Best AI tools for< patent drafter >

davinci is a patent AI Copilot that helps patent professionals draft better patents in half of the time. It handles the tedious tasks, such as drafting patent body, getting a robust description of the drawings, reviewing patents, and answering office actions, so that patent professionals can focus on high-value tasks. davinci is secure and easy to use, and it supports various document formats commonly used in patent drafting. It is most effective for Software patents, Mechanical patents, and Process & Method patents.

Solve Intelligence is an AI-powered platform designed to assist legal professionals in writing high-quality patents efficiently. The platform offers an in-browser document editor that leverages AI to streamline the patent drafting process. Solve Intelligence ensures complete confidentiality, state-of-the-art encryption, and industry-leading certification to maintain data security. Trusted by IP teams worldwide, the platform allows users to customize AI drafting styles, deploy generative AI into workflows, and achieve unparalleled efficiency in patent drafting.

Dolcera IP Author is an AI-powered patent drafting software designed for patent law firms and corporate patent teams. It offers features such as AI claim drafting, prior art search, invention management, evidence of use assistant, and patent classification. The software helps users generate patent claims seamlessly, access factual patent prior art references, and prepare patent provisionals efficiently. Dolcera IP Author is trusted by leading industry giants and aims to enhance the productivity of patent attorneys and teams.

Patlytics is the premier AI-powered patent platform that serves as a trusted partner in patent creation, protection, enforcement, and defense. It offers comprehensive discovery and analytics, cutting-edge infringement monitoring detection, AI patent drafting assistance, office action response optimization, whitespace detection, patent inventory harvesting, and more. The platform combines market-leading technology with deep industry expertise to provide unmatched quality and innovative solutions for patent professionals.

PatentPal is a generative AI tool designed for Intellectual Property, specifically to automate mechanical writing in patent applications. It simplifies the process by allowing users to input their claims, generate specifications and figures with a single click, and export drafts into Word and Visio or PowerPoint. The tool creates flowcharts for methods, block diagrams for systems and devices, and detailed descriptions of generated figures, abstracts, and summaries to support all claims. Users can customize generated phrases, create multiple profiles, and switch between them instantly, all while seeing the specification update in real time.

SEO Vendor is a white label SEO, PPC, and web design reseller platform that provides agencies with the tools and resources they need to grow their businesses. With SEO Vendor, agencies can offer their clients a full suite of marketing services, including SEO, PPC, web design, and content marketing. SEO Vendor's platform is powered by CORE AI, a patent-pending AI technology that delivers 10X better results than traditional SEO methods. With SEO Vendor, agencies can close more deals, retain clients longer, and grow their businesses faster.

Google Patents is a search engine that allows users to search through the full text of patents that have been granted by the United States Patent and Trademark Office (USPTO). The database includes patents from 1790 to the present day, and users can search by keyword, inventor, assignee, or patent number. Google Patents also provides access to images of the original patent documents, as well as links to related patents and articles.

Gamma.AI is a cloud-based data loss prevention (DLP) solution that uses artificial intelligence (AI) to protect sensitive data in SaaS applications. It provides real-time data discovery and classification, user behavior analytics, and automated remediation capabilities. Gamma.AI is designed to help organizations meet compliance requirements and protect their data from unauthorized access, theft, and loss.

StoryFile is a Conversational Video AI SaaS Technology platform that offers solutions for education and business. It utilizes AI to create interactive videos known as storyfiles, making AI more human. The platform enables users to engage in conversations with AI-powered videos, providing a unique and immersive experience for both education and business purposes.

XLSCOUT is an SOC 2 Type II-compliant, AI super intelligence platform for innovation and IP. It offers a comprehensive solution from instant prior-art searches and AI-assisted ideation to drafting high-quality patents and monetizing innovation. Leveraging Large Language Models (LLMs) and Generative AI, XLSCOUT provides high-quality IP data for patent search and analytics, automates R&D and IP workflows, and helps users stay ahead in the innovation and IP race. The platform ensures top security standards for protecting client data and complies with various industry standards like SOC 2, PCI, ISO, NIST, GDPR, CCPA, HIPAA, and CSA STAR.

Questel is a world leader providing end-to-end, AI-enabled and integrated solutions for Intellectual Property and Innovation Management. The platform offers a range of solutions including Patent, Trademark, Innovation, Legal Operations, and Localization services. Questel's software and services are designed to streamline IP strategy, enhance corporate training programs, and provide valuable content to support users in managing their intellectual assets effectively.

C&EN, a publication of the American Chemical Society, provides the latest news and insights on the chemical industry, including research, technology, business, and policy. It covers a wide range of topics, including analytical chemistry, biological chemistry, business, careers, education, energy, environment, food, materials, people, pharmaceuticals, physical chemistry, policy, research integrity, safety, and synthesis.

ResearchRabbit is a research tool that helps researchers discover and organize academic papers. It uses artificial intelligence to recommend papers that are relevant to a researcher's interests and to visualize networks of papers and co-authorships. ResearchRabbit also allows researchers to collaborate on collections of papers and to share their findings with others.

OpenRead is an AI-powered research tool that helps users discover, understand, and organize scientific literature. It offers a variety of features to make research more efficient and effective, including semantic search, AI summarization, and note-taking tools. OpenRead is designed to help researchers of all levels, from students to experienced professionals, save time and improve their research outcomes.

ArxivPaperAI is an AI-powered research paper summarizer that helps you quickly and easily understand the key points of academic papers. With ArxivPaperAI, you can:

Lex Machina is a Legal Analytics platform that provides comprehensive insights into litigation track records of parties across the United States. It offers accurate and transparent analytic data, exclusive outcome analytics, and valuable insights to help law firms and companies craft successful strategies, assess cases, and set litigation strategies. The platform uses a unique combination of machine learning and in-house legal experts to compile, clean, and enhance data, providing unmatched insights on courts, judges, lawyers, law firms, and parties.

Artera is a patient communication platform that offers healthcare solutions to streamline intake and payments, improve patient engagement, and deliver a holistic view of interactions powered by AI. The platform helps healthcare organizations unify digital communications, reach patients efficiently, and drive customer ROI through analytics, automated workflows, and live agent support.

MeddiPop is an AI-powered platform that seamlessly connects patients with medical practices. It simplifies the process by allowing patients to submit applications for services, which are then matched with the best possible practice using AI algorithms. The platform supports various industries such as plastic surgery, dermatology, cosmetic dentistry, and ophthalmology. MeddiPop aims to revolutionize healthcare by efficiently matching patients with the right medical practices, providing a user-friendly experience for both patients and practices.

Glass is an AI-powered clinical decision support platform that empowers clinicians by providing differential diagnoses and drafting clinical plans. By combining a large language model with evidence-based clinical guidelines, Glass analyzes patient summaries to suggest diagnoses and treatment steps. The platform aims to optimize medical practice, improve patient care, and enhance diagnostic accuracy worldwide.

Abridge is a generative AI tool designed for clinical conversations in healthcare. It transforms patient-clinician interactions into structured clinical notes in real-time, utilizing advanced AI technology. The platform saves time for clinicians, offers clinically accurate summaries across specialties, supports multiple languages, and generates highly accurate clinical note drafts. Abridge is integrated directly inside Epic, enabling seamless use within existing workflows to improve efficiency and patient care.

The DALM (Domain Adapted Language Modeling) toolkit is designed to unify general LLMs with vector stores to ground AI systems in efficient, factual domains. It provides developers with tools to build on top of Arcee's open source Domain Pretrained LLMs, enabling organizations to deeply tailor AI according to their unique intellectual property and worldview. The toolkit contains code for fine-tuning a fully differential Retrieval Augmented Generation (RAG-end2end) architecture, incorporating in-batch negative concept alongside RAG's marginalization for efficiency. It includes training scripts for both retriever and generator models, evaluation scripts, data processing codes, and synthetic data generation code.

Phoenix is a tool that provides MLOps and LLMOps insights at lightning speed with zero-config observability. It offers a notebook-first experience for monitoring models and LLM Applications by providing LLM Traces, LLM Evals, Embedding Analysis, RAG Analysis, and Structured Data Analysis. Users can trace through the execution of LLM Applications, evaluate generative models, explore embedding point-clouds, visualize generative application's search and retrieval process, and statistically analyze structured data. Phoenix is designed to help users troubleshoot problems related to retrieval, tool execution, relevance, toxicity, drift, and performance degradation.

Bolts package provides a variety of components to extend PyTorch Lightning, such as callbacks & datasets, for applied research and production. Users can accelerate Lightning training with the Torch ORT Callback to optimize ONNX graph for faster training & inference. Additionally, users can introduce sparsity with the SparseMLCallback to accelerate inference by leveraging the DeepSparse engine. Specific research implementations are encouraged, with contributions that help train SSL models and integrate with Lightning Flash for state-of-the-art models in applied research.

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.

A curated list of Generative AI projects, tools, artworks, and models

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Python-tgpt is a Python package that enables seamless interaction with over 45 free LLM providers without requiring an API key. It also provides image generation capabilities. The name _python-tgpt_ draws inspiration from its parent project tgpt, which operates on Golang. Through this Python adaptation, users can effortlessly engage with a number of free LLMs available, fostering a smoother AI interaction experience.

DataDreamer is an advanced toolkit designed to facilitate the development of edge AI models by enabling synthetic data generation, knowledge extraction from pre-trained models, and creation of efficient and potent models. It eliminates the need for extensive datasets by generating synthetic datasets, leverages latent knowledge from pre-trained models, and focuses on creating compact models suitable for integration into any device and performance for specialized tasks. The toolkit offers features like prompt generation, image generation, dataset annotation, and tools for training small-scale neural networks for edge deployment. It provides hardware requirements, usage instructions, available models, and limitations to consider while using the library.

Seismometer is a suite of tools designed to evaluate AI model performance in healthcare settings. It helps healthcare organizations assess the accuracy of AI models and ensure equitable care for diverse patient populations. The tool allows users to validate model performance using standardized evaluation criteria based on local data and workflows. It includes templates for analyzing statistical performance, fairness across different cohorts, and the impact of interventions on outcomes. Seismometer is continuously evolving to incorporate new validation and analysis techniques.

CareGPT is a medical large language model (LLM) that explores medical data, training, and deployment related research work. It integrates resources, open-source models, rich data, and efficient deployment methods. It supports various medical tasks, including patient diagnosis, medical dialogue, and medical knowledge integration. The model has been fine-tuned on diverse medical datasets to enhance its performance in the healthcare domain.

The vscode-dbt-power-user is an open-source extension that enhances the functionality of Visual Studio Code to seamlessly work with dbt™. It provides features such as auto-complete for dbt™ code, previewing query results, column lineage visualization, generating dbt™ models, documentation generation, deferring model builds, running parent/child models and tests with a click, compiled query preview and explanation, project health check, SQL validation, BigQuery cost estimation, and other features like dbt™ logs viewer. The extension is fully compatible with dev containers, code spaces, and remote extensions, supporting dbt™ versions above 1.0.

OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.

This repository contains Quarkus extensions that facilitate seamless integration between Quarkus and LangChain4j, enabling easy incorporation of Large Language Models (LLMs) into your Quarkus applications. Here is a non-exhaustive list of features that are currently supported: Declarative AI services, Integration with diverse LLMs (OpenAI GPTs, Hugging Faces, Ollama...), Tool support, Embedding support, Document store integration (Redis, Chroma, Infinispan...), Native compilation support, Integration with Quarkus observability stack (metrics, tracing...).

Galxe AIO is a versatile tool designed to automate various tasks on social media platforms like Twitter, email, and Discord. It supports tasks such as following, retweeting, liking, and quoting on Twitter, as well as solving quizzes, submitting surveys, and more. Users can link their Twitter accounts, email accounts (IMAP or mail3.me), and Discord accounts to the tool to streamline their activities. Additionally, the tool offers features like claiming rewards, quiz solving, submitting surveys, and managing referral links and account statistics. It also supports different types of rewards like points, mystery boxes, gas-less OATs, gas OATs and NFTs, and participation in raffles. The tool provides settings for managing EVM wallets, proxies, twitters, emails, and discords, along with custom configurations in the `config.toml` file. Users can run the tool using Python 3.11 and install dependencies using `pip` and `playwright`. The tool generates results and logs in specific folders and allows users to donate using TRC-20 or ERC-20 tokens.

Gensokyo-llm is a tool designed for Gensokyo and Onebotv11, providing a one-click solution for large models. It supports various Onebotv11 standard frameworks, HTTP-API, and reverse WS. The tool is lightweight, with built-in SQLite for context maintenance and proxy support. It allows easy integration with the Gensokyo framework by configuring reverse HTTP and forward HTTP addresses. Users can set system settings, role cards, and context length. Additionally, it offers an openai original flavor API with automatic context. The tool can be used as an API or integrated with QQ channel robots. It supports converting GPT's SSE type and ensures memory safety in concurrent SSE environments. The tool also supports multiple users simultaneously transmitting SSE bidirectionally.

LLM-Minutes-of-Meeting is a project showcasing NLP & LLM's capability to summarize long meetings and automate the task of delegating Minutes of Meeting(MoM) emails. It converts audio/video files to text, generates editable MoM, and aims to develop a real-time python web-application for meeting automation. The tool features keyword highlighting, topic tagging, export in various formats, user-friendly interface, and uses Celery for asynchronous processing. It is designed for corporate meetings, educational institutions, legal and medical fields, accessibility, and event coverage.

Wandbot is a question-answering bot designed for Weights & Biases documentation. It employs Retrieval Augmented Generation with a ChromaDB backend for efficient responses. The bot features periodic data ingestion, integration with Discord and Slack, and performance monitoring through logging. It has a fallback mechanism for model selection and is evaluated based on retrieval accuracy and model-generated responses. The implementation includes creating document embeddings, constructing the Q&A RAGPipeline, model selection, deployment on FastAPI, Discord, and Slack, logging and analysis with Weights & Biases Tables, and performance evaluation.

Rubra is a collection of open-weight large language models enhanced with tool-calling capability. It allows users to call user-defined external tools in a deterministic manner while reasoning and chatting, making it ideal for agentic use cases. The models are further post-trained to teach instruct-tuned models new skills and mitigate catastrophic forgetting. Rubra extends popular inferencing projects for easy use, enabling users to run the models easily.

Assists in patent and trademark applications, providing drafting and filing guidance.

Assist users with matters related to patents

Explains Japanese patent laws

Assists in patent idea exploration and creation.

Expert in patent litigation before the UPC and German Courts

Inventive assistant for unique patent ideas

A high-tech patent attorney assistant for drafting applications and navigating patent law.

Helps with valuation and evaluation of your patent

Secure Your Intellectual Property Innovations: Specializes in IP creation, management, and protection, offering expert guidance in U.S. copyright, trademark, patent, and trade secret laws ensuring your intellectual property is well-protected and leveraged effectively. (v1.15)

Japanese patent data graph generator with user engagement

Expert guidance on patent, copyright, trademark processes.

This GPT explains the US11769017B1 patent and how it relates to Google's SGE (Search Generative Experience).

是一个可以帮助你撰写核心期刊专利论文的功能。它可以根据你的专利信息、研究背景、创新点、实施效果等信息，为你生成一份符合格式要求和技术要求的专利论文草稿，包括标题、摘要、关键词、引言、专利介绍、实施效果、结论和参考文献等。它还可以提供一些参考文献和范文，帮助你完善和优化你的专利论文。

优先完成建议，生成符合指南和要求书的专利结构。

IP Law Expert with MPEP Knowledge

Te ayudamos a resolver tus dudas de patentes y modelos de utilidad en España.

您的创新守护者。我们专注于技术专利撰写指导，帮助您清晰表达创新思维，确保每项发明都能顺利转化为权威的专利文档。以专业智慧，保驾护航您的每一步创新旅程。

Invention Consultant: Assists in brainstorming, patenting, and marketing inventions.

Your go-to guru for Japan's trademark terrain!

Trademark Process Assistant, Not an Attorney & Definitely Not Legal Advice (independently verify info received). Gain insights on U.S. trademark process & concepts, USPTO resources, application steps & more - all while being reminded of the importance of consulting legal pros 4 specific guidance.