1. Ask across the governed matter
Use natural-language questions to investigate the matter and review the source-linked material behind the response rather than treating the answer as self-proving.
AI capabilities
LegalRAG Pro embeds AI into a governed legal matter. AI-assisted work sits alongside documents, evidence, chronology, people, issues, tasks, drafts and reports, so the practitioner can move from question to source-linked analysis without losing the wider case context.
Practitioner AI walkthrough
A five-minute practical guide to using source-linked AI inside the governed matter: verify the source, use Ask for a bounded question, use Case Operator for broader governed work, review advanced investigation and keep the professional decision with the lawyer.
What the AI actually does
The value is not simply that LegalRAG Pro contains an AI model. The value is that AI-assisted work is connected to the matter structures a legal team already needs to inspect and supervise.
Use natural-language questions to investigate the matter and review the source-linked material behind the response rather than treating the answer as self-proving.
Compare a proposed factual or evidential proposition with material that supports it, qualifies it, contradicts it or leaves the position unresolved.
Use AI assistance to organise events and dates while preserving disputed events, approximate dates and conflicts between sources.
Follow individuals through communications, events and documents to investigate what they did, received, authorised or may have known.
Move beyond a single question into broader, multi-step AI-assisted work from a defined objective or approved matter task, with scope and acceptance kept explicit.
Use tasks, working drafts and frozen report views to preserve useful AI-assisted work while keeping generated material distinct from professional approval and reliance.
Ask and Case Operator
Ask is for targeted analysis: what supports this proposition, what contradicts it, what remains uncertain, which document matters and where should I inspect the source?
Its value is not only the generated answer. The practitioner can move back into the governed evidence and decide whether the proposition is justified.
Case Operator is for broader work that benefits from planning and multiple steps. Define the objective, inspect the proposed scope, run the investigation and review the returned analysis and proposed next work.
Running an investigation does not make the AI the case authority. Professional acceptance remains a separate decision.
The AI workflow
The important difference from a generic chat session is that the matter remains the unit of work. The AI-assisted finding can be reviewed in the context of what the matter already contains and what the lawyer is prepared to adopt.
AI evidence in the interface


Source-linked AI
Identify the document and material said to support the AI-assisted proposition.
Check the surrounding wording, version, chronology and competing material before adopting the interpretation.
Ask whether the analytical statement is stronger than the evidence justifies and whether contrary evidence changes the position.
AI power with professional control
A chat answer is transient. A legal matter is cumulative. New documents arrive, issues change, chronology develops, tasks are completed and professional positions are revised.
LegalRAG Pro is designed so that AI-assisted investigation operates within that continuing matter rather than as an isolated conversation. The result is not “AI replaces legal analysis”. The intended model is AI expands what the practitioner can investigate, while source linkage and governance make that work inspectable.
Use the practitioner training to see Ask, Case Operator, evidence, chronology, tasks, drafts and reports together, or request a live walkthrough focused on the AI capabilities most relevant to your team.
AI + Finance
The Finance answer layer can work over frozen comparable-company and evidence authorities. Its prompt contract expressly forbids new arithmetic, recalculation, normalisation, invented metrics, changed statuses, valuations, target prices and investment advice.