Make your legal documents searchable by meaning and keyword

Organizes your legal documents into a searchable database that understands both meaning and exact keywords.

How the work actually flows

A straight line. Runs once per each document in the collection.

Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(("document collection loaded")):::human s0[["split into searchable sections"]]:::mi s1["generate keyword and meaning indexes"]:::svc s2[("store in search database")]:::store trig --> s0 s0 --> s1 s1 --> s2 out[/"searchable legal document database"/]:::out pay{{"find precedent in seconds"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
An outside serviceRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Knowledge Base & RAG
Connects
QdrantOpenAI
Featured in

The problem it solves

Searching through a large library of legal documents for the right case or clause takes forever when you can only search by exact keyword. You end up scrolling through documents that mention the right word but miss the ones written a different way. Finding precedent or the right reference should not take all afternoon.

Who it fits

Law firms and legal teams that need to search a large library of case documents quickly and accurately.

How it works

  1. Your legal document collection is loaded and prepared
  2. Each document is broken into searchable sections
  3. The system generates both keyword and meaning-based search indexes
  4. The organized data is stored in your search database, ready to query
What you get

Cases your team can search by meaning, not just keywords

Your entire legal document library becomes searchable by meaning and keyword, so your team finds the right case fast.

What you get

A searchable database of your legal documents that returns relevant results by keyword and by meaning.

What you need

A Qdrant account and an OpenAI account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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