Best AI tools for< Manage Agreements >

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.

Email To Contract is an AI tool that transforms emails into contracts seamlessly. It simplifies the process of creating tailored contracts by analyzing email conversations and generating contracts based on predefined templates. The tool is designed to work with various types of contracts such as NDAs, influencer agreements, and freelancer contracts. Users can forward email threads to the designated email address and receive a customized contract in return. Email To Contract offers affordable pricing plans, unlimited credits, and modulable access to different contract types. The application is user-friendly, fast, and eliminates the hassle of manual contract creation.

DocuSign is an electronic signature and contract lifecycle management company. It offers a suite of applications designed to help businesses of all sizes create, commit to, and manage agreements. DocuSign's Intelligent Agreement Management (IAM) platform leverages AI and integrates with existing business platforms to transform how businesses manage agreements. DocuSign's products and services include eSignature, contract lifecycle management, document generation, web forms, electronic notarization, multi-channel delivery, APIs, and platform services.

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.

Legaliser is an AI-powered contract management tool that offers comprehensive contract analysis, intuitive drafting tools, and customizable legal templates. It leverages advanced AI technology and legal expertise to streamline legal workflows, enhance compliance, and revolutionize how businesses handle legal documents.

Legal Assist AI is an industry-leading startup that offers cutting-edge, AI-driven services to revolutionize the legal landscape. Founded by James Bratton, the platform provides automated contract analysis, intelligent case management systems, and predictive analytics tailored for the legal profession. With a vision to redefine efficiency and elevate the quality of legal services, Legal Assist AI aims to transform the future of legal work through innovative AI technology.

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.

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.

Icertis is a leading provider of contract lifecycle management (CLM) software. Its platform, Icertis Contract Intelligence, helps organizations manage their contracts more effectively, from creation and negotiation to execution and compliance. Icertis Contract Intelligence is powered by AI, which helps organizations automate tasks, gain insights into their contracts, and make better decisions.

Vexa is a real-time AI meeting assistant designed to empower users to maintain focus, grasp context, decode industry-specific terms, and capture critical information effortlessly during business meetings. It offers features such as instant context recovery, flawless project execution, industry terminology decoding, enhanced focus and productivity, and ADHD-friendly meeting assistance. Vexa helps users stay sharp in long meetings, record agreements accurately, clarify industry jargon, and manage time-sensitive information effectively. It integrates with Google Meet and Zoom, supports various functionalities using the GPT-4 Chat API, and ensures privacy through end-to-end encryption and data protection measures.

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.

LeaseLens is a free AI-based lease abstraction software that offers a cost-effective and efficient solution for extracting relevant data points from real estate and commercial lease documents. By utilizing machine learning technology, LeaseLens can provide accurate lease summaries in minutes, saving time and money compared to traditional manual abstraction services. Users can upload their leases, have the AI identify and extract key information, and export the abstract to Excel or Word for a small fee. The platform ensures data privacy by not sharing information with third parties and deleting leases after abstraction.

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.

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.

TurboTenant is a property management software designed for landlords to simplify the process of managing rental properties. The platform offers a range of features such as advertising, rental applications, tenant screening, lease agreements, rent collection, and accounting. TurboTenant aims to streamline the rental process for landlords, providing tools to create leases, collect rent, and manage maintenance requests. The platform also offers state-specific lease agreements, rent collection software, integrated accounting software, and tools for rental management. TurboTenant's free Lease Agreement Audit tool powered by AI analyzes leases for legal compliance within 15 seconds.

Talking Tree is an AI-powered document management tool designed for legal professionals to digitize and manage legal documents efficiently. It offers advanced OCR technology and a custom RAG architecture to convert printed and handwritten text into searchable structured data. The platform enables users to find information, draft agreements, and analyze legacy documents with unprecedented speed and accuracy. Talking Tree provides a secure and user-friendly interface with multilingual support, making it a valuable resource for legal research and document management.

Legaliser is an AI legal assistant that revolutionizes contract management by providing comprehensive AI analysis, intuitive drafting tools, and a diverse range of customizable templates. It quickly summarizes contracts, evaluates clauses for compliance, and offers targeted suggestions to enhance contract clarity and compliance. Legaliser streamlines document management with AI-driven summaries, clause ratings, and smart organization, making it an indispensable tool for legal professionals across diverse industries.

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.

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.

Sendforsign is an AI-driven Contract Management platform that offers a comprehensive suite of tools for automating the agreement process. With features like Legal AI co-pilot, Contract Builder, eSign API, and more, Sendforsign helps businesses streamline their contract workflows efficiently. The platform allows users to create, edit, and sign contracts easily, making it a valuable tool for legal teams, sales professionals, HR managers, developers, and agencies. Sendforsign is designed to simplify the contract management process and enhance productivity across various industries.

AXONE Smart Contracts repository hosts Smart Contracts for the AXONE network, compatible with any Cosmos blockchains using the CosmWasm framework. It includes storage, sovereignty, and resource management oriented Smart Contracts. Each contract has different functionalities and maturity stages, with detailed tech documentation and emojis indicating maturity levels. The repository provides tools for building, testing, deploying, and interacting with Smart Contracts, along with guidelines for contributing and community engagement.

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.

Apache Airavata is a software framework for executing and managing computational jobs on distributed computing resources. It supports local clusters, supercomputers, national grids, academic and commercial clouds. Airavata utilizes service-oriented computing, distributed messaging, and workflow composition. It includes a server package with an API, client SDKs, and a general-purpose UI implementation called Apache Airavata Django Portal.

The Azure-Analytics-and-AI-Engagement repository provides packaged Industry Scenario DREAM Demos with ARM templates (Containing a demo web application, Power BI reports, Synapse resources, AML Notebooks etc.) that can be deployed in a customer’s subscription using the CAPE tool within a matter of few hours. Partners can also deploy DREAM Demos in their own subscriptions using DPoC.

Azure HPC On-Demand Platform (az-hop) provides an end-to-end deployment mechanism for a base HPC infrastructure on Azure. It delivers a complete HPC cluster solution ready for users to run applications, which is easy to deploy and manage for HPC administrators. az-hop leverages various Azure building blocks and can be used as-is or easily customized and extended to meet any uncovered requirements. Industry-standard tools like Terraform, Ansible, and Packer are used to provision and configure this environment, which contains: - An HPC OnDemand Portal for all user access, remote shell access, remote visualization access, job submission, file access, and more - An Active Directory for user authentication and domain control - Open PBS or SLURM as a Job Scheduler - Dynamic resources provisioning and autoscaling is done by Azure CycleCloud pre-configured job queues and integrated health-checks to quickly avoid non-optimal nodes - A Jumpbox to provide admin access - A common shared file system for home directory and applications is delivered by Azure Netapp Files - Grafana dashboards to monitor your cluster - Remote Visualization with noVNC and GPU acceleration with VirtualGL

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.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

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.

Agentok Studio is a visual tool built for AutoGen, a cutting-edge agent framework from Microsoft and various contributors. It offers intuitive visual tools to simplify the construction and management of complex agent-based workflows. Users can create workflows visually as graphs, chat with agents, and share flow templates. The tool is designed to streamline the development process for creators and developers working on next-generation Multi-Agent Applications.

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.

LLMOps with Prompt flow is a template and guidance for building LLM-infused apps using Prompt flow. It provides centralized code hosting, lifecycle management, variant and hyperparameter experimentation, A/B deployment, many-to-many dataset/flow relationships, multiple deployment targets, comprehensive reporting, BYOF capabilities, configuration-based development, local prompt experimentation and evaluation, endpoint testing, and optional Human-in-loop validation. The tool is customizable to suit various application needs.

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.

This repository is a rich resource offering examples of synthetic image generation, manipulation, and reasoning using Azure Machine Learning, Computer Vision, OpenAI, and open-source frameworks like Stable Diffusion. It provides practical insights into image processing applications, including content generation, video analysis, avatar creation, and image manipulation with various tools and APIs.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

FarmVibes.AI is a repository focused on developing multi-modal geospatial machine learning models for agriculture and sustainability. It enables users to fuse various geospatial and spatiotemporal datasets, such as satellite imagery, drone imagery, and weather data, to generate robust insights for agriculture-related problems. The repository provides fusion workflows, data preparation tools, model training notebooks, and an inference engine to facilitate the creation of geospatial models tailored for agriculture and farming. Users can interact with the tools via a local cluster, REST API, or a Python client, and the repository includes documentation and notebook examples to guide users in utilizing FarmVibes.AI for tasks like harvest date detection, climate impact estimation, micro climate prediction, and crop identification.

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