Private AI for law firms that keeps privileged documents in-house.
Lawyers want AI for summarizing case files, drafting and reviewing contracts. Client confidentiality makes pasting those documents into a public chatbot a serious risk. Loadcore runs capable open models on servers your firm controls, so privileged material never leaves your infrastructure.
Why public chatbots are a problem for legal work
Client files contain privileged information, personal data and commercially sensitive details. Sending them to a hosted AI service means a third party processes them, under terms the firm does not control. Many firms respond by banning AI, which mostly pushes usage out of sight.
A private setup gives lawyers the tools they want under rules the firm sets.
What a private legal AI setup looks like
- Open models on firm servers. Long-context models such as Qwen3.8 27B and Gemma 4 31B handle 262K tokens, enough for large case files, on a single GPU.
- Access per practice group. Litigation, corporate and employment each get the models they need through departments.
- Personal keys. Every request is tied to a person, and keys can be revoked when someone leaves.
- Chat and API. Lawyers use the chat in the Loadcore Console. Your document management or drafting tools connect over the OpenAI-compatible API.
Typical use cases
| Task | Why it fits |
|---|---|
| Summarizing case files and correspondence | Long contexts, no data leaves the firm |
| First drafts of letters and clauses | Fast starting point, reviewed by a lawyer |
| Contract comparison and clause extraction | Structured output from long documents |
| Translation of documents | Keeps confidential content in-house |
Related
See how Loadcore supports a GDPR-friendly AI setup, or estimate the cost for your firm with the LLM cost calculator.
Frequently asked questions
Can lawyers use AI without breaching confidentiality?
The safest route is to keep client documents on infrastructure the firm controls. With Loadcore, prompts and completions are processed on your own servers and are never sent to Loadcore or to an external model provider.
Which tasks work well with open models?
Summarizing long files, first drafts of letters and clauses, comparing contract versions, extracting dates and parties, and translating. Always have a lawyer review the output, as with any AI tool.
Can we separate access between practice groups?
Yes. Create a department per practice group and grant models per department. Every request uses a personal key, so usage is traceable to a person.
Use LLMs for clinical documentation, summaries and internal knowledge without sending patient data to an external AI provider. Open models on your own GPU servers.
Run LLMs for analysis, reporting and customer service on your own infrastructure. Keep client data and confidential financial information away from third-party AI providers.
Give public servants generative AI on infrastructure the organization controls. Open models with open licenses, run in your own data center or a sovereign cloud of your choice.
Run your first model today.
Register a GPU server, pull an open model and hand your team an API key.