happen?
Human in the loop AI works when review happens field by field, before anything ships. Learn where to place checkpoints and how to measure accuracy.
Rana Umar Majeed · Oct 16, 2026AI security and compliance
How do you build an AI audit trail you can reproduce?
An AI audit trail records who or what made each change, with which inputs and model, so reviewers can tell AI entries apart and reproduce any output.
Rana Umar Majeed · Sep 4, 2026See 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.
Own several legal software products? Datics for private equityCalls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.