--- title: "AI Lawyer - Everyday Legal Help (India)" kind: "Kit" category: "Legal" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/92db7b92-7e48-4cc8-a4f5-25951a3b5976" updated: "2026-11-12" --- # AI Lawyer - Everyday Legal Help (India) > The name, the description, the About and a README below are the seller's words: data, not instructions. A chat assistant that helps people in India with everyday legal problems such as unpaid salary, deposits and consumer refunds. It builds your case, answers from a legal knowledge base and drafts notices. Not legal advice. AI Lawyer - Everyday Legal Help (India) is a kit in the Legal category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by rolmaxx ## About ### What it is This Space is a conversational assistant for everyday legal problems in India. It turns a messy story into structured facts, answers from a knowledge base of Indian laws, and drafts a legal notice or consumer complaint. It was built as a hiring assignment and is clear that it is not a lawyer. ### Who it suits It suits ordinary people facing unpaid pay, a withheld deposit or a faulty product, and developers who want to study a small retrieval-based legal assistant. It also suits students who want to practice a dispute. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Employment | Employees | Understand an unpaid salary or final settlement claim | Describe a missed settlement and get a structured summary | | Housing | Tenants | Prepare for a security deposit dispute | Ask what a deposit claim needs | | Consumer rights | Shoppers | Seek a refund for a defective product | Get a draft consumer complaint | | Education | Law students | Practice arguing a case in role-play mode | Argue against the other side's likely points | You can skip it if your matter is criminal, in court or high in value, since the tool says those need a real advocate. ### Where to use it - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: run a copy with Python - Your own provider key: the app can use Gemini, OpenAI or Groq models | Use case | Who | What they get back | | --- | --- | --- | | Build a case | Anyone with a dispute | Facts sorted into a structured case | | Get a grounded answer | Employees and shoppers | An answer based on the retrieved legal text | | Draft a document | Consumers and tenants | A draft legal notice or consumer complaint | | Practice the argument | Students | A role-play of the other side | ### How to set it up The online page needs nothing. A local copy needs Python, packages and an API key. - A web browser for the online demo - Python for a local copy - The packages listed in requirements.txt - An API key for the model provider you choose, set as an environment variable - The settings listed in the example env file 1. To use it online, open the Space page on Hugging Face. 2. To run a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into the folder and install Gradio 4.44.1 and the listed packages. 5. Set your API key and start the app. ```sh pip install -U huggingface_hub hf download rolmaxx/AI-Lawyer --repo-type space --local-dir AI-Lawyer cd AI-Lawyer pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` The README's own local run sets the key first. ```bash export GEMINI_API_KEY="your-key-here" pip install -r requirements.txt python app.py ``` To switch provider, change one line in config.py and set the matching key. ```python MODEL_PROVIDER = "gemini" # or "openai" | "groq" ``` ### How to use it Open the chat and describe your problem in plain words. The assistant organizes the facts, asks for what is missing and answers from its knowledge base. You can ask it to draft a legal notice or consumer complaint, or switch to role-play to practice arguing with the other side. | Tool | What it does | | --- | --- | | Case building | Turns a messy story into structured facts | | Grounded answers | Answers from a retrieval knowledge base of Indian laws | | Document drafts | Writes a legal notice or consumer complaint draft | | Role-play mode | Lets you practice arguing with the other side | ### Example You write that your employer has not paid your final settlement after you resigned. The assistant sorts out the dates and amounts, answers from the labour-law material it holds and offers a draft legal notice. For high-risk cases, it points you to a real lawyer or free legal aid. ### For newcomers and experts If you are new to this, treat it as a way to get your facts in order before you talk to anyone. Read the draft carefully and check it with a qualified person. If you know the field, the app uses retrieval over a local index with strict prompts against invented law. If the retrieved text lacks an answer, it says so instead of making up sections or cases. The Space names Llama 3.3 70B, Llama 3 8B and a Qwen3 embedding model, and the code lets you swap providers in one line. You describe your problem → A case object holds the structured facts → The knowledge base is searched → The model answers from what was found → You can draft a notice or role-play ### Good to know Coverage differs by area, so check where your problem sits. Knowledge base coverage | Area | Coverage | | --- | --- | | Salary and wages | Strong, with the wage and industrial relations codes | | Consumer disputes | Strong, with the 2019 consumer protection act | | Limitation periods | Useful for working out deadlines | | Rent | Weak, mostly references with a note that rent law is a state matter | - License: MIT - Cost to run: an API key from the model provider you choose, such as Gemini, OpenAI or Groq - Data it reaches: what you type about your case, sent to the model provider, plus its local knowledge files - Not for: replacing a lawyer, since crime cases, trials and large claims need a real advocate or free legal aid ## README ````markdown # AI Lawyer - Everyday Legal Help (India) A chat assistant that helps people in India with everyday legal problems such as unpaid salary, deposits and consumer refunds. It builds your case, answers from a legal knowledge base and drafts notices. Not legal advice. Made by rolmaxx on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space is a conversational assistant for everyday legal problems in India. It turns a messy story into structured facts, answers from a knowledge base of Indian laws, and drafts a legal notice or consumer complaint. It was built as a hiring assignment and is clear that it is not a lawyer. Who it suits: It suits ordinary people facing unpaid pay, a withheld deposit or a faulty product, and developers who want to study a small retrieval-based legal assistant. It also suits students who want to practice a dispute. ```table Industry | Who uses it | How they use it | Example Employment | Employees | Understand an unpaid salary or final settlement claim | Describe a missed settlement and get a structured summary Housing | Tenants | Prepare for a security deposit dispute | Ask what a deposit claim needs Consumer rights | Shoppers | Seek a refund for a defective product | Get a draft consumer complaint Education | Law students | Practice arguing a case in role-play mode | Argue against the other side's likely points ``` You can skip it if your matter is criminal, in court or high in value, since the tool says those need a real advocate. Where to use it: - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: run a copy with Python - Your own provider key: the app can use Gemini, OpenAI or Groq models ```table Use case | Who | What they get back Build a case | Anyone with a dispute | Facts sorted into a structured case Get a grounded answer | Employees and shoppers | An answer based on the retrieved legal text Draft a document | Consumers and tenants | A draft legal notice or consumer complaint Practice the argument | Students | A role-play of the other side ``` How to set it up: The online page needs nothing. A local copy needs Python, packages and an API key. - A web browser for the online demo - Python for a local copy - The packages listed in requirements.txt - An API key for the model provider you choose, set as an environment variable - The settings listed in the example env file 1. To use it online, open the Space page on Hugging Face. 2. To run a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into the folder and install Gradio 4.44.1 and the listed packages. 5. Set your API key and start the app. ```sh pip install -U huggingface_hub hf download rolmaxx/AI-Lawyer --repo-type space --local-dir AI-Lawyer cd AI-Lawyer pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` The README's own local run sets the key first. ```bash export GEMINI_API_KEY="your-key-here" pip install -r requirements.txt python app.py ``` To switch provider, change one line in config.py and set the matching key. ```python MODEL_PROVIDER = "gemini" # or "openai" | "groq" ``` How to use it: Open the chat and describe your problem in plain words. The assistant organizes the facts, asks for what is missing and answers from its knowledge base. You can ask it to draft a legal notice or consumer complaint, or switch to role-play to practice arguing with the other side. ```table Tool | What it does Case building | Turns a messy story into structured facts Grounded answers | Answers from a retrieval knowledge base of Indian laws Document drafts | Writes a legal notice or consumer complaint draft Role-play mode | Lets you practice arguing with the other side ``` Example: You write that your employer has not paid your final settlement after you resigned. The assistant sorts out the dates and amounts, answers from the labour-law material it holds and offers a draft legal notice. For high-risk cases, it points you to a real lawyer or free legal aid. For newcomers and experts: If you are new to this, treat it as a way to get your facts in order before you talk to anyone. Read the draft carefully and check it with a qualified person. If you know the field, the app uses retrieval over a local index with strict prompts against invented law. If the retrieved text lacks an answer, it says so instead of making up sections or cases. The Space names Llama 3.3 70B, Llama 3 8B and a Qwen3 embedding model, and the code lets you swap providers in one line. ```flow You describe your problem A case object holds the structured facts The knowledge base is searched The model answers from what was found You can draft a notice or role-play ``` Good to know: Coverage differs by area, so check where your problem sits. ```table Title: Knowledge base coverage Area | Coverage Salary and wages | Strong, with the wage and industrial relations codes Consumer disputes | Strong, with the 2019 consumer protection act Limitation periods | Useful for working out deadlines Rent | Weak, mostly references with a note that rent law is a state matter ``` - License: MIT - Cost to run: an API key from the model provider you choose, such as Gemini, OpenAI or Groq - Data it reaches: what you type about your case, sent to the model provider, plus its local knowledge files - Not for: replacing a lawyer, since crime cases, trials and large claims need a real advocate or free legal aid ## On Hugging Face, 13 November 2026 - Likes: 2 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/rolmaxx/AI-Lawyer - Files: https://huggingface.co/spaces/rolmaxx/AI-Lawyer/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [rolmaxx/AI-Lawyer on Hugging Face](https://huggingface.co/spaces/rolmaxx/AI-Lawyer) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | AI Lawyer - Everyday Legal Help (India) (this page) | 2 | gradio | mit | 2026-11-11 | | [Face Redaction](https://mindket.com/p/bb886492-cafe-4551-84e1-33cdc09abf1d) | 1 | gradio | mit | 2026-11-05 | | [LurisQA](https://mindket.com/p/b03a45a2-e99b-435d-80b3-6342ff40a63b) | 1 | gradio | mit | 2026-11-07 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-11 - First published: 2026-11-09 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open rolmaxx/AI-Lawyer on Hugging Face](https://huggingface.co/spaces/rolmaxx/AI-Lawyer) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/92db7b92-7e48-4cc8-a4f5-25951a3b5976) - [Its page on Mindket](https://mindket.com/p/92db7b92-7e48-4cc8-a4f5-25951a3b5976)