← All industries

Lurus for law firms

Accelerate legal knowledge work. Keep professional judgment in control.

Structure matters, conduct source-based research, and prepare working drafts in a controlled AI workspace.

Model choice

Many models. One controlled workspace.

Lurus brings different model routes into one shared interface. Choose what fits the task, privacy requirements, and workflow.

Explore all models
  • Z.ai
  • Claude
  • DeepSeek
  • FLUX
  • Gemini
  • Gemma
  • Kimi
  • Meta
  • MiniMax
  • Mistral
  • NVIDIA
  • OpenAI
  • Qwen
Starting point

Confidential work requires clear guardrails.

Law firms need transparent data paths, defined access, and results that are consistently reviewed by legal professionals. Lurus supports preparatory work but does not replace legal assessment.

Privacy and control

Review safeguards for your concrete use case.

Lurus combines encrypted transmission, roles and permissions, audit logs, and selectable storage options. Each concrete use case still requires organizational and professional review.

Approved data
Controlled AI workflow
Responsible approval

Privacy and control

Understand data paths clearly.

The security page explains storage, model paths, roles, and technical safeguards.

Explore security →

Professional secrecy

Section 203 professional secrecy agreement available on request.

For suitable use cases, we provide the required agreement directly and discuss the organizational framework with you.

Request a Section 203 professional secrecy agreement

Controlled adoption

Start small and assign responsibility clearly.

  1. 1

    Scope the workflow

    Begin with a clear task, defined inputs, and a reviewable result.

  2. 2

    Define data and roles

    Define approved data, access, and responsibilities before adoption.

  3. 3

    Embed review

    Have responsible people approve sources, results, and external use.

Frequently asked questions

Questions about your industry.

Review your first workflow together.

Start for free or discuss requirements, data, and review paths in a personal demo.