Best AI tools for< Commercial Lawyer >

Spellbook is a comprehensive AI tool designed for commercial lawyers to review, draft, and manage legal contracts efficiently. It offers features such as redline contract review, drafting from scratch or saved libraries, quick answers to complex questions, comparing contracts to industry standards, and multi-document workflows. Spellbook is powered by OpenAI's GPT-4o and other large language models, providing accurate and reliable performance. It ensures data privacy with Zero Data Retention agreements, making it a secure and private solution for law firms and in-house legal teams worldwide.

Legal Data is a comprehensive legal research platform developed by lawyers for lawyers. It offers a powerful search feature that covers various legal areas from commercial to criminal law. The platform recognizes synonyms, legalese, and abbreviations, corrects typos, and provides suggestions as you type. Additionally, Legal Data includes an AI-assistant called FlyBot, trained on carefully selected laws and cases, to provide accurate legal answers without fabricating information.

Crustdata is a B2B data platform that provides real-time company and people data through API. It offers the freshest and most trusted data to power various products and sales processes. The platform caters to commercial platforms, internal platforms, sales and GTM, AI platforms, sales automation, investing platforms, recruiting platforms, and private equity/M&A. Crustdata is proudly backed by Y Combinator and some of Silicon Valley's best investors.

The AI Summit London is a premier event that celebrates commercial AI applications, bringing together technologists and business professionals to explore real-world AI implementations. The event offers unparalleled learning opportunities, deep-dive discovery, and extensive networking with heavyweight speakers. Attendees can expect to engage with cutting-edge AI demos, immersive fringe features, and VIP experiences, all aimed at accelerating their AI journey and transforming theoretical discussions into practical and profitable applications.

Convr is an AI-driven underwriting analysis platform that helps commercial P&C insurance organizations transform their underwriting operations. It provides a modularized AI underwriting and intelligent document automation workbench that enriches and expedites the commercial insurance new business and renewal submission flow with underwriting insights, business classification, and risk scoring. Convr's mission is to solve the last big problem of commercial insurance while improving profitability and increasing efficiency.

Convr is a modularized AI underwriting and intelligent document automation workbench that enriches and expedites the commercial insurance new business and renewal submission flow with underwriting insights, business classification and risk scoring. As a trusted technology partner and advisor with deep industry expertise, we help insurance organizations transform their underwriting operations through our AI-driven digital underwriting analysis platform.

The AI Summit Series is a leading global event that brings together tech enthusiasts, investors, and industry leaders to network, learn, and showcase groundbreaking AI technology solutions for businesses. The summit focuses on practical applications of AI technologies, steering clear of hype and buzzwords. Supported by top tech companies like AWS, IBM Watson, Microsoft, Google, and more, the event hosts thousands of start-ups, speakers, and delegates annually in various locations worldwide. With a mission to deliver real value for businesses, the AI Summit Series is where commercial AI comes to life.

Voicemaker is a text-to-speech converter that allows users to create audio files for commercial use. It offers a variety of features, including the ability to select from a range of AI-powered voices, adjust the speed, pitch, and volume of the audio, and add background music. Voicemaker's audio files can be shared on any platform worldwide and are trusted by over 1000 well-known brands.

NaturalReader is a text-to-speech software that converts text, PDF, and other formats into spoken audio. It is designed for personal, commercial, and educational use. NaturalReader has a variety of features, including cross-platform compatibility, an AI voice generator, and support for students with dyslexia or other learning disabilities.

FreeTTS is a free online text-to-speech tool that allows users to convert text into natural-sounding speech in various languages and voices. It supports a range of features such as text-to-speech conversion, speech-to-text conversion, vocal removal, voice enhancement, audio cutting, and audio joining. FreeTTS is suitable for various applications, including content creation, education, accessibility, and entertainment.

Tamarack is a technology company specializing in equipment finance, offering AI-powered applications and data-centric technologies to enhance operational efficiency and business performance. They provide a range of solutions, from business intelligence to professional services, tailored for the equipment finance industry. Tamarack's AI Predictors and DataConsole are designed to streamline workflows and improve outcomes for stakeholders. With a focus on innovation and customer experience, Tamarack aims to empower clients with online functionality and predictive analytics. Their expertise spans from origination to portfolio management, delivering industry-specific solutions for better performance.

SOUNDRAW is an AI music generator that allows users to create music by simply choosing the mood, genre, and length. The AI will then generate a beautiful song that can be customized to the user's needs. SOUNDRAW is perfect for creators and artists who need background music for their content, or for music industry professionals who need to add vocals to beats and make songs.

Mobility Engineering is a website that provides news, articles, and resources on the latest developments in mobility technology. The site covers a wide range of topics, including autonomous vehicles, connected cars, electric vehicles, and more. Mobility Engineering is a valuable resource for anyone interested in staying up-to-date on the latest trends in mobility technology.

Ecrett Music is an AI-powered music composition tool that allows content creators to easily create royalty-free music for their projects. With Ecrett Music, users can select from a variety of scenes, moods, and genres to generate unique music tracks. The music can be customized to fit the specific needs of the project, and users can even upload their own videos to see how the music matches. Ecrett Music is a great option for content creators who need high-quality, royalty-free music for their projects.

PropHunt.ai is an AI-powered platform designed for real estate professionals and property investors. It utilizes advanced machine learning algorithms to analyze property data and provide valuable insights for property hunting and investment decisions. The platform offers features such as property price prediction, neighborhood analysis, investment risk assessment, property comparison, and market trend forecasting. With PropHunt.ai, users can make informed decisions, optimize their property investments, and stay ahead in the competitive real estate market.

AI Anime Generator is an innovative tool that allows users to create unique anime characters effortlessly. With just a few clicks, users can generate high-quality anime images using cutting-edge GAN technology. The tool is designed to be user-friendly, providing prompt responses and high-definition outputs. Users can access the basic plan for free, with the option to upgrade for more features. The generated images are owned by the user and can be used for commercial purposes, making it a versatile tool for anime enthusiasts, game developers, and entrepreneurs.

The AI Music Generator is an innovative AI application that empowers users to effortlessly create high-quality music tracks tailored to their preferences. By leveraging advanced AI technology, users can generate diverse musical works in various styles and genres, transforming text, images, lyrics, and samples into complete music compositions. The tool offers a user-friendly interface and advanced features like 'Custom Mode' for precise control over music creation. It caters to a wide range of users, from amateur music enthusiasts to professional creators, across industries such as media content creation, gaming, advertising, and music education.

Coloring-Pages.AI is an online platform that utilizes advanced AI technology to create personalized coloring pages for both children and adults. Users can input prompts and choose from various image sizes to generate unique and custom coloring designs quickly and easily. The platform offers both free and premium pricing plans, with the AI algorithm considering factors like image composition, style, and size to produce high-quality designs. Coloring-Pages.AI is user-friendly, intuitive, and suitable for individuals of all ages, providing endless creativity and fun through AI-generated coloring pages.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Lama AI is an AI-powered platform designed to revolutionize business lending processes for banks and financial institutions. It offers advanced features, rapid configurability, and exceptional support to streamline loan origination, underwriting, and decision-making. By leveraging the power of AI, Lama AI enables banks to boost business growth potential, improve profitability, and enhance customer experience through contextual onboarding, decisioning workspace, expanded credit access, and pre-qualified applications. The platform also provides white-labeled solutions, API-first integration, high configurability, built-in AI models, and access to a network of bank lenders, all while ensuring bank-grade security and compliance standards.

ModelFusion is an abstraction layer for integrating AI models into JavaScript and TypeScript applications, unifying the API for common operations such as text streaming, object generation, and tool usage. It provides features to support production environments, including observability hooks, logging, and automatic retries. You can use ModelFusion to build AI applications, chatbots, and agents. ModelFusion is a non-commercial open source project that is community-driven. You can use it with any supported provider. ModelFusion supports a wide range of models including text generation, image generation, vision, text-to-speech, speech-to-text, and embedding models. ModelFusion infers TypeScript types wherever possible and validates model responses. ModelFusion provides an observer framework and logging support. ModelFusion ensures seamless operation through automatic retries, throttling, and error handling mechanisms. ModelFusion is fully tree-shakeable, can be used in serverless environments, and only uses a minimal set of dependencies.

Slideflow is a deep learning library for digital pathology, offering a user-friendly interface for model development. It is designed for medical researchers and AI enthusiasts, providing an accessible platform for developing state-of-the-art pathology models. Slideflow offers customizable training pipelines, robust slide processing and stain normalization toolkit, support for weakly-supervised or strongly-supervised labels, built-in foundation models, multiple-instance learning, self-supervised learning, generative adversarial networks, explainability tools, layer activation analysis tools, uncertainty quantification, interactive user interface for model deployment, and more. It supports both PyTorch and Tensorflow, with optional support for Libvips for slide reading. Slideflow can be installed via pip, Docker container, or from source, and includes non-commercial add-ons for additional tools and pretrained models. It allows users to create projects, extract tiles from slides, train models, and provides evaluation tools like heatmaps and mosaic maps.

Trapster Community is a low-interaction honeypot designed for internal networks or credential capture. It monitors and detects suspicious activities, providing deceptive security layer. Features include mimicking network services, asynchronous framework, easy configuration, expandable services, and HTTP honeypot engine with AI capabilities. Supported protocols include DNS, HTTP/HTTPS, FTP, LDAP, MSSQL, POSTGRES, RDP, SNMP, SSH, TELNET, VNC, and RSYNC. The tool generates various types of logs and offers HTTP engine with AI capabilities to emulate websites using YAML configuration. Contributions are welcome under AGPLv3+ license.

Kalavai is an open-source platform that transforms everyday devices into an AI supercomputer by aggregating resources from multiple machines. It facilitates matchmaking of resources for large AI projects, making AI hardware accessible and affordable. Users can create local and public pools, connect with the community's resources, and share computing power. The platform aims to be a management layer for research groups and organizations, enabling users to unlock the power of existing hardware without needing a devops team. Kalavai CLI tool helps manage both versions of the platform.

LoRAX is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency. It features dynamic adapter loading, heterogeneous continuous batching, adapter exchange scheduling, optimized inference, and is ready for production with prebuilt Docker images, Helm charts for Kubernetes, Prometheus metrics, and distributed tracing with Open Telemetry. LoRAX supports a number of Large Language Models as the base model including Llama, Mistral, and Qwen, and any of the linear layers in the model can be adapted via LoRA and loaded in LoRAX.

This repository contains the source code for a GEMM & deep learning hardware accelerator system used to validate proposed systolic array hardware architectures implementing efficient matrix multiplication algorithms to increase performance-per-area limits of GEMM & AI accelerators. Achieved results include up to 3× faster CNN inference, >2× higher mults/multiplier/clock cycle, and low area with high clock frequency. The system is specialized for inference of non-sparse DNN models with fixed-point/quantized inputs, fully accelerating all DNN layers in hardware, and highly optimizing GEMM acceleration.

Kong, or Kong API Gateway, is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugins. It also provides advanced AI capabilities with multi-LLM support. By providing functionality for proxying, routing, load balancing, health checking, authentication (and more), Kong serves as the central layer for orchestrating microservices or conventional API traffic with ease. Kong runs natively on Kubernetes thanks to its official Kubernetes Ingress Controller.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

LLM for Unity enables seamless integration of Large Language Models (LLMs) within the Unity engine, allowing users to create intelligent characters for immersive player interactions. The tool supports major LLM models, runs locally without internet access, offers fast inference on CPU and GPU, and is easy to set up with a single line of code. It is free for both personal and commercial use, tested on Unity 2021 LTS, 2022 LTS, and 2023. Users can build multiple AI characters efficiently, use remote servers for processing, and customize model settings for text generation.

The Ultralytics YOLO iOS App GitHub repository offers an advanced object detection tool leveraging YOLOv8 models for iOS devices. Users can transform their devices into intelligent detection tools to explore the world in a new and exciting way. The app provides real-time detection capabilities with multiple AI models to choose from, ranging from 'nano' to 'x-large'. Contributors are welcome to participate in this open-source project, and licensing options include AGPL-3.0 for open-source use and an Enterprise License for commercial integration. Users can easily set up the app by following the provided steps, including cloning the repository, adding YOLOv8 models, and running the app on their iOS devices.

AI4Animation is a comprehensive framework for data-driven character animation, including data processing, neural network training, and runtime control, developed in Unity3D/PyTorch. It explores deep learning opportunities for character animation, covering biped and quadruped locomotion, character-scene interactions, sports and fighting games, and embodied avatar motions in AR/VR. The research focuses on generative frameworks, codebook matching, periodic autoencoders, animation layering, local motion phases, and neural state machines for character control and animation.

The AI Enablement Stack is a curated collection of venture-backed companies, tools, and technologies that enable developers to build, deploy, and manage AI applications. It provides a structured view of the AI development ecosystem across five key layers: Agent Consumer Layer, Observability and Governance Layer, Engineering Layer, Intelligence Layer, and Infrastructure Layer. Each layer focuses on specific aspects of AI development, from end-user interaction to model training and deployment. The stack aims to help developers find the right tools for building AI applications faster and more efficiently, assist engineering leaders in making informed decisions about AI infrastructure and tooling, and help organizations understand the AI development landscape to plan technology adoption.

The AI Toolkit by Ostris is a collection of tools for machine learning, specifically designed for image generation, LoRA (latent representations of attributes) extraction and manipulation, and model training. It provides a user-friendly interface and extensive documentation to make it accessible to both developers and non-developers. The toolkit is actively under development, with new features and improvements being added regularly. Some of the key features of the AI Toolkit include: - Batch Image Generation: Allows users to generate a batch of images based on prompts or text files, using a configuration file to specify the desired settings. - LoRA (lierla), LoCON (LyCORIS) Extractor: Facilitates the extraction of LoRA and LoCON representations from pre-trained models, enabling users to modify and manipulate these representations for various purposes. - LoRA Rescale: Provides a tool to rescale LoRA weights, allowing users to adjust the influence of specific attributes in the generated images. - LoRA Slider Trainer: Enables the training of LoRA sliders, which can be used to control and adjust specific attributes in the generated images, offering a powerful tool for fine-tuning and customization. - Extensions: Supports the creation and sharing of custom extensions, allowing users to extend the functionality of the toolkit with their own tools and scripts. - VAE (Variational Auto Encoder) Trainer: Facilitates the training of VAEs for image generation, providing users with a tool to explore and improve the quality of generated images. The AI Toolkit is a valuable resource for anyone interested in exploring and utilizing machine learning for image generation and manipulation. Its user-friendly interface, extensive documentation, and active development make it an accessible and powerful tool for both beginners and experienced users.

HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

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CodeCommerceGPT Maroc est un assistant intelligent spécialisé, conçu pour fournir des réponses détaillées et précises basées sur le Code de Commerce marocain. À noter : ce chatbot est destiné à informer et non à prendre des décisions juridiques.

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Expert Real Estate Tool with a Cheeky Twist

A specialized coach for actors auditioning for commercials, offering tailored advice and feedback.

Informative assistant for commercial lending queries.

A smart building management assistant

A commercial real estate broker aiding in finding users for properties.

Ce GPT a pour objectif de me préparer aux partiels de mastère professionnel "Manager du développement commercial". Il me permettra notamment de réviser l'ensemble des cours reçus lors de cette année.

Everything guide to Commercial and Residential Property

Residential and Commercial Electricians

你是一个中国境内资深、专业的商业专家，对长租公寓、写字楼、商场丰富的运营经验

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A mentor for janitorial entrepreneurs offering guidance for scaling cleaning businesses.

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