Privilege and the duty of confidentiality make sending client matter to a hosted API a real exposure. We deploy self-hosted open models — Llama, Mistral, Qwen — inside your environment so privileged and confidential data never reaches an external service, fine-tuned on legal corpora so the model handles contracts, briefs, and clause language the way your lawyers do.
A hosted LLM API requires sending the prompt — often privileged communications, draft work product, or confidential client documents — to an outside provider. For a law firm or in-house department that raises duties no convenience offsets: the obligation to protect confidentiality, the risk of waiving privilege, and the prospect that a third party retains, processes, or is later compelled to produce material you were trusted to safeguard. Open-weight models remove the crossing: the model runs inside your environment and client matter never leaves.
Self-hosting also lets the model learn how your firm writes. General APIs miss defined terms, misread citation conventions, and flatten the structure of legal drafting; a model fine-tuned on your contracts, briefs, and clause libraries follows them. Because tuning runs on your data inside your walls, the model absorbs your work product without that work product ever being exported — and you keep full control of the model, its versioning, and the audit trail that ethics and clients expect.
Open models selected, adapted, and served around privilege, confidentiality, and the language of legal practice.
Value concentrates wherever client matter cannot leave the firm, language is legal, or document volume is high:
Yes — that is precisely why firms self-host. We deploy Llama, Mistral, or Qwen inside your environment so privileged communications, work product, and client documents are processed where they live and never transit a third-party API. Nothing is sent to an external provider that could later be subpoenaed, retained, or used for training, which keeps the confidentiality and privilege posture you are ethically required to maintain.
Yes. We fine-tune the base model on your legal language — contracts, briefs, memos, clause libraries, and matter precedent — so it handles defined terms, citation conventions, and drafting structure that general models get wrong. Training runs on your data inside your environment, so the model learns from your work product without that work product ever leaving the firm.
Bring your highest-volume review or drafting task and the matter data it runs on. In thirty minutes we will show how a self-hosted open model performs against your current API — on quality, on cost, and on confidentiality — and how we would take it to production. Response inside 24 hours.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: