This is a model that allows one to label contract clauses
Condenses long text into short summary using AI Bart model
Summarize events using prompts
innovation global recipes with health and personalized
Project 2
Generate detailed text summaries from documents
Summarize scientific papers using AI
Create meeting summaries from audio files
RAG AI on the multiple files
Analyze meetings, chat about them, generate summaries, and fact-check
An api of various things
Generate text summaries from documents
Text summarisation
Legal Doc Labeler is an AI-powered tool designed to streamline the process of labeling contract clauses and other legal documents. It allows users to quickly identify and categorize key sections of legal text, making document reviews more efficient and accurate. This tool is particularly useful for legal professionals, contract managers, and anyone who needs to analyze and summarize legal documents.
• Automated Clause Labeling: The tool can automatically identify and label common contract clauses, such as confidentiality terms, payment terms, and termination conditions.
• Smart Text Summarization: Legal Doc Labeler can summarize lengthy legal documents into concise, digestible overviews while retaining critical information.
• Integrated AI Capabilities: Leverages advanced AI algorithms to understand and interpret complex legal language with high accuracy.
• Multi-Document Support: Supports labeling and summarization of multiple documents simultaneously, saving time and effort.
• Customizable Labels: Users can define and customize labels to suit specific needs, making the tool adaptable to various legal contexts.
What file formats does Legal Doc Labeler support?
Legal Doc Labeler supports PDF, Word documents (.docx), and plain text files (.txt).
Can I customize the labels to fit my specific needs?
Yes, the tool allows users to create and customize labels, ensuring flexibility for different legal contexts.
Does Legal Doc Labeler work for non-legal documents?
While optimized for legal documents, Legal Doc Labeler can summarize and label text in other formats, though accuracy may vary depending on the content.