Early Case Analysis

Know your case on day one.

From complaint logged to team assignment

Complaint logged

Work begins the day the complaint is logged. The matter is opened in a secure, access-controlled workspace.

Corpus ingested & normalized

Relevant documents are ingested and normalized so the matter can be searched, reviewed, and cited consistently.

Key players, claims & issues mapped

AI surfaces the key players and organizes the claims and issues raised, giving the team an early structured read of the matter.

Risk & cost picture

A structured risk and cost picture is presented to support early planning and resourcing decisions.

Team assignment

With the early read in hand, the matter can be staffed and assigned with better information.

Grounded answers you can check

The value of Early Case Analysis is not just speed — it is answers a lawyer can verify. Grounded Q&A with citations and explicit uncertainty flags keeps the human in control of what the AI produces.

Client-side confidentiality

Early Case Analysis is designed to run on client infrastructure, keeping the matter corpus within your control.

Grounded Q&A with source citations

Questions are answered using retrieval grounded in the matter corpus, and every answer carries citations back to the source documents.

Uncertainty flags

When the system is not confident, it says so. Uncertainty flags mark answers that need a closer human look — a genuine differentiator, not a black box.

Design target: Litigit is designed to bring routine intake-to-response-draft within about an hour, and to make hours-per-matter measurable. These are design targets, not measured averages.

Reduce the data before you review it

Early culling and normalization feed directly into a defensible eDiscovery process.