An AI that knows your firm. Your data never leaves.
Public AI tools are useful, but sending client files to them is not an option for many firms. We install a language model on servers in your office and connect it to your own documents. Your team asks questions in plain language and gets answers drawn from your own records.
- Who it is for
- Law firms, healthcare, finance, and any firm with confidential records.
- First step
- A discovery session: which documents, which questions, which people.
- Typical timeline
- A working pilot in 3 to 4 weeks.
- After handover
- Training for your team, and ongoing updates to models and access.
What we install
Everything runs on hardware in your office. Nothing depends on an outside AI service.
Hardware, on site
Servers with the GPUs the workload needs, installed in your office.
Open models, offline
Open-weight language models that run without an internet connection.
Your documents, searchable
Connected to your files, with every answer citing the document it came from.
Access by role
Each person only gets answers from documents they are allowed to open.
Training and updates
Your team trained to use it well; models and security kept current.
How a project runs
You try it on your own documents before committing to a full roll-out. How we work →
- 01DiscoveryWhich documents, which questions, which people.
- 02Pilot design and quoteHardware, scope and price for a pilot.
- 03Install and connectThe model installed on site and linked to your files.
- 04PilotYour team uses it on real work and tells us what to change.
- 05Roll-out and supportWider access, training and ongoing updates.
Questions
What firms usually ask us before installing private AI. Anything else, ask us directly.
Does any of our data go to an outside AI company?
No. The model runs on hardware in your office and works without an internet connection. Nothing is sent outside.
How do open models compare with the big public tools?
For answering questions from your own documents, current open models do the job well. The pilot lets you judge on your own files before you commit.
What hardware do we need?
It depends on how many people use it and how many documents it covers. We size it in discovery and quote it in the proposal.
Will it make things up?
Any language model can be wrong. We set it up to quote and link the source document for every answer, so your team can check.
Who can see what?
Access follows your existing permissions. A person only gets answers from documents they are already allowed to open.
The other four services
Tell us what your firm runs on.
- tech@nationalgroupindia.com
- Visit
- 7th Floor, SKAV 909, Lavelle Road, Bengaluru 560001
- Hours
- Monday to Friday, 9 am to 6 pm
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