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LQ.AI

What is LQ.AI?

Explanation
  • evaluator
  • operator
  • agent

LQ.AI is an AI workspace for legal teams that runs on computers you control. Work with your documents, ask questions, and attach reusable instructions called skills. You choose the AI services the workspace uses and review the answers against their sources.

LQ.AI in action

Ordinary LQ.AI document chat answers a fictional NDA follow-up about when the five-year confidentiality clock starts, quoting from the date of disclosure; the sample is ready and the response shows Tier 1.
Ask a focused question, then compare the answer's quoted wording with Section 4 of the fictional NDA. Completed ordinary chat using the configured local GLM model in LQ.AI v0.8.0. The displayed quote matches the sample; the UI badges do not replace your review. This is separate from the skill-chooser example. Open full-size screenshot

These examples use fictional material. AI answers require review; each caption identifies the workflow shown.

See more product examples
The fictional NDA demo matter contains a chat with sample-nda.md attached and marked ready.
Upload the fictional NDA and wait for its ready status before asking a question. Fresh LQ.AI v0.8.0 capture. Ready confirms text extraction, independently of a model answer. Open full-size screenshot
LQ.AI's Contract QA skill chooser beside the fictional NDA marked ready in the chat's attached files.
The fictional NDA is attached and marked ready; the Contract QA skill chooser is open beside it. Ordinary chat in LQ.AI v0.8.0. Ready confirms text extraction; an AI answer is a separate check. Open full-size screenshot
The completed fictional NDA response's Tier 1 details identify the host-ollama provider, with the question, answer and ready document behind the dialog.
Open the response's tier badge to inspect the declared route and provider. This response used the configured local route. A Tier 1 badge on one answer does not establish that document search, fallbacks or other enabled connections are local. Open full-size screenshot
LQ.AI's My skills page lists the built-in Contract Snapshot, MSA Snapshot and NDA Snapshot reference skills with Table badges.
Browse the built-in table-mode examples before choosing a multi-document review workflow. Fresh LQ.AI v0.8.0 library view. This screenshot shows the available examples, not a completed tabular review. Open full-size screenshot
From your material to a reviewed answer
From your material to a reviewed answer From your material to a reviewed answer

Bring a question and document context, optionally attach a reusable skill, ask a configured model, and review the answer against its sources. Refine the question or context when the result needs more work.

Open full-size diagramOpen full-size diagram
Diagram source
flowchart LR
    accTitle: From your material to a reviewed answer
    accDescr: Bring a question and document context, optionally attach a reusable skill, ask a configured model, and review the answer against its sources. Refine the question or context when the result needs more work.
    material["Your question and document context"] --> request["Ask a configured model"]
    skill["Optional reusable skill"] --> request
    request --> review["Review the answer and its sources"]
    review -.->|Refine the question or context| material

You need someone responsible for installation, updates, access, and backups. Start with made-up information while you check whether the setup and its workflows suit your team.

Decide whether it fits

Section titled “Decide whether it fits”

LQ.AI’s focus is in-house legal work, including a legal team of one. The useful question is whether its current capabilities match your tasks and whether your team can operate the installation. Read the fit assessment before investing in a deployment; it includes limitations and reasons to choose another approach.

Try a first document

Section titled “Try a first document”

The quickstart takes you through installation, sign-in, and uploading a fictional document. Uploading a document successfully and getting an AI answer are separate checks: asking a model or searching a knowledge base also needs the appropriate model configuration.

Use the repository’s fictional NDA for the example. Keep real client material out of the first experiment. Before connecting a model, review what information may leave the deployment.

Next

Section titled “Next”