Best AI tools for< Review Agreement >

The AI Terms and Conditions Reader is an AI tool designed to analyze and summarize terms and conditions from various websites. It aims to provide users with a clear understanding of the legal agreements they agree to online. The tool reviews and highlights key points, potential concerns, and notable features of the terms of service and privacy policies. Users can access detailed insights on data retention, data sharing practices, user rights, and potential implications for privacy and legal recourse.

Spellbook is an AI contract drafting and review tool designed to help legal professionals draft and review contracts efficiently. It uses AI technology to suggest terms, generate redlines, draft new clauses, detect aggressive terms, and provide negotiation suggestions. Spellbook is trusted by over 2,500 law firms and in-house legal teams, offering a comprehensive solution for legal document creation and review.

Cimphony is a legal champion AI tool designed for startups and small businesses. It offers services such as legal counsel, employment/HR support, drafting and reviewing business contracts, and upcoming features like fundraise management. The platform leverages AI to address corporate needs, equity financing, contracts, and blockchain-specific issues with transparency and fair pricing. Cimphony aims to bring corporate legal services into the 21st century by providing a transparent view into legal work, faster delivery of legal advice, and flat-rate pricing for better planning.

Airstrip AI is an AI-powered legal platform that offers bespoke legal document creation and management services for modern businesses. The platform utilizes reliable AI technology to seamlessly draft, customize, and review legal documents tailored to the user's unique requirements. Airstrip AI aims to simplify the legal process for businesses by providing cost-effective, compliant, and personalized legal solutions without the need for extensive legal knowledge. With features like automated research, end-to-end encryption, and expert lawyer review, Airstrip AI empowers small businesses to focus on growth while ensuring legal document compliance and security.

Maigon is a state-of-the-art AI application designed for contract review. It offers efficiency in closing deals fast by providing AI-driven contract review tools that screen agreements, answer legal questions, and offer guidance for finalizing contracts in record time. Maigon integrates the latest deep learning technology and supports various contract types based on customer demand. The platform also announces the integration of OpenAI's GPT-4 for enhanced compliance review experience.

Pincites is an AI contract review tool designed for busy legal teams. It offers AI-generated redlines and comments within Microsoft Word, helping in-house legal teams to review contracts faster and more consistently. Pincites allows users to scan agreements for potential issues, apply AI-generated redlines, and interactively chat with documents. The tool also provides playbook management, enabling users to control redlines suggested by the AI based on their preferences and existing guidance.

SpeedLegal is a technological startup that uses Machine Learning technology (specifically Deep Learning, LLMs and genAI) to highlight the terms and the key risks of any contract. We analyze your documents and send you a simplified report so you can make a more informed decision before signing your name on the dotted line.

LinkSquares is an all-in-one legal technology platform powered by AI that helps in-house legal teams streamline their contracting process, organize and search contracts, collaborate better, and centralize all their legal work. With LinkSquares, legal teams can create, review, manage, and sign contracts, centralize their work and keep projects moving, and get scalability, efficiency, and connectivity.

Legitt AI is an AI-powered Contract Lifecycle Management platform that offers a comprehensive solution for managing contracts at scale. It combines automation and intelligence to revolutionize contract management, ensuring efficiency, accuracy, and compliance with legal standards. The platform streamlines contract creation, signing, tracking, and management processes by embedding intelligence in every step. Legitt AI enhances contract review processes, contract tracking, and contract intelligence at scale, providing users with insights, recommendations, and automated workflows. With robust security measures, scalable infrastructure, and integrations with popular business tools, Legitt AI empowers businesses to manage contracts with precision and efficiency.

Legal Robot is a legal technology company that provides automated legal analysis and compliance tools. Its products include Contract Analytics, Legal Simplifier, and Compliance Tools. Contract Analytics automatically extracts key terms and finds problems with legal style, definitions, and risky language. Legal Simplifier translates legalese into plain language to improve comprehension and accessibility. Compliance Tools helps businesses manage GDPR and DMCA requests, monitor website legal terms, and more. Legal Robot's mission is to make legal analysis and compliance easier and more accessible for everyone.

Legalese Decoder is a web application that utilizes AI, natural language processing (NLP), and machine learning (ML) to analyze legal documents and provide a plain language version of the document. It is designed to take complex legal documents as input and output a simplified, easily understandable version by identifying key terms and concepts, providing definitions, and rephrasing the content. The application aims to assist individuals in comprehending legal documents without the need for professional legal advice.

Juri Flow is an AI-powered legal tool designed to assist individuals and businesses with legal matters. It provides personalized legal advice, document drafting, and contract review services. Juri Flow utilizes advanced natural language processing and machine learning algorithms to analyze legal documents and provide accurate recommendations. The platform aims to simplify the legal process and make legal services more accessible to a wider audience.

Docubee is an intelligent contract automation software that streamlines the contract creation, management, signing, and tracking process. It allows users to gather information for contracts, generate contracts swiftly through templates or AI, share contracts for review and approval, collaborate with internal and external participants in real-time, and capture secure and legally binding signatures on any device. Docubee also offers integration capabilities to connect with daily systems and APIs. The platform aims to accelerate contract processes, enhance transparency and efficiency, and scale with businesses' growth.

CreateDraft is a legal document automation tool that uses artificial intelligence to help users draft, review, and analyze legal documents. The tool offers a variety of features, including the ability to summarize documents, get key insights, draft agreements from documents, analyze and review contracts, and chat with documents. CreateDraft also offers over 340 templates to automate legal drafting, making it easy for users to create high-quality documents quickly and easily.

AskLegal.bot is a free AI-powered legal assistant that provides instant answers to your legal questions. With our proprietary AI technology, we synthesize information from thousands of sources to offer tailored guidance that aligns with current laws and regulations. Our self-service document review tool helps you understand various legal documents, including rental agreements, employment contracts, service agreements, insurance policies, and more. AskLegal.bot is confidential and secure, ensuring the privacy of your discussions with top-tier data security and privacy measures.

MARA AI Review Management is an AI tool designed to help businesses manage and respond to online reviews efficiently. It offers features such as Review Inbox, Review Analytics, AI Review Reply Generator, Smart Snippets, and Brand Voice to streamline the review management process. With MARA, businesses can save time, improve response rates, and learn from customer feedback to enhance their online reputation.

Airbnb Review Summarizer is an AI tool designed to summarize Airbnb listing reviews in a simple, personal, and useful manner. The tool aims to provide users with a quick overview of the reviews to help them make informed decisions about booking accommodations. By utilizing AI technology, the tool can analyze and condense lengthy reviews into concise summaries, saving users time and effort. With a user-friendly interface and seamless integration as a Chrome Extension, Airbnb Review Summarizer offers a convenient solution for Airbnb users seeking to streamline their review reading process.

Review Bomb Me is an AI-powered software that helps businesses convert negative reviews into constructive and positive ones. It uses AI to summarize reviews and add them to a dashboard, where businesses can monitor how their Review Bomb is going. Review Bomb Me also provides businesses with a personal user analytics dashboard, so they can see who is engaging with their content and where they are coming from.

The Art Review Generator is a natural language processing tool and text generator that analyzes and generates language used to describe art and culture. It utilizes a vast amount of training data from 57 years of art reviews to create medium-length sentences. While not classified as artificial intelligence, it employs deep matrices of probability to generate text based on the input prompt. The tool focuses on modern art reviews, capturing the distinctive language of human expression, including intent, emotion, technique, and impact. Despite potential biases and glitches, it offers insights into the evolution of language in art critiques over the years.

The Princeton Review is an AI-based test preparation and tutoring platform offering personalized academic support, test prep courses, and college admissions counseling. With over 43 years of industry experience and a track record of helping millions of students, The Princeton Review uses sophisticated AI technology to provide students with tailored learning experiences, expert-led videos, interactive reports, and feedback tools for essays and homework. The platform covers a wide range of subjects and exams, from K-12 academics to graduate and professional tests like SAT, ACT, MCAT, LSAT, GRE, GMAT, and more. Additionally, it offers services for college admissions counseling, school partnerships, and international licensing.

The Apache Airflow Python Client provides a range of REST API endpoints for managing Airflow metadata objects. It supports CRUD operations for resources, with endpoints accepting and returning JSON. Users can create, read, update, and delete resources. The API design follows conventions with consistent naming and field formats. Update mask is available for patch endpoints to specify fields for update. API versioning is not synchronized with Airflow releases, and changes go through a deprecation phase. The tool supports various authentication methods and error responses follow RFC 7807 format.

Contoso Chat is a Python sample demonstrating how to build, evaluate, and deploy a retail copilot application with Azure AI Studio using Promptflow with Prompty assets. The sample implements a Retrieval Augmented Generation approach to answer customer queries based on the company's product catalog and customer purchase history. It utilizes Azure AI Search, Azure Cosmos DB, Azure OpenAI, text-embeddings-ada-002, and GPT models for vectorizing user queries, AI-assisted evaluation, and generating chat responses. By exploring this sample, users can learn to build a retail copilot application, define prompts using Prompty, design, run & evaluate a copilot using Promptflow, provision and deploy the solution to Azure using the Azure Developer CLI, and understand Responsible AI practices for evaluation and content safety.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

The Azure Open AI Application Landing Zone Solution Accelerator aims to assist in setting up development and production environments for Generative AI solutions using Azure Open AI and Azure Services. It provides deployment templates for common Gen AI solution patterns and offers customization options. The solution accelerator also offers best practices for technology usage in various scenarios.

Microsoft Copilot for Security is a generative AI-powered assistant for daily operations in security and IT that empowers teams to protect at the speed and scale of AI.

The Terraform provider for Aiven.io, an open source data platform as a service. See the official documentation to learn about all the possible services and resources.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

Awesome-LLM-Interpretability is a curated list of materials related to LLM (Large Language Models) interpretability, covering tutorials, code libraries, surveys, videos, papers, and blogs. It includes resources on transformer mechanistic interpretability, visualization, interventions, probing, fine-tuning, feature representation, learning dynamics, knowledge editing, hallucination detection, and redundancy analysis. The repository aims to provide a comprehensive overview of tools, techniques, and methods for understanding and interpreting the inner workings of large language models.

MInference is a tool designed to accelerate pre-filling for long-context Language Models (LLMs) by leveraging dynamic sparse attention. It achieves up to a 10x speedup for pre-filling on an A100 while maintaining accuracy. The tool supports various decoding LLMs, including LLaMA-style models and Phi models, and provides custom kernels for attention computation. MInference is useful for researchers and developers working with large-scale language models who aim to improve efficiency without compromising accuracy.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

h2oGPT is an Apache V2 open-source project that allows users to query and summarize documents or chat with local private GPT LLMs. It features a private offline database of any documents (PDFs, Excel, Word, Images, Video Frames, Youtube, Audio, Code, Text, MarkDown, etc.), a persistent database (Chroma, Weaviate, or in-memory FAISS) using accurate embeddings (instructor-large, all-MiniLM-L6-v2, etc.), and efficient use of context using instruct-tuned LLMs (no need for LangChain's few-shot approach). h2oGPT also offers parallel summarization and extraction, reaching an output of 80 tokens per second with the 13B LLaMa2 model, HYDE (Hypothetical Document Embeddings) for enhanced retrieval based upon LLM responses, a variety of models supported (LLaMa2, Mistral, Falcon, Vicuna, WizardLM. With AutoGPTQ, 4-bit/8-bit, LORA, etc.), GPU support from HF and LLaMa.cpp GGML models, and CPU support using HF, LLaMa.cpp, and GPT4ALL models. Additionally, h2oGPT provides Attention Sinks for arbitrarily long generation (LLaMa-2, Mistral, MPT, Pythia, Falcon, etc.), a UI or CLI with streaming of all models, the ability to upload and view documents through the UI (control multiple collaborative or personal collections), Vision Models LLaVa, Claude-3, Gemini-Pro-Vision, GPT-4-Vision, Image Generation Stable Diffusion (sdxl-turbo, sdxl) and PlaygroundAI (playv2), Voice STT using Whisper with streaming audio conversion, Voice TTS using MIT-Licensed Microsoft Speech T5 with multiple voices and Streaming audio conversion, Voice TTS using MPL2-Licensed TTS including Voice Cloning and Streaming audio conversion, AI Assistant Voice Control Mode for hands-free control of h2oGPT chat, Bake-off UI mode against many models at the same time, Easy Download of model artifacts and control over models like LLaMa.cpp through the UI, Authentication in the UI by user/password via Native or Google OAuth, State Preservation in the UI by user/password, Linux, Docker, macOS, and Windows support, Easy Windows Installer for Windows 10 64-bit (CPU/CUDA), Easy macOS Installer for macOS (CPU/M1/M2), Inference Servers support (oLLaMa, HF TGI server, vLLM, Gradio, ExLLaMa, Replicate, OpenAI, Azure OpenAI, Anthropic), OpenAI-compliant, Server Proxy API (h2oGPT acts as drop-in-replacement to OpenAI server), Python client API (to talk to Gradio server), JSON Mode with any model via code block extraction. Also supports MistralAI JSON mode, Claude-3 via function calling with strict Schema, OpenAI via JSON mode, and vLLM via guided_json with strict Schema, Web-Search integration with Chat and Document Q/A, Agents for Search, Document Q/A, Python Code, CSV frames (Experimental, best with OpenAI currently), Evaluate performance using reward models, and Quality maintained with over 1000 unit and integration tests taking over 4 GPU-hours.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

Greenplum Database (GPDB) is an advanced, fully featured, open source data warehouse, based on PostgreSQL. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

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