Best AI tools for< Document Legal Proceedings >

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.

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.

LegalTranslations.com is an AI tool designed for legal document translation, catering to law firms, corporations, and government agencies. The platform offers accurate and secure translations for contracts and patents, with the option for human review services to ensure reliability and compliance. It is tailored to meet the specific needs of the legal sector.

Remko.online is an AI-driven document drafting application that offers solutions for various tasks such as due diligence, ebook creation, info reports, legal questions, and more. It leverages AI technology to streamline document management, enhance legal writing, and revolutionize office operations. Users can easily draft documents by selecting the document type, adding a filename, choosing the language, and following a simple filling form. The application provides examples and warnings for best results and allows users to log in with their Gmail account to access the drafted documents. Additionally, Remko.online offers AI-driven language solutions and consultation services to help businesses stay competitive in the digital age.

Legalysis is a powerful tool for analyzing and summarizing legal documents. It is designed to save time and reduce complexity in legal processes. The tool uses advanced AI technology to examine contracts and other legal documents in depth, detecting potential risks and issues with impressive accuracy. It also converts dense, lengthy legal documents into brief, one-page summaries, making them easier to understand. Legalysis is a valuable tool for law firms, corporate legal departments, and individuals dealing with legal documents.

Walle is an all-in-one AI assistant and browser extension that provides a range of features to enhance your digital experience. It includes a chatbot for instant problem-solving, an AI reader for summarizing and understanding text, an AI writer for generating human-like content, a chat PDF feature for summarizing and translating PDF documents, and image creation and reading capabilities. Walle is seamlessly integrated into Chrome, Safari, and Edge browsers, making it your indispensable companion for navigating the digital world.

LegalPad.ai is an AI-powered smart drafting assistant that helps users draft legal documents efficiently and accurately. With a word limit of 5,000 words per day, users can access a wide range of sample templates for various legal agreements and documents. The platform offers features such as AI drafting wizard, Legalpad editor, saved drafts, set defaults, and sample templates for different types of agreements. Users can sign up to LegalPad.ai to get 10k credits and leverage the AI model GPT 4 for generating bare bones, standard, expanded & detailed, or elite & in-depth drafts in multiple languages.

Airstrip AI is a personalized legal document creation platform powered by AI technology. It offers users the ability to easily generate compliant legal documents tailored to their specific business needs in minutes. The platform simplifies the legal process by providing end-to-end encrypted data management, automated research and analysis, and AI-driven Q&A for document revisions. Airstrip AI aims to empower businesses, especially small startups, with cost-effective and efficient legal solutions without the need for extensive legal knowledge.

Detangle is a legal document analysis tool that helps users understand complex legal documents without the need for an attorney. It provides a summary of the document, identifies key terms and concepts, and highlights potential issues. Detangle is designed to save users time and money by making legal documents more accessible and understandable.

Gavel is a legal document automation and intake software designed for legal professionals. It offers a range of features to help lawyers and law firms automate tasks, streamline workflows, and improve efficiency. Gavel's AI-enabled onboarding process, Blueprint, streamlines the onboarding process without accessing any client data. The software also includes features such as secure client collaboration, integrated payments, and custom workflow creation. Gavel is suitable for legal professionals of all sizes and practice areas, from solo practitioners to large firms.

ContractPodAi is an AI-driven contract management solution designed exclusively for legal and compliance use cases. It offers enterprise-grade GenAI models fine-tuned for legal tasks, modern AI-powered contract management solutions, and automation of legal requests from start to finish. The platform aims to save time, reduce errors, and unlock new insights by leveraging the power of Generative AI. ContractPodAi provides a comprehensive suite of features and solutions for various industries and departments, enabling users to streamline their workflows, enhance data security, and centralize contract and legal document management.

CaseMark is an AI-powered platform designed to empower legal professionals by providing automated workflow and summarization services. It offers concise summaries of legal documents, such as deposition summaries, medical records summaries, trial summaries, and more. With features like custom workflows, integration with existing platforms, enterprise-class security, and the ability to select the best LLM for each use case, CaseMark aims to streamline legal processes and improve efficiency. Trusted by over 6,000 lawyers and legal tech companies, CaseMark is a privacy-first platform that helps users save time and focus on critical legal matters.

SimpliTerms is a browser extension designed to simplify the process of understanding and accepting Terms of Use and Privacy Policies on websites. It provides users with quick and easy-to-understand summaries of lengthy legal documents, helping them save time, avoid legal issues, and protect their privacy. The extension offers improved AI-generated responses, supports multiple languages, and ensures better detection of policies on visited webpages. SimpliTerms is user-friendly, requiring just one click to access real-time summaries, making it a valuable tool for anyone concerned about online privacy and legal compliance.

Lawdeck is an AI-powered legal document automation platform that helps lawyers create, edit, and share documents 10x faster. With Lawdeck, lawyers can automate 80% of their office tasks, including research, drafting, and collaboration. Lawdeck's AI engine provides lawyers with real-time guidance and suggestions, helping them to create high-quality documents that are tailored to their specific needs. Lawdeck also integrates with a variety of other legal tools and services, making it a one-stop shop for all of a lawyer's needs.

pdf → gpt is a tool that allows users to summarize large PDFs using GPT. It is a web-based application that is easy to use and can be accessed from any device with an internet connection. Users simply need to upload a PDF file to the application and then select the desired summary length. The application will then generate a summary of the PDF file that is tailored to the user's needs.

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.

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 simplify legal jargon and complex terms in contracts, agreements, and other legal documents, making it easier for users to understand and interpret them. The application aims to empower individuals, small business owners, and professionals by offering a free tool to navigate legal complexities with ease.

Legalyze.ai is an AI-powered platform designed to assist legal professionals in reviewing and summarizing medical records efficiently. The application utilizes artificial intelligence to transform thousands of medical records into comprehensive chronologies, saving time and improving accuracy. With features like Case Chat AI, Drafting AI, and Handwriting AI, Legalyze.ai streamlines the process of analyzing medical data and drafting legal documents. The platform is integrated with leading LegalTech case management systems and prioritizes enterprise-level security to ensure data protection.

TanyaPDF is an AI-powered tool that helps users to learn and understand PDF documents more efficiently. By leveraging AI technology, TanyaPDF can read and summarize research files, allowing users to interact with the content through an interactive chat interface. Users can save and review conversations, ask questions, receive accurate answers, and enhance their learning experience without losing track of their progress. TanyaPDF is suitable for students, researchers, and professionals who seek assistance in tasks such as thesis writing, research analysis, legal document comprehension, financial report review, and interactive document creation.

Maigon is a state-of-the-art AI application designed for contract review. It offers efficient and accurate AI-driven contract review tools that screen agreements, answer legal questions, and provide guidance for finalizing contracts in record time. Maigon integrates the latest deep learning technology, including the platform-wide integration of OpenAI's GPT-4, to ensure maximum accuracy and efficiency. The application is trusted by industry leaders and helps businesses and organizations worldwide automate the legal document review process, allowing them to focus on strategic tasks.

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.

VerifAI is a document-based question-answering system that addresses hallucinations in generative large language models and search engines. It retrieves relevant documents, generates answers with references, and verifies answers for accuracy. The engine uses generative search technology and a verification model to ensure no misinformation. VerifAI supports various document formats and offers user registration with a React.js interface. It is open-source and designed to be user-friendly, making it accessible for anyone to use.

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

Multilspy is a Python library developed for research purposes to facilitate the creation of language server clients for querying and obtaining results of static analyses from various language servers. It simplifies the process by handling server setup, communication, and configuration parameters, providing a common interface for different languages. The library supports features like finding function/class definitions, callers, completions, hover information, and document symbols. It is designed to work with AI systems like Large Language Models (LLMs) for tasks such as Monitor-Guided Decoding to ensure code generation correctness and boost compilability.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

LLM4EC is an interdisciplinary research repository focusing on the intersection of Large Language Models (LLM) and Evolutionary Computation (EC). It provides a comprehensive collection of papers and resources exploring various applications, enhancements, and synergies between LLM and EC. The repository covers topics such as LLM-assisted optimization, EA-based LLM architecture search, and applications in code generation, software engineering, neural architecture search, and other generative tasks. The goal is to facilitate research and development in leveraging LLM and EC for innovative solutions in diverse domains.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

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.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

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

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

LLMLingua is a tool that utilizes a compact, well-trained language model to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models, achieving up to 20x compression with minimal performance loss. The tool includes LLMLingua, LongLLMLingua, and LLMLingua-2, each offering different levels of prompt compression and performance improvements for tasks involving large language models.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

Specialist in Australian and Queensland law for legal education.

Legislação Brasileira

Personalized legal assistance and document generation.

Convert simple documents and notes into supported legal terminology. Copyright (C) 2024, Sourceduty - All Rights Reserved.

ConveyanceAI streamlines property conveyancing, offering automated legal document handling, compliance guidance, and efficient workflow management for UK and European lawyers and conveyancers

Versatile legal assistant for Kazakhstani law, adept in document drafting, law analysis, and legal correspondence.

GPT especializado em análise técnica e jurídica de documentos. Inicia cada resposta com um monólogo interno reflexivo.

Guides to free legal advice providers. Always consult a lawyer for legal advice.

Expert AI for financial & startup document creation

Transforms code into legal-style documents with precision.

Contracter.ai is a specialized GPT designed to assist users in generating customized legal contracts

Helpt bij het schrijven van bezwaarschriften

为中国律师提供法律咨询和文件质辑的中文助手。

你是一位公文写作专家

いろんな契約書をつくります

Schnell und zuverlässig Vertragsmuster aufsetzen: Der Assistent hilft, die richtigen Daten für den jeweiligen Vertrag zu erfassen und anzupassen. Damit können benutzerdefinierte Verträge präzise und effizient erstellt werden.

A helper for reading and summarizing terms and conditions (or terms of service).

Simplifies complex jobs into easy explanations for all.

Generates precise and friendly NDAs. Ensures all important clauses are covered.

your go to Agreement Drafter