Four colleagues in shirts and ties reviewing case documents at a conference table
All Case Studies

// Legal & Law

McCready Law AI Assistant

RAG-Powered Legal Case Intelligence Platform

Built an AI-powered case management assistant for McCready Law that pulls criminal case data from their SmartAdvocate system, vectorizes it with Pinecone, and enables attorneys to search and query thousands of cases using natural language through a conversational chat interface.

Seconds

Case Search Time

1000s

Cases Vectorized

30+

Searchable Fields

RAG

AI-Powered Answers

McCready Law AI Assistant product screenshot

// The problem · 4 pain points

The Challenge

McCready Law attorneys needed a way to quickly search and query thousands of criminal cases without manually digging through their case management system — they needed answers in seconds, not hours.

01

Thousands of cases, no smart search

Thousands of criminal cases in SmartAdvocate with no intelligent search capability

02

Hours of manual searching

Attorneys spent hours manually searching for case patterns, precedents, and status updates

03

No plain-English questions

No way to ask natural language questions like 'show me all DUI cases from 2024 still in discovery'

04

Case data siloed in the CMS

Case data was siloed in the CMS with no semantic understanding of case content

// How it works

How It Works

Case data is pulled from SmartAdvocate, vectorized with Pinecone, and queried by attorneys through a natural language chat interface.

Data Pipeline

Case data synced daily and vectorized

  1. 01

    SmartAdvocate API

    Case data pulled from the firm's case management system

  2. 02

    Extract 30+ Fields

    Status, type, parties, dates, staff, and fees per case

  3. 03

    Vector Embeddings

    Cases embedded for semantic search

  4. 04

    Pinecone Index

    Vector database kept current with daily syncs

AI Agent

Plain-English questions routed to the right tool

  1. 01

    Attorney Question

    A natural-language question, like DUI cases still in discovery

  2. 02

    LangGraph Agent

    Agentic workflow decides how to answer

  3. 03

    Tool Selection

    Search, case lookup, pattern counting, or time-on-desk analysis

  4. 04

    Semantic Search + Reranking

    Metadata-filtered vector search, reranked for relevance

Response

Streamed answers in a secure chat

  1. 01

    Google Vertex AI

    The model composes the answer from retrieved cases

  2. 02

    Streaming Response

    Answers stream back in seconds

  3. 03

    React Chat UI

    Firm-only chat interface with markdown and dark mode

// What we built

Our Solution

1

SmartAdvocate Data Pipeline

Built automated sync pipelines that pull case data from the SmartAdvocate API, extract 30+ metadata fields per case (status, type, parties, dates, staff, fees), and keep the vector database current with daily syncs.

2

Vector Embedding & Semantic Search

Vectorized all case data using Pinecone with llama-text-embed-v2 embeddings and bge-reranker-v2-m3 for reranking, enabling semantic search across thousands of cases with metadata filtering by status, type, and year.

3

LangGraph AI Agent

Built an agentic workflow with LangGraph and Google Vertex AI that autonomously decides which tools to use — semantic search, case lookup, pattern counting, or time-on-desk analysis — based on the attorney's natural language query.

4

Chat Interface

Developed a React chat UI with real-time streaming, markdown rendering, dark mode, and Firebase authentication — restricted to approved McCready Law email domains.

// In their words

Our attorneys were spending hours digging through SmartAdvocate trying to find case patterns and status updates across thousands of criminal cases. 27nodes built us an AI assistant that connects directly to our case management system — now our team just asks a question in plain English, like 'show me all DUI cases from 2024 still in discovery,' and gets an answer in seconds. It searches across every case we have, understands the context, and pulls up exactly what we need. This has been a game-changer for how our firm operates — what used to take hours of manual searching now happens instantly.

M

Michael M.

Owner · McCready Law

// Technologies used

Built With

LangChain
LangGraph
Google Vertex AI
Pinecone
Node.js
Express
React
TypeScript
Firebase
Google Cloud

// Boca Raton, FL → nationwide

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