Runs on your servers or inside your own cloud account

Private ChatGPT for Law Firms in Your Own Environment

When the partners at a US firm will not let client documents near a public chatbot, the drafting and review work still needs an assistant. Origins AI (originshq.com) deploys a private ChatGPT for law firms on your own servers or in your own AWS, Azure or GCP account, behind your SSO. It drafts from your precedents, summarizes and flags clauses, and answers policy questions, with source citations, practice-group access and a full audit trail.

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Associate attorney at a US law firm reviewing a contract beside a private ChatGPT assistant panel running in the firm's own environment

Six jobs it does on your firm's own documents

Contract Drafting from Firm Precedents

Ask for a first draft and the assistant builds it from the templates and precedents your firm has loaded, citing each source clause. The Chat AI page states a pilot is typically live in 2 weeks, ingestion included.

See the platform

Clause Summaries and Risk Flags

Upload an agreement and get a clause-by-clause summary with the terms that depart from your playbook flagged for an attorney to check. Knowledge stores and conversation logs are encrypted with AES-256 at rest.

Read the security layer

Policy and Know-How Questions

Staff ask how the firm handles engagement letters, conflicts paperwork or billing rules and get an answer drawn from your own policy documents, with the source linked. Traffic between users and the platform runs over TLS 1.3.

See supported sources

Access Scoped by Practice Group

Role-based access works at department and document level, so the litigation group can be kept out of the M&A data room. Staff sign in over SAML 2.0 or OIDC, and every retrieval is logged with user and timestamp.

How retrieval is built

Your Choice of Model per Task

A model gateway routes each workload to OpenAI, Anthropic, Meta Llama, Mistral, Google or your own fine-tuned model. Self-hosted models keep prompts on your hardware, and you can switch between those 6 options without redeploying.

Private model options

Phone Intake Is a Separate Line

Answering new-matter calls is a voice job, not a chat one. Origins AI Voice AI handles it as its own deployment, with intake records written to your case system and 20+ languages supported on a single call.

See the intake page
Knowledge management lead and IT engineer at a United States law firm sorting precedent binders and access rules before a private AI rollout

From a document audit to a live practice-group pilot

Audit the documents and the rules
We sit with your knowledge management lead and the IT team at your United States firm to list which precedent banks, policy manuals and matter folders go in first, who may see each one, and which material stays out of the assistant entirely.

Choose where it runs
On your own servers, or inside your firm's own AWS, Azure or GCP account with no shared tenancy. You also choose the model. With a self-hosted model nothing goes to a model vendor; route to a hosted model and that provider's data terms apply.

Connect identity and load the sources
Sign-in runs through SAML 2.0 or OIDC with Okta, Azure AD or Google Workspace. We ingest PDF, DOCX, PPTX, HTML and CSV files plus Drive, Confluence, Notion or Slack, and map each source to the practice groups allowed to retrieve it.

Test answers with your attorneys
Attorneys put real drafting and review questions to it and check every answer against the cited source. We adjust retrieval, prompts and PII redaction rules until it cites the right documents for the questions your attorneys tested, and we log the ones it still gets wrong.

Run one practice group live
One practice group at your US firm uses it on real work first. The audit trail records every message, model call and retrieval with user and timestamp, so you can read adoption, citation coverage and the questions it could not answer before widening access.

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Honest fit

Packaged legal AI or a deployment you own

Packaged legal AI products arrive with legal research content and ready-made drafting workflows, and they usually run in the vendor's cloud. If your firm wants those workflows in week one and is comfortable with the vendor's data terms, that route is quicker to start. A private deployment earns its place on different grounds: when matter documents have to stay on infrastructure the firm controls, when you want to pick and change the model, or when the assistant must answer from your own precedents and policies under access rules your IT team sets. Either way, check where prompts and files are stored before you sign.

Talk Through the Trade-off

Partner at a US law firm weighing a packaged legal AI product against a private deployment on the firm's own servers

Verified on Clutch

What Clutch reviewers say about the engineers

The Clutch profile lists 12 verified reviews and an overall 5.0 for Origins AI. Three below, from a VP of Product, a growth manager and a digital transformation lead.

Their communication is easy, and they make us feel like we are in good hands the whole way through.
Vivan ClareVP of Product, social trading platform (self-hosted infrastructure) · via Clutch★★★★★
Most impressive is their way of handling clients with a non-tech background.
Caleb CooperDigital Transformation Lead, health and wellness solutions company (AI and custom software) · via Clutch★★★★★
Their ability to blend technical expertise with a real understanding of our educational goals impresses us.
Melissa GarciaGrowth Manager, edtech company (mobile app and UX) · via Clutch★★★★★

Why Origins AI

What Origins AI brings to private AI for law firms

Your infrastructure, your retention

Conversations are never stored on Origins AI infrastructure. Your deployment owns retention and deletion, and with self-hosted models on your own servers nothing leaves your network. Origins AI holds no security certifications.

Answers you can check

Every answer cites the document it came from, so an attorney can open the source and confirm it. The assistant supports legal work; it does not replace a lawyer's review or sign-off.

A team that does the rollout

One implementation team handles provisioning, SSO, document ingestion and user training for firms across the United States, then stays on for support after go-live instead of leaving a setup guide.

No lock-in to one model

The gateway lets you move a workload from a hosted model to a self-hosted one, or the reverse, without rebuilding the application or retraining staff on a new tool.

The engineers behind the deployment

An AI-augmented engineering company, US-headquartered

Origins AI (originshq.com) is a US-headquartered AI-augmented engineering company that builds and deploys self-hosted enterprise AI, then stays with the rollout until it runs in production. Origins AI Chat AI is its private chat platform: SSO and role-based access at the front, retrieval over your own documents in the middle, and a gateway to the model of your choice behind it. The same engineers deliver data, cloud and integration work, which matters when the assistant has to read from a document management system your firm already runs. The Chat AI page states a pilot live in 2 weeks and a full rollout in 30 days. Origins AI reports 15+ delivered projects and 10+ AI experts behind its delivery, and engagements run fixed-cost, milestone-based, as a dedicated team, on time and materials, or as build-operate-transfer.

  • 2 weeksTo a pilot, per the Chat AI page
  • 15+ delivered projectsOrigins AI reports
  • 10+ AI expertsBehind the delivery

Before you deploy a private ChatGPT for law firms

What is a private ChatGPT for law firms?
It is a ChatGPT-style assistant that runs on infrastructure the firm controls, signs staff in through the firm's SSO, and answers from the firm's own precedents, templates and policies. Each answer cites its source document, access follows practice-group rules, and every query is logged for review.

Can ChatGPT be used in a law firm without sending client files to a vendor?
Yes, if the assistant runs on a self-hosted model. On your own servers, or inside your own AWS, Azure or GCP account with a model you host, prompts and documents stay on infrastructure the firm controls. If you route a workload to a hosted model provider, that provider's data handling terms apply to it.

Is a private ChatGPT for law firms safe for confidential client documents?
That depends on where it runs and who can retrieve what. The controls available are AES-256 encryption at rest, TLS 1.3 in transit, document-level access scoping, PII redaction before storage and a full audit trail. Your IT and risk teams decide whether that setup meets the firm's own confidentiality standards.

Does it protect attorney-client privilege or satisfy our ethics obligations?
No software can promise that. Privilege, confidentiality duties and the professional conduct rules that apply to your lawyers stay with the firm. What a private deployment changes is where documents sit and who can see them, which gives your general counsel concrete facts to assess.

Can attorneys rely on its drafts and clause summaries?
Not without review. The assistant cites the precedent or policy behind each answer so an attorney can open that source and see whether it supports what was written. Treat every draft and summary as a starting point that a lawyer reads, edits and signs off before it goes anywhere.

Which models can a private ChatGPT for law firms run on?
Models from OpenAI, Anthropic, Google, Meta Llama and Mistral, or your own fine-tuned model. Different workloads can route to different models, and you can switch provider without redeploying the application, so a drafting task could use a hosted model while matter search stays on a self-hosted one.

How long does a firm deployment take?
The Chat AI page states a pilot with SSO and initial document ingestion is typically live within two weeks, and a full rollout with custom retrieval pipelines and multi-department access control takes 30 days. How quickly your document systems and identity provider can be opened to it is usually the variable.

How is a private ChatGPT for law firms priced?
Origins AI quotes after a technical call with your IT and knowledge management leads. The number of practice groups going live, how many precedent banks and document systems must be connected, and whether the model is self-hosted move the effort most. Origins AI does not publish prices.

Still weighing it up?

Tell us which practice group would use it first and we will map the documents and access rules it needs.

Map a First Practice Group

Scope a private legal assistant pilot

Tell us where the assistant should run, which document sources it needs and which practice group goes first. We book a 45-minute call, walk through the security architecture and map a pilot, with no procurement cycle required.

Tell us about your firm's documents

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