Legal Graph

Pricing model
Paid
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LegalGraph is a contract analysis solution centered on privacy, aiming to streamline the management of legal documents for businesses. It swiftly extracts essential legal terms from multiple contracts in minutes, displaying the results in an organized table for straightforward analysis. Users can store contract files in a centralized repository equipped with advanced search filters. LegalGraph supports the customization of AI models and offers transparent insights into AI decision-making, enhancing accuracy and user trust. With options for on-premises deployment and strong encryption protocols, LegalGraph emphasizes data security and user control. It provides flexible pricing options, including a free tier, making precise contract analysis both accessible and efficient.

Similar neural networks:

Free
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Summarization using AI, NLP, NLTK library, python-sumy library, OpenAI's Davinci engine, OpenAI's Curie engine, Arxiv database, Research paper overviews, Machine learning, Computer vision, Easy-to-use interface, Precise summaries
Free
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This site provides an AI-driven platform enabling users to search for topics and protocols within episodes of The Huberman Lab and find answers to questions about science and health. Additionally, it offers timestamped YouTube links for the pertinent episodes. Users can also propose who should be featured in a future episode.
Freemium
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Merlin is an AI assistant accessible through a browser that provides real-time assistance for activities such as summarizing web content, repurposing material, and generating insights without leaving your current tab. It enables users to ask questions and receive answers using context from uploaded documents like PDFs or class notes. With features such as video summary and interactive chat, Merlin aids users in learning more effectively. Its "Projects" feature allows for the creation of reusable knowledge bases, while "Crafts" enables users to make diagrams and charts from text inputs. Additionally, Merlin facilitates rapid prototyping with React and Shadcn snippets, making it valuable in research, education, and development endeavors.