Best AI tools for< Research Case Law >

LawDroid is an AI legal assistant application designed to help legal professionals work smarter and more efficiently. It serves as a force multiplier, enabling users to accomplish more tasks without additional overhead. LawDroid offers features such as case law research, drafting emails and letters, and document analysis. It also provides benefits like intake new clients, data-driven decisions, automate documents, human in the loop automation, and building scalable tools. The application is used by students, faculty, and legal professionals to streamline legal processes and improve client experiences.

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.

AI Lawyer is a personal AI legal assistant that provides legal research, document handling, and other legal services to consumers, lawyers, and law students. It is designed to make legal services more accessible and affordable, and to help users understand and navigate the legal system. AI Lawyer is available online, on iOS, and on Android.

vLex is a legal AI platform that offers live case law, statutes, regulations, and legal analytics. It provides advanced engineering to deliver precise answers with transparent citations across 50 states and 17 countries. The platform includes Vincent AI, which offers over 20 AI workflows to summarize facts, contracts, build timelines, and compare jurisdictions. vLex is designed for global firms and Fortune 500 counsel, combining the largest legal database with expert legal editors tracking judicial treatment and citations.

Paxton is an all-in-one AI legal assistant platform designed to amplify legal practice by enabling legal professionals to conduct research, accelerate drafting, and analyze documents efficiently. It provides comprehensive document analysis, contextual research, and thought partnership to enhance the quality and efficiency of legal teams' work. Paxton prioritizes security and confidentiality, ensuring data protection and integrity for every client interaction. Join thousands of lawyers who trust and use Paxton to perform at their best, enhance client outcomes, and grow their business.

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.

Legalit Tools is a legal technology platform offering AI-powered tools for legal professionals. It enhances legal research, document automation, client acquisition, and funding solutions, empowering lawyers to deliver superior services efficiently. The platform aims to streamline operations for legal professionals by providing tools for research, document creation, client relations, and more, ultimately improving efficiency and service quality. Legalit Tools is dedicated to transforming the legal industry through AI, with a focus on responsible use of tools and resources, user data protection, and maintaining confidentiality.

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.

Paxton is an advanced AI platform designed to support legal and business professionals by automating and enhancing tasks such as contract review, legal drafting, and document analysis. Utilizing state-of-the-art artificial intelligence, including proprietary Legal Language Models, Paxton streamlines complex legal processes, improves accuracy, and drives efficiency across a wide range of applications.

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.

Ask Blue J is a generative AI tool designed specifically for tax experts. It provides fast, verifiable answers to complex tax questions, helping professionals work smarter and more efficiently. With its extensive database of curated tax content and industry-leading AI technology, Ask Blue J enables users to conduct efficient research, expedite drafting, and enhance their overall productivity.

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.

LawY is a trusted AI legal assistant designed to accelerate legal research by providing matter-specific instant AI-answers with optional verification by qualified lawyers. It blends cutting-edge legal AI with human expertise to enhance firm efficiency and accuracy. LawY offers unprecedented speed in legal tasks, case summaries on demand, jurisdiction-specific answers, and integrated legal AI within existing practice software. The platform is trusted by 34,000+ lawyers worldwide and delivers verified legal AI to improve the accuracy of legal answers.

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.

Anytime AI™ is a premier AI legal assistant designed specifically for plaintiff lawyers. It offers a range of features to help lawyers conduct legal research, summarize depositions, analyze medical records, and draft legal documents efficiently. Anytime AI™ aims to boost revenue, amplify efficiency, unlock more clients, and fortify work-life balance for legal professionals. Trusted by Associations of Justice and Plaintiff Lawyers, Anytime AI™ is revolutionizing the legal practice by quadrupling case capacity and accelerating the delivery of justice.

LawBotica is an AI-powered platform that revolutionizes legal work by automating deposition summaries, crafting case timelines, offering comprehensive due diligence, document review, interactive chats, and collaborative workspaces. It transforms legal practice, turning months of work into minutes of efficiency. LawBotica empowers legal teams with AI-powered modules for document review, summarization, chat, repository management, and case assessment. It provides personalized solutions for legal practices, versatile deployment options, and a flexible API for custom integration.

Legal Assist AI is an industry-leading startup founded by James Bratton, offering cutting-edge, AI-driven services such as automated contract analysis, intelligent case management systems, and predictive analytics tailored for the legal profession. With a vision to transform the legal landscape, Legal Assist AI redefines efficiency and elevates the quality of legal services through innovative solutions.

Lexum.ai is an AI-powered legal research and summaries tool designed to assist legal professionals in conducting efficient and accurate legal research. The tool utilizes artificial intelligence algorithms to analyze and summarize legal documents, cases, and statutes, providing users with valuable insights and information. Lexum.ai aims to streamline the legal research process, saving time and improving the quality of research outcomes for legal practitioners.

Lexicore is an AI tool designed specifically for legal practices. It utilizes advanced artificial intelligence algorithms to streamline and enhance various legal processes. By leveraging natural language processing and machine learning techniques, Lexicore offers efficient solutions for legal professionals to improve their workflow and decision-making. With its user-friendly interface and powerful capabilities, Lexicore aims to revolutionize the legal industry by providing cutting-edge AI technology tailored to meet the unique needs of legal practitioners.

LexEdge is an AI-powered legal practice management solution that revolutionizes how legal professionals handle their responsibilities. It offers advanced features like case tracking, client communications, AI chatbot assistance, document automation, task management, and detailed reporting and analytics. LexEdge enhances productivity, accuracy, and client satisfaction by leveraging technologies such as AI, large language models (LLM), retrieval-augmented generation (RAG), fine-tuning, and custom model training. It caters to solo practitioners, small and large law firms, and corporate legal departments, providing tailored solutions to meet their unique needs.

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.

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.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

Lawyer LLaMA is a large language model that has been specifically trained on legal data, including Chinese laws, regulations, and case documents. It has been fine-tuned on a large dataset of legal questions and answers, enabling it to understand and respond to legal inquiries in a comprehensive and informative manner. Lawyer LLaMA is designed to assist legal professionals and individuals with a variety of law-related tasks, including: * **Legal research:** Quickly and efficiently search through vast amounts of legal information to find relevant laws, regulations, and case precedents. * **Legal analysis:** Analyze legal issues, identify potential legal risks, and provide insights on how to proceed. * **Document drafting:** Draft legal documents, such as contracts, pleadings, and legal opinions, with accuracy and precision. * **Legal advice:** Provide general legal advice and guidance on a wide range of legal matters, helping users understand their rights and options. Lawyer LLaMA is a powerful tool that can significantly enhance the efficiency and effectiveness of legal research, analysis, and decision-making. It is an invaluable resource for lawyers, paralegals, law students, and anyone else who needs to navigate the complexities of the legal system.

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.

MaxText is a high-performance, highly scalable, open-source LLM written in pure Python/Jax and targeting Google Cloud TPUs and GPUs for training and inference. MaxText achieves high MFUs and scales from single host to very large clusters while staying simple and "optimization-free" thanks to the power of Jax and the XLA compiler. MaxText aims to be a launching off point for ambitious LLM projects both in research and production. We encourage users to start by experimenting with MaxText out of the box and then fork and modify MaxText to meet their needs.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

CAMEL is an open-source library designed for the study of autonomous and communicative agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

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.

This repository maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

The neo is an open source robotics research platform powered by a OnePlus 3 smartphone and an STM32F205-based CAN interface board, housed in a 3d-printed casing with active cooling. It includes NEOS, a stripped down Android ROM, and offers a modern Linux environment for development. The platform leverages the high performance embedded processor and sensor capabilities of modern smartphones at a low cost. A detailed guide is available for easy construction, requiring online shopping and soldering skills. The total cost for building a neo is approximately $700.

MaxText is a high performance, highly scalable, open-source Large Language Model (LLM) written in pure Python/Jax targeting Google Cloud TPUs and GPUs for training and inference. It aims to be a launching off point for ambitious LLM projects in research and production, supporting TPUs and GPUs, models like Llama2, Mistral, and Gemma. MaxText provides specific instructions for getting started, runtime performance results, comparison to alternatives, and features like stack trace collection, ahead of time compilation for TPUs and GPUs, and automatic upload of logs to Vertex Tensorboard.

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.

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.

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.

This repository is a collection of papers focused on understanding the internal mechanism of large language models (LLM). It includes research on topics such as how LLMs handle multilingualism, learn in-context, and handle factual associations. The repository aims to provide insights into the inner workings of transformer-based language models through a curated list of papers and surveys.

Windows Agent Arena (WAA) is a scalable Windows AI agent platform designed for testing and benchmarking multi-modal, desktop AI agents. It provides researchers and developers with a reproducible and realistic Windows OS environment for AI research, enabling testing of agentic AI workflows across various tasks. WAA supports deploying agents at scale using Azure ML cloud infrastructure, allowing parallel running of multiple agents and delivering quick benchmark results for hundreds of tasks in minutes.

ebook2audiobook is a CPU/GPU converter tool that converts eBooks to audiobooks with chapters and metadata using tools like Calibre, ffmpeg, XTTSv2, and Fairseq. It supports voice cloning and a wide range of languages. The tool is designed to run on 4GB RAM and provides a new v2.0 Web GUI interface for user-friendly interaction. Users can convert eBooks to text format, split eBooks into chapters, and utilize high-quality text-to-speech functionalities. Supported languages include Arabic, Chinese, English, French, German, Hindi, and many more. The tool can be used for legal, non-DRM eBooks only and should be used responsibly in compliance with applicable laws.

Your virtual legal assistant for swift legal research and case management.

A legal research assistant for case discovery.

Legal Insight Analyst-Lia is an advanced AI companion designed to empower legal professionals with unparalleled support in the world of law. By leveraging cutting-edge technologies, Lia simplifies and enhances legal research, analysis, and decision-making processes.

Soy un profesor de derecho digital que busca acercar a los abogados al fascinante mundo de la tecnología.

Upload a court judgment and get back a collection of topical case digests based on the case. Oh - don't trust the "Topic 2210" or similar number, it's random. Also, probably best you not fully trust the output either. We're just playing with the GPT maker. More about us at Jurisage.com.

Simulates legal debates in a text-based GPT game.

Expert in AI legal research by Prof. Kiskinov, SJD

Ekspert za srpsko pravo i sudsku praksu.

En AI-assistent utvecklad av juridikstudenter med expertis inom svensk och EU-lagstiftning för att stödja juridiska yrkesverksamma, studenter och allmänheten.

Expert in Ontario law, offering bilingual legal analysis and practical guidance.

AI immigration law research assistant for case law updates and strategies.