AI Legal Research with Citation-Verified Answers from Hong Kong Judiciary Case Law, e-Legislation, and Your Matter Files

Ask legal questions in plain English and get answers grounded in real authorities—not generic model knowledge. Filter by source, scope to a matter, and drill into cited text before anything reaches a memo or client update.

Legal AI for Hong Kong →

Who it is for

Litigation teams researching authorities, advisory lawyers drafting client memos, and in-house counsel tracking regulatory change. If your workflow depends on traceable citations, generic chat tools are not enough.

  • Case law and statute research across Hong Kong sources
  • Matter-scoped Q&A across uploaded contracts and briefs
  • Citation drill-down to source text before filing or sending
  • Conversation history to resume past research sessions

How legal research works

01

Source filters

Narrow retrieval to Hong Kong e-Legislation, Judiciary case law, your uploaded matter documents, or the built-in clause library. You control which corpora each question searches.

02

Case law search

Search HK case law by citation, party name, or keywords. Combine public authorities with private matter files in one workspace.

03

Document scoping

Limit a query to selected uploads so associates on one matter do not retrieve unrelated client material.

04

Citation verification

Every answer links to underlying source text. Cross-check cited cases and statutes against authoritative databases before outputs reach a deliverable.

05

Jurisdiction filtering

Filter by Hong Kong, Singapore, UK, or US law so reasoning stays matter-relevant. Hong Kong firms get native Hong Kong Judiciary and e-Legislation integration.

Deployment and privacy

Choose what fits your firm.

On-premise: a licensed appliance runs inference, storage, and retrieval on your network.

Cloud: built-in AI API with token-based billing—no separate model-provider keys required.

See the FAQ for deployment and pricing details.

Also need contract review?

Run playbook-guided reviews with pass, warn, and fail findings alongside your research workspace.

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