Best AI tools for< redline documents >

Macro is an AI-powered word and PDF editor that helps users review, negotiate, and redline documents faster. It offers a variety of features, including draft mode, redlines, PDF reader, eSignature, and AI Copilot. Macro is trusted by over 500 firms worldwide and offers a 14-day free trial with access to all features.

Lawgeex is a contract review automation platform that uses artificial intelligence (AI) to review and redline legal documents based on your predefined policies. Unlike other solutions that only flag unacceptable or missing clauses, Lawgeex understands the contractual context as well as your position. Our technology makes redlines to the contract and negotiates with the counterparty – just like an experienced attorney, but with enhanced speed and accuracy.

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 teams to review contracts faster and more consistently. Pincites provides industry-standard contract checks, allows users to create custom playbooks, and offers guidance based on preferences. The tool aims to streamline the contract review process and enhance efficiency for legal professionals.

Spellbook is an AI contract drafting and review tool that leverages advanced language models like GPT-4 to help lawyers draft and review contracts quickly and accurately. It suggests terms, generates precise redlines, and provides negotiation suggestions, making it a valuable tool for transactional lawyers. Spellbook is tuned for legal use, offering high-quality language improvements and the ability to draft new clauses based on the context of agreements. It also assists in detecting aggressive terms, listing missing clauses, and providing legal research support. The tool is trusted by over 2,600 law firms and in-house legal teams, offering a comprehensive solution for legal professionals.

aioconsole is a Python package that provides asynchronous console and interfaces for asyncio. It offers asynchronous equivalents to input, print, exec, and code.interact, an interactive loop running the asynchronous Python console, customization and running of command line interfaces using argparse, stream support to serve interfaces instead of using standard streams, and the apython script to access asyncio code at runtime without modifying the sources. The package requires Python version 3.8 or higher and can be installed from PyPI or GitHub. It allows users to run Python files or modules with a modified asyncio policy, replacing the default event loop with an interactive loop. aioconsole is useful for scenarios where users need to interact with asyncio code in a console environment.

The ai-cli-lib is a library designed to enhance interactive command-line editing programs by integrating with GPT large language model servers. It allows users to obtain AI help from servers like Anthropic's or OpenAI's, or a llama.cpp server. The library acts as a command line copilot, providing natural language prompts and responses to enhance user experience and productivity. It supports various platforms such as Debian GNU/Linux, macOS, and Cygwin, and requires specific packages for installation and operation. Users can configure the library to activate during shell startup and interact with command-line programs like bash, mysql, psql, gdb, sqlite3, and bc. Additionally, the library provides options for configuring API keys, setting up llama.cpp servers, and ensuring data privacy by managing context settings.

LLamaSharp is a cross-platform library to run 🦙LLaMA/LLaVA model (and others) on your local device. Based on llama.cpp, inference with LLamaSharp is efficient on both CPU and GPU. With the higher-level APIs and RAG support, it's convenient to deploy LLM (Large Language Model) in your application with LLamaSharp.

Simple-OpenAI is a Java library that provides a simple way to interact with the OpenAI API. It offers consistent interfaces for various OpenAI services like Audio, Chat Completion, Image Generation, and more. The library uses CleverClient for HTTP communication, Jackson for JSON parsing, and Lombok to reduce boilerplate code. It supports asynchronous requests and provides methods for synchronous calls as well. Users can easily create objects to communicate with the OpenAI API and perform tasks like text-to-speech, transcription, image generation, and chat completions.

OllamaSharp is a .NET binding for the Ollama API, providing an intuitive API client to interact with Ollama. It offers support for all Ollama API endpoints, real-time streaming, progress reporting, and an API console for remote management. Users can easily set up the client, list models, pull models with progress feedback, stream completions, and build interactive chats. The project includes a demo console for exploring and managing the Ollama host.