Best AI tools for< Legal Expert >

AI Lawyer Lab is a platform that enables legal professionals to leverage artificial intelligence technology to enhance their legal services. By utilizing AI algorithms, users can streamline legal processes, analyze vast amounts of legal data efficiently, and generate insights to support decision-making. The platform empowers lawyers to transform their legal expertise into innovative AI solutions, ultimately improving the quality and efficiency of legal services.

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.

Lexology is a next-generation search tool designed to help users find the right lawyer for their needs. It offers a wide range of resources, including practical analysis, in-depth research tools, primary sources, and expert reports. The platform aims to be a go-to resource for legal professionals and individuals seeking legal expertise.

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.

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.

M-Wakili is an AI-powered legal assistant designed to provide instant legal advice, research, answers, and analysis on any legal topic, available 24/7. It caters to lawyers, law students, and the general public, offering accurate and reliable responses based on Kenyan law. M-Wakili aims to revolutionize the legal field by enhancing accessibility and effectiveness of legal expertise, while also aiding in the advancement of law professionals.

Essay Check is a free AI-powered tool that helps students, teachers, content creators, SEO specialists, and legal experts refine their writing, detect plagiarism, and identify AI-generated content. With its user-friendly interface and advanced algorithms, Essay Check analyzes text to identify grammatical errors, spelling mistakes, instances of plagiarism, and the likelihood that content was written using AI. The tool provides detailed feedback and suggestions to help users improve their writing and ensure its originality and authenticity.

The website e-label.eu offers a platform for wineries to easily create electronic labels for wines in compliance with the EU E-Label regulations. Developed with legal experts, the tool allows users to generate E-Labels quickly and affordably, even without prior knowledge. With features like online E-Label storage for 10 years, transparent pricing, interfaces for easy data import, collective QR codes for price lists, and automatic translation into EU languages, the platform simplifies the process of wine labeling. Partnerships with agencies and printers are also available, offering competitive rates for providing e-labeling services. The site provides webinars, FAQs, and a blog to educate users on the EU wine labeling regulations and how to use the platform effectively.

Matey AI is an advanced AI application designed to empower legal teams with cutting-edge AI technologies for document classification, document review, outcome prediction, automated trial preparation, and more. The platform leverages AI expertise and legal expertise to provide efficient solutions for legal practices of all sizes, ensuring data security, compliance, and seamless integration with existing legal workflows.

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.

Go Legal AI is the UK's #1 Consumer Legal Tech Platform offering online legal services, support, and advice from top lawyers. The platform provides free lawyer consultations, generates legal documents 10x faster with award-winning Legal AI, reviews legal documents 90% faster, and offers expert advice from top lawyers and service providers at discounted rates. Users can get instant answers 24/7, collaborate and sign documents, monitor supply chain risks with instant alerts, and save money with exclusive deals from partners. The platform caters to both individuals and businesses, providing smart templates, risk & insolvency tracking, business health checks, legal insights, how-to guides, and glossaries.

Robin AI is a legal AI application that accelerates contract review and analysis processes, providing precision edits, fast contract data retrieval, and high-quality contract services. The platform offers AI-native software integrated into Microsoft Word, empowering legal teams to streamline contract processes efficiently. With features like contract reports generation, clause search, and fast contract turnaround times, Robin AI aims to simplify contract management for businesses worldwide. The application combines proprietary machine learning models with expert legal professionals to deliver scalable solutions and enterprise-grade security measures. Robin AI is designed to enhance legal teams' productivity, mitigate risks, and ensure consistent high-quality work in a secure and private environment.

Inkwise is an AI-powered platform that helps users craft expert documents by extracting and integrating key information seamlessly from uploaded files. The platform offers features such as smart content extraction, predictive writing, document templates, and AI chat with files. Inkwise automates the document creation process by analyzing uploaded documents, extracting relevant data, and integrating it into customizable templates. It caters to various professions including academics, accounting, finance, corporate treasury, corporate tax, product management, procurement, legal, and marketing.

Wolters Kluwer is a global provider of professional information, software solutions, and services for various industries, including healthcare, tax and accounting, ESG, finance, compliance, and legal. The company's solutions combine domain expertise with advanced technology to help professionals make informed decisions, optimize processes, and achieve better outcomes. Wolters Kluwer's offerings include clinical decision support tools, tax and accounting software, ESG reporting solutions, regulatory compliance solutions, and legal research databases.

Hotseat AI is a legal research assistant that allows users to search through legal documents and find expert-level quotes matching their queries in seconds. It offers semantic search capabilities, metadata extraction, and the ability to search over both public and private documents. The tool is currently in private beta with a focus on EU regulations related to tech, fintech, banking, and financial services.

Olympia is an AI-powered consultancy platform that offers smart and affordable AI consultants to help businesses with various tasks such as business strategy, online marketing, content generation, legal advice, software development, and sales. The platform features continuous learning capabilities, real-time research, email integration, vision capabilities, and more. Olympia aims to streamline operations, reduce expenses, and boost productivity for startups, small businesses, and solopreneurs by providing expert AI teams powered by advanced language models like GPT4 and Claude 3. The platform ensures secure communication, no rate limits, long-term memory, and outbound email capabilities.

Blue J is a legal technology company founded in 2015, dedicated to enhancing tax research with the power of AI. Their AI-powered tool, Ask Blue J, provides fast and verifiable answers to tax questions, enabling tax professionals to work more efficiently. Blue J's generative AI technology helps users find authoritative sources quickly, expedite drafting processes, and cater to junior staff's research needs. The tool is trusted by hundreds of leading firms and offers a comprehensive database of curated tax content.

Thomson Reuters is a leading provider of business information services. The company provides a wide range of products and services to professionals in the legal, tax, accounting, and risk management industries. Thomson Reuters' products and services include news and information, research and analysis, software and technology, and education and training. The company has a global presence with operations in over 100 countries.

FirmPilot is an AI Law Firm Marketing solution that helps law firms generate more leads and clients through AI-driven online marketing strategies. It automates the process of analyzing competitors, creating high-quality marketing content, and optimizing SEO and PPC ads to improve visibility and performance. FirmPilot offers real-time insights into lead generation tactics and is trusted by fast-growing law firms for its effectiveness and ease of use.

VIDUR is an AI agent designed for Corporate, Tax & Regulatory Laws. It provides expert-verified responses, updates, advisory, and drafts in a simple language format. The application is built by Ex Big4 and Tier 1 Law Firm Professionals, offering up-to-date knowledge from 250+ experts and Bharat Laws. VIDUR streamlines research processes, saves time, and ensures accuracy by harnessing proprietary access to knowledge and delivering high-quality, reliable results across diverse domains such as Income Tax, GST, Companies Act, and more.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

LawGlance is an AI-powered legal assistant that aims to bridge the gap between people and legal access. It is a free, open-source initiative designed to provide quick and accurate legal support tailored to individual needs. The project covers various laws, with plans for international expansion in the future. LawGlance utilizes AI-powered Retriever-Augmented Generation (RAG) to deliver legal guidance accessible to both laypersons and professionals. The tool is developed with support from mentors and experts at Data Science Academy and Curvelogics.

LoLLMs WebUI (Lord of Large Language Multimodal Systems: One tool to rule them all) is a user-friendly interface to access and utilize various LLM (Large Language Models) and other AI models for a wide range of tasks. With over 500 AI expert conditionings across diverse domains and more than 2500 fine tuned models over multiple domains, LoLLMs WebUI provides an immediate resource for any problem, from car repair to coding assistance, legal matters, medical diagnosis, entertainment, and more. The easy-to-use UI with light and dark mode options, integration with GitHub repository, support for different personalities, and features like thumb up/down rating, copy, edit, and remove messages, local database storage, search, export, and delete multiple discussions, make LoLLMs WebUI a powerful and versatile tool.

ChatLaw is an open-source legal large language model tailored for Chinese legal scenarios. It aims to combine LLM and knowledge bases to provide solutions for legal scenarios. The models include ChatLaw-13B and ChatLaw-33B, trained on various legal texts to construct dialogue data. The project focuses on improving logical reasoning abilities and plans to train models with parameters exceeding 30B for better performance. The dataset consists of forum posts, news, legal texts, judicial interpretations, legal consultations, exam questions, and court judgments, cleaned and enhanced to create dialogue data. The tool is designed to assist in legal tasks requiring complex logical reasoning, with a focus on accuracy and reliability.

CuMo is a project focused on scaling multimodal Large Language Models (LLMs) with Co-Upcycled Mixture-of-Experts. It introduces CuMo, which incorporates Co-upcycled Top-K sparsely-gated Mixture-of-experts blocks into the vision encoder and the MLP connector, enhancing the capabilities of multimodal LLMs. The project adopts a three-stage training approach with auxiliary losses to stabilize the training process and maintain a balanced loading of experts. CuMo achieves comparable performance to other state-of-the-art multimodal LLMs on various Visual Question Answering (VQA) and visual-instruction-following benchmarks.

The Intelligence Toolkit is a suite of interactive workflows designed to help domain experts make sense of real-world data by identifying patterns, themes, relationships, and risks within complex datasets. It utilizes generative AI (GPT models) to create reports on findings of interest. The toolkit supports analysis of case, entity, and text data, providing various interactive workflows for different intelligence tasks. Users are expected to evaluate the quality of data insights and AI interpretations before taking action. The system is designed for moderate-sized datasets and responsible use of personal case data. It uses the GPT-4 model from OpenAI or Azure OpenAI APIs for generating reports and insights.

agentUniverse is a multi-agent framework based on large language models, providing flexible capabilities for building individual agents. It focuses on multi-agent collaborative patterns, integrating domain experience to help agents solve problems in various fields. The framework includes pattern components like PEER and DOE for event interpretation, industry analysis, and financial report generation. It offers features for agent construction, multi-agent collaboration, and domain expertise integration, aiming to create intelligent applications with professional know-how.

The `vectara-agentic` Python library is designed for developing powerful AI assistants using Vectara and Agentic-RAG. It supports various agent types, includes pre-built tools for domains like finance and legal, and enables easy creation of custom AI assistants and agents. The library provides tools for summarizing text, rephrasing text, legal tasks like summarizing legal text and critiquing as a judge, financial tasks like analyzing balance sheets and income statements, and database tools for inspecting and querying databases. It also supports observability via LlamaIndex and Arize Phoenix integration.

Hurley AI is a next-gen framework for developing intelligent agents through Retrieval-Augmented Generation. It enables easy creation of custom AI assistants and agents, supports various agent types, and includes pre-built tools for domains like finance and legal. Hurley AI integrates with LLM inference services and provides observability with Arize Phoenix. Users can create Hurley RAG tools with a single line of code and customize agents with specific instructions. The tool also offers various helper functions to connect with Hurley RAG and search tools, along with pre-built tools for tasks like summarizing text, rephrasing text, understanding memecoins, and querying databases.

DBRX is a large language model trained by Databricks and made available under an open license. It is a Mixture-of-Experts (MoE) model with 132B total parameters and 36B live parameters, using 16 experts, of which 4 are active during training or inference. DBRX was pre-trained for 12T tokens of text and has a context length of 32K tokens. The model is available in two versions: a base model and an Instruct model, which is finetuned for instruction following. DBRX can be used for a variety of tasks, including text generation, question answering, summarization, and translation.

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, ...

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-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.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

AI Agents Framework is a .NET framework built on Semantic Kernel and Orleans for creating and hosting event-driven AI Agents. It is currently in an experimental phase and not recommended for production use. The framework aims to automate requirements engineering, planning, and coding processes using event-driven agents.

agentUniverse is a framework for developing applications powered by multi-agent based on large language model. It provides essential components for building single agent and multi-agent collaboration mechanism for customizing collaboration patterns. Developers can easily construct multi-agent applications and share pattern practices from different fields. The framework includes pre-installed collaboration patterns like PEER and DOE for complex task breakdown and data-intensive tasks.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

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Consultor jurídico especializado em direito português, com pesquisas online atualizadas. Aviso: Este GPT não substitui consulta com um advogado profissional.