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RAG & Knowledge Systems

Legal Summarizer

Legal Summarizer is a Python and Streamlit application that processes legal documents, retrieves relevant passages through BM25 ranking or semantic search, and supplies the selected context to an LLM for structured summaries.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Legal Summarizer — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it as a reading aid when a contract or agreement is difficult to navigate and you want relevant passages gathered before an LLM produces a structured summary.

Who it is for

  • People reviewing contracts, agreements or other legal texts who want key clauses summarized.
  • Developers seeking a documented RAG application pattern for legal-document retrieval and summarization.

Documented uses

  • Summarize contract clauses with retrieved supporting passages.
  • Retrieve relevant information from legal documents using keyword or semantic search.
  • Extract and organize agreement topics to support searchable review.
Before you choose

Requirements & limits

  • The described workflow includes document extraction, chunking and topic tagging before retrieval.
  • BM25 supports keyword-oriented matching; semantic search is described as context-based retrieval.
  • The project names Python 3.10 and Streamlit 1.27.2 and documents setup for Windows, macOS and Linux.
  • The README includes a setup and launch sequence, while model credentials and configuration are not detailed in the available instructions.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the Legal Summarizer application

Create the documented Python environment, install dependencies and start the Streamlit application.

Before you start

  • Python 3.10
  • A local copy of the repository
  • Windows, macOS or Linux

Steps

  1. Create a virtual environment with the command below.

    Documented command
    python -m venv venv

  2. Activate it using the Windows command venv\Scripts\activate or the macOS/Linux command source venv/bin/activate.

  3. Install dependencies with the command below.

    Documented command
    pip install -r requirements.txt

  4. Start the app with streamlit run summarize.py.

Expected outcome

The documented command starts the Streamlit application.

Guide limitations

  • The README does not specify model credentials or configuration details in the available setup instructions.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
18 October 2026
Original website title
d1pankarmedhi/legal_summarizer · Official homepage title · retained in its source language
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