Best AI tools for< Search Legal Databases >

Midpage is a legal research platform powered by Generative AI, designed to provide comprehensive legal research capabilities to students and professionals. The platform offers advanced features such as grid-based search, case filtering with AI, proactive annotations, and seamless integration of research into documents. Midpage aims to streamline the legal research process by leveraging AI technology to enhance efficiency and accuracy in analyzing legal cases and statutes.

ClearAI is an AI-powered platform that offers instant extraction of insights, effortless document navigation, and natural language interaction. It enables users to upload PDFs securely, ask questions, and receive accurate responses in seconds. With features like structured results, intelligent search, and lifetime access offers, ClearAI simplifies tasks such as analyzing company reports, risk assessment, audit support, contract review, legal research, and due diligence. The platform is designed to streamline document analysis and provide relevant data efficiently.

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.

Eskwai is an AI-powered legal research tool that revolutionizes legal research by providing instant, trustworthy answers and insights from a comprehensive database of case laws and legislation. It features Smart Citator, a pioneering AI-powered citation index for African case laws, along with advanced features like document downloads, legislation amendment tracking, and enhanced Ask Kwame with a higher intelligence mode. Eskwai is trusted by over 2,000 law students and legal professionals across 120+ law firms and legal departments.

CompFox is an AI-enhanced legal research tool designed for workers' compensation professionals in California. It streamlines legal research by providing access to a comprehensive database of workers' compensation case law and statutory codes. With features like AI-driven search, chat for case-specific analysis, intelligent case file analysis, collaborative research folders, and one-stop statutory code search, CompFox helps attorneys and insurance adjusters save time, reduce stress, and improve case outcomes.

Law.co is an advanced AI platform designed specifically for lawyers and law firms to streamline legal operations and enhance efficiency. The platform offers a semantic database search with access to over 1 million historical legal cases and 40,000 legal contracts, enabling users to perform detailed legal research, contract drafting, document review, and more. Law.co leverages custom-trained artificial intelligence and semantic search tools to deliver measurable results, revolutionizing legal research and document preparation processes for legal professionals.

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.

Hotseat AI is a legal research assistant that allows users to search through a collection of legal documents to find expert-level quotes matching their queries in seconds. It offers semantic search capabilities, metadata extraction, and the ability to search over 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.

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.

descrybe.ai is a groundbreaking generative AI legal search engine that is revolutionizing legal research by providing instant access to more than 3.6 million summarized judicial opinions in English and Spanish. Built in Boston, this platform is designed to democratize access to the law for everyone, offering user-friendly and free legal information powered by AI technology. With descrybe.ai, users can search for relevant case law using natural language queries, explore nuanced results, and access simplified versions of legal information in both English and Spanish.

Relativity is an AI-powered eDiscovery and legal search software solution that helps customers organize data, discover truth, and act on it. It offers a range of features such as proactive security, user experience enhancements, open platform for customization, legendary support, and AI-powered review tools. Relativity is trusted by thousands of organizations to handle sensitive data and streamline data discovery processes.

Search&AI is a comprehensive platform designed for patent due diligence, offering efficient and accurate results in minutes. It provides services such as prior art search, claim chart generation, novelty diligence analysis, portfolio analysis, document search, and AI-powered chatbot assistance. The platform is built by a team of experienced engineers and is tailored to streamline the patent discovery and analysis process, saving time and money compared to traditional outsourced search firms.

Scrol.ai is a powerful AI-powered tool that allows users to search, analyze, and generate data from various sources. It utilizes advanced language models like GPT-4 and ChatGPT to provide users with a seamless and efficient way to extract insights, summarize information, and create new content. With its user-friendly interface and robust features, Scrol.ai empowers users to streamline their workflow, enhance productivity, and make informed decisions.

Wix.com is a website building platform that allows users to create stunning websites with ease. It offers a user-friendly interface with drag-and-drop functionality, making it simple for individuals and businesses to design their online presence. With a wide range of templates and customization options, Wix.com caters to users of all skill levels. Whether you're a beginner looking to build a personal blog or a professional wanting to showcase your portfolio, Wix.com provides the tools and features to bring your vision to life.

CoFinance is an AI-driven legal intelligence and collaboration hub that revolutionizes legal and compliance research workflows. It combines semantic search, multi-faceted document analysis, and intelligent organization tools to provide precise and efficient research solutions. The platform leverages cutting-edge Regulatory Artificial Intelligence (RAI) technology to ensure that answers are sourced from real, authoritative data. CoFinance prioritizes simplifying regulatory complexity, mitigating compliance risks, accelerating research efficiency, and providing reliable partnership for long-term compliance success. It caters to organizations navigating complex regulatory landscapes, offering quick adaptation to changes and seamless compliance across various industries and jurisdictions.

LinkSquares is an all-in-one legal technology platform powered by AI that helps in-house legal teams streamline their contracting process, organize and search contracts, collaborate better, and centralize all their legal work. With LinkSquares, legal teams can create, review, manage, and sign contracts, centralize their work and keep projects moving, and get scalability, efficiency, and connectivity.

Colit AI is an AI-powered legal research tool designed to provide comprehensive and accurate legal information to users. The platform supports various jurisdictions, including Federal Appellate, New York Appellate, and Bankruptcy. Users can enter legal questions and receive relevant answers and insights. Colit AI aims to streamline legal research processes and enhance the efficiency of legal professionals by offering a user-friendly interface and advanced search capabilities.

Dokkio is an AI-powered platform that helps users find, organize, and understand all of their online files. By leveraging AI technology, Dokkio enables users to work with their cloud files efficiently and collaboratively. The platform offers tools for managing multiple activities, finding documents and files, compiling research materials, and organizing a content library. Dokkio aims to streamline the process of accessing and utilizing online content, regardless of where it is stored.

Zefort is an AI-powered contract management solution that offers a zero-effort approach to managing contracts. It allows users to create, sign, and store contracts with ease, providing features like eSignatures, automated reminders, and secure storage. Zefort is designed to streamline contract processes for legal teams, procurement, HR teams, sales teams, and company administration. The platform integrates advanced AI technology to enhance contract management efficiency and accuracy, catering to organizations of all sizes. With bank-level security measures and a user-friendly interface, Zefort ensures a seamless contract management experience.

Focal is an AI-powered tool that helps users summarize and organize their research and reading materials. It offers features such as AI-generated summaries, document highlighting, and collaboration tools. Focal is designed for researchers, students, professionals, and anyone who needs to efficiently process large amounts of information.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

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.

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.

Azure Functions OpenAI Extension is a project that adds support for OpenAI LLM (GPT-3.5-turbo, GPT-4) bindings in Azure Functions. It provides NuGet packages for various functionalities like text completions, chat completions, assistants, embeddings generators, and semantic search. The project requires .NET 6 SDK or greater, Azure Functions Core Tools v4.x, and specific settings in Azure Function or local settings for development. It offers features like text completions, chat completion, assistants with custom skills, embeddings generators for text relatedness, and semantic search using vector databases. The project also includes examples in C# and Python for different functionalities.

Marqo is more than a vector database, it's an end-to-end vector search engine for both text and images. Vector generation, storage and retrieval are handled out of the box through a single API. No need to bring your own embeddings.

SeaGOAT is a local search tool that leverages vector embeddings to enable you to search your codebase semantically. It is designed to work on Linux, macOS, and Windows and can process files in various formats, including text, Markdown, Python, C, C++, TypeScript, JavaScript, HTML, Go, Java, PHP, and Ruby. SeaGOAT uses a vector database called ChromaDB and a local vector embedding engine to provide fast and accurate search results. It also supports regular expression/keyword-based matches. SeaGOAT is open-source and licensed under an open-source license, and users are welcome to examine the source code, raise concerns, or create pull requests to fix problems.

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

LangChain is a C# implementation of the LangChain library, which provides a composable way to build applications with LLMs (Large Language Models). It offers a variety of features, including: - A unified interface for interacting with different LLMs, such as OpenAI's GPT-3 and Microsoft's Azure OpenAI Service - A set of pre-built chains that can be used to perform common tasks, such as question answering, summarization, and translation - A flexible API that allows developers to create their own custom chains - A growing community of developers and users who are contributing to the project LangChain is still under development, but it is already being used to build a variety of applications, including chatbots, search engines, and writing assistants. As the project continues to mature, it is expected to become an increasingly valuable tool for developers who want to build applications with LLMs.

Contoso Chat is a Python sample demonstrating how to build, evaluate, and deploy a retail copilot application with Azure AI Studio using Promptflow with Prompty assets. The sample implements a Retrieval Augmented Generation approach to answer customer queries based on the company's product catalog and customer purchase history. It utilizes Azure AI Search, Azure Cosmos DB, Azure OpenAI, text-embeddings-ada-002, and GPT models for vectorizing user queries, AI-assisted evaluation, and generating chat responses. By exploring this sample, users can learn to build a retail copilot application, define prompts using Prompty, design, run & evaluate a copilot using Promptflow, provision and deploy the solution to Azure using the Azure Developer CLI, and understand Responsible AI practices for evaluation and content safety.

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and 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.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

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)

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

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Expert guidance on patent, copyright, trademark processes.

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.

Primeiro robô assistente jurídico brasileiro especializado em busca de jurisprudência. - Para ser utilizado por advogados e profissionais jurídicos que buscam um assistente jurídico baseado em Inteligência Artificial.

A black hat SEO expert offering sneaky yet legal tactics.

Assists with text extraction from PDFs

AI Search Engine - About us & for Advertising at DigitalMediaMarketing.Agency

I conjure advanced Google search queries.

Analyzes GSC data and highlights the impact of search updates.

Creates Google Ads headlines in bulk based on direct response copy principles.

Search data on the impact of AI on jobs, productivity and operations published by Synthetic Work (https://synthetic.work)

Analyse content through the official Google Search Quality Rater Guidelines.

Refines search queries with specific terms and includes Google links

Your go-to expert for web searches.

Proustian Chatbot with Full French & English Volumes

GPT search. Click ["] to start working.

Browse the web for the search term and summarize the results from sources

Optimized with advanced search operators for refined results. Specializing in finding and linking top custom GPTs from builders around the world. Version 0.3.0

Create the most effective database or search engine queries using keywords, truncation, and Boolean operators!

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