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{ "item_title" : "Build an AI Legal Assistant", "item_author" : [" Alira Vexel "], "item_description" : "Build an AI Legal AssistantStep-by-Step Guide to Full NLP Pipelines with RAG, GPT-4, LangChain & Legal DatasetsUnlock the future of legal technology with the ultimate hands-on guide to building your own AI-powered legal assistant.Whether you're a developer, legal engineer, or legal tech enthusiast, this book gives you everything you need to design and deploy powerful legal NLP systems using today's most advanced tools-GPT-4, LangChain, RAG pipelines, vector databases, and real-world legal datasets.From parsing court opinions to generating citation-aware summaries and red-flagging risky contract clauses, you'll learn how to build production-grade legal AI tools that actually work.What You'll Build:A contract parser that extracts and labels legal clausesA Q&A system over statutes and case law with real citationsA risk detector for indemnity, arbitration, and liability termsA legal summarizer that cites its sources in Bluebook formatA full frontend web app using Streamlit for legal workflowsA complete RAG pipeline with vector search and GPT-4 logicBuilt-in hallucination detection and eval harness for legal accuracyA Dockerized deployment to Render or VercelTechnologies Covered:LangChain Retrieval & Memory ChainsOpenAI GPT-4 & Function CallingWeaviate, FAISS, ChromaDB for vector storageLegal NLP parsing and clause chunkingPrompt templates tailored for legal alignmentStreamlit UI with real-time summarizationEval Harness for legal output benchmarkingGitHub Actions & CI/CD pipelines for production rolloutWho This Book Is For:Python developers and AI engineers entering legal techLegal professionals exploring GPT-4 tools and automationLegal ops, paralegals, and contract managers interested in LLMsAI product builders and founders in legal innovationIncludes:End-to-end project labs for real-world use casesAppendices with legal datasets, Streamlit templates, prompt librariesTroubleshooting guides and hallucination mitigation techniquesCareer roadmap in Legal AI, freelancing, open-source, and researchIf you're ready to transform how legal work gets done, automate tedious tasks, and build AI systems with real-world legal value, this book is your blueprint.Build smarter legal tools with AI. From parsing to prompt engineering, this is the full-stack guide for Legal NLP in 2025 and beyond.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/829/852/9798298529662_b.jpg", "price_data" : { "retail_price" : "20.99", "online_price" : "20.99", "our_price" : "20.99", "club_price" : "20.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Build an AI Legal Assistant|Alira Vexel

Build an AI Legal Assistant : Step-by-Step Guide to Full NLP Pipelines with RAG, GPT-4, LangChain & Legal Datasets

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Overview

Build an AI Legal Assistant

Step-by-Step Guide to Full NLP Pipelines with RAG, GPT-4, LangChain & Legal Datasets

Unlock the future of legal technology with the ultimate hands-on guide to building your own AI-powered legal assistant.

Whether you're a developer, legal engineer, or legal tech enthusiast, this book gives you everything you need to design and deploy powerful legal NLP systems using today's most advanced tools-GPT-4, LangChain, RAG pipelines, vector databases, and real-world legal datasets.

From parsing court opinions to generating citation-aware summaries and red-flagging risky contract clauses, you'll learn how to build production-grade legal AI tools that actually work.

What You'll Build:

  • A contract parser that extracts and labels legal clauses
  • A Q&A system over statutes and case law with real citations
  • A risk detector for indemnity, arbitration, and liability terms
  • A legal summarizer that cites its sources in Bluebook format
  • A full frontend web app using Streamlit for legal workflows
  • A complete RAG pipeline with vector search and GPT-4 logic
  • Built-in hallucination detection and eval harness for legal accuracy
  • A Dockerized deployment to Render or Vercel

Technologies Covered:

  • LangChain Retrieval & Memory Chains
  • OpenAI GPT-4 & Function Calling
  • Weaviate, FAISS, ChromaDB for vector storage
  • Legal NLP parsing and clause chunking
  • Prompt templates tailored for legal alignment
  • Streamlit UI with real-time summarization
  • Eval Harness for legal output benchmarking
  • GitHub Actions & CI/CD pipelines for production rollout

Who This Book Is For:

  • Python developers and AI engineers entering legal tech
  • Legal professionals exploring GPT-4 tools and automation
  • Legal ops, paralegals, and contract managers interested in LLMs
  • AI product builders and founders in legal innovation

Includes:

  • End-to-end project labs for real-world use cases
  • Appendices with legal datasets, Streamlit templates, prompt libraries
  • Troubleshooting guides and hallucination mitigation techniques
  • Career roadmap in Legal AI, freelancing, open-source, and research

If you're ready to transform how legal work gets done, automate tedious tasks, and build AI systems with real-world legal value, this book is your blueprint.

Build smarter legal tools with AI. From parsing to prompt engineering, this is the full-stack guide for Legal NLP in 2025 and beyond.

This item is Non-Returnable

Details

  • ISBN-13: 9798298529662
  • ISBN-10: 9798298529662
  • Publisher: Independently Published
  • Publish Date: August 2025
  • Dimensions: 11 x 8.5 x 0.55 inches
  • Shipping Weight: 1.35 pounds
  • Page Count: 262

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