Best AI tools for< Legal Technologist >

LawSites is a blog by Robert Ambrogi that covers legal technology and innovation. It provides insights into various legal tech startups, AI applications in the legal field, and advancements in legal practice. The blog features articles, news, and podcasts related to legal technology, legal practice, and legal ethics.

Artificial Lawyer is a platform dedicated to providing news and views on legal tech and artificial intelligence in the legal industry. The website covers a wide range of topics such as AI applications in legal work, legal education, eDiscovery, funding for AI assistants, and more. It aims to keep professionals updated on the latest developments and innovations in the intersection of law and technology.

SimplyConvert is an award-winning legal tech platform designed to streamline client intake processes, manage client relationships, and enhance case management for law firms. Founded by a mass tort lawyer and developed by legal specialists and programmers, SimplyConvert automates various aspects of the legal workflow, from client intake to case resolution, providing real-time analysis and insights. The platform offers features such as an automated client intake chatbot, a feature-rich CRM, referral management tools, client portal, reporting dashboard, and data management capabilities.

EvenUp is an AI-powered application that transforms medical documents and case files into AI-driven demand packages for injury lawyers. It helps lawyers save time, win more cases, and settle faster by leveraging millions of records and AI technology to craft interactive medical chronologies and demand packages. EvenUp is trusted by over 700 law firms and has facilitated over $500 million in claimed damages. The application is designed to streamline the process of preparing demands, providing accurate damage estimates, and improving negotiation outcomes for personal injury cases.

The website offers AI solutions for enterprises, focusing on cutting-edge technology and business acumen. They provide services from discovery and strategy to development and integration of custom AI solutions. The team consists of technologists, business experts, and product specialists who work closely with clients to optimize AI strategies for time, cost, and security. The application specializes in AI solutions for various business functions such as sales, marketing, operations, HR, finance, legal, risk, and IT. They emphasize an AI-first approach, co-creating roadmaps with clients to deliver impactful projects. The website also highlights their expertise in AI for IT, including code review, test generation, DevOps, monitoring, alerting, and security audits.

LegalOn Technologies is a global leader in AI contract review software, providing a platform that enables users to negotiate stronger contracts up to 85% faster. The application offers pre-built and custom AI playbooks, built by experienced attorneys, to ensure high-quality contract reviews. LegalOn's AI is anchored in attorney-written content and rigorously tested, providing accurate and up-to-date legal knowledge for reliable results. The platform is SOC 2 Type II certified, GDPR, and CCPA compliant, prioritizing security and privacy for user data.

The Library Innovation Lab at Harvard University is an AI tool that focuses on bringing library principles to technological frontiers. It is a forward-looking group working at the intersection of libraries, technology, and law. The lab aims to democratize open knowledge and explore the use of generative AIs in information access and law. They offer various projects like Caselaw Access Project, H2O, The Nuremberg Project, Perma.cc, Alterspace, and Time Capsule Encryption to achieve their goals.

Onit is an AI-enabled workflow automation platform for sophisticated, legal business processes. It helps corporate legal departments modernize their legal operations so that Legal runs like a business. Onit's platform connects teams with how they want to work today and tomorrow, enabling them to automate workflows, facilitate collaboration, and drive efficiency. It also empowers Legal teams with contextually relevant insights needed to make better, faster decisions and manage risks. Additionally, Onit leverages proven, innovative technologies to better support evolving legal operations teams today and in the future.

SpeedLegal is a technological startup that uses Machine Learning technology (specifically Deep Learning, LLMs and genAI) to highlight the terms and the key risks of any contract. We analyze your documents and send you a simplified report so you can make a more informed decision before signing your name on the dotted line.

Regula AI, now known as Paxton AI, is an AI tool designed to empower organizations in their compliance journey. It offers advanced AI capabilities to streamline compliance processes and enhance regulatory adherence. With a focus on automation and efficiency, Paxton AI helps businesses stay compliant with evolving regulations and mitigate risks effectively. By leveraging cutting-edge AI technologies, Paxton AI revolutionizes the compliance landscape, enabling users to navigate complex regulatory requirements with ease.

The AI PESTEL Analysis Generator is a powerful tool that helps organizations understand and evaluate external macro-environmental factors affecting their business operations. It uses AI technology to instantly generate a PESTEL Analysis based on the company's description, covering Political, Economic, Social, Technological, Environmental, and Legal factors. Users can edit the analysis and download it as an image, enabling strategic decision-making and planning for business success.

The Petrie-Flom Center at Harvard Law School is a leading center for the study of health law and policy. The Center's mission is to improve the health of the public through research, teaching, and advocacy. The Center's work focuses on a wide range of health law and policy issues, including access to care, the regulation of health care providers, and the ethical and legal implications of new health technologies.

Bridge Legal is a transformative AI-powered platform designed for legal professionals. It offers scalable, customizable services to adapt instantly to high-volume litigation needs. The platform optimizes every facet of the legal business, providing case insight, document analysis, record review acceleration, intelligent report analytics, and essential details summarization to streamline case preparations.

The Legal Wire is an AI-powered platform that provides the latest news, resources, and insights on legal technology, compliance, regulations, and artificial intelligence. It offers newsletters, AI hubs, and in-depth articles on various legal topics. The platform aims to keep legal professionals informed about the intersection of law and technology, including the impact of AI on the legal industry.

Legal Robot is a legal technology company that provides automated legal analysis and compliance tools. Its products include Contract Analytics, Legal Simplifier, and Compliance Tools. Contract Analytics automatically extracts key terms and finds problems with legal style, definitions, and risky language. Legal Simplifier translates legalese into plain language to improve comprehension and accessibility. Compliance Tools helps businesses manage GDPR and DMCA requests, monitor website legal terms, and more. Legal Robot's mission is to make legal analysis and compliance easier and more accessible for everyone.

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.

Legal AI Chat is an AI-based legal assistant designed to simplify legal tasks, save time, and reduce costs associated with legal interactions. It aims to complement rather than replace human users, offering a user-friendly tool for engaging with legal matters. The platform is powered by advanced AI technology to provide efficient and effective legal support.

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.

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.

Gideon Legal is an automated intake and document automation software designed to help law firms manage client journeys from contact to contract and intake to eSign. It uses bots, built-in integrations, and no-code technology to maximize revenue and streamline operations by automating client workflows.

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

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

Linly-Talker is an innovative digital human conversation system that integrates the latest artificial intelligence technologies, including Large Language Models (LLM) 🤖, Automatic Speech Recognition (ASR) 🎙️, Text-to-Speech (TTS) 🗣️, and voice cloning technology 🎤. This system offers an interactive web interface through the Gradio platform 🌐, allowing users to upload images 📷 and engage in personalized dialogues with AI 💬.

This repository contains sample applications showcasing the use of AWS Generative AI CDK Constructs to build solutions for document exploration, content generation, image description, and deploying various models on SageMaker. It also includes samples for deploying Amazon Bedrock Agents and automating contract compliance analysis. The samples cover a range of backend and frontend technologies such as TypeScript, Python, and React.

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, ...

The Conversational Azure OpenAI Accelerator is a tool designed to provide rapid, no-cost custom demos tailored to customer use cases, from internal HR/IT to external contact centers. It focuses on top use cases of GenAI conversation and summarization, plus live backend data integration. The tool automates conversations across voice and text channels, providing a valuable way to save money and improve customer and employee experience. By combining Azure OpenAI + Cognitive Search, users can efficiently deploy a ChatGPT experience using web pages, knowledge base articles, and data sources. The tool enables simultaneous deployment of conversational content to chatbots, IVR, voice assistants, and more in one click, eliminating the need for in-depth IT involvement. It leverages Microsoft's advanced AI technologies, resulting in a conversational experience that can converse in human-like dialogue, respond intelligently, and capture content for omni-channel unified analytics.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

This repository provides templates for software and digital work licenses that restrict usage in AI training datasets or AI technologies. It includes various license styles such as Apache, BSD, MIT, UPL, ISC, CC0, and MPL-2.0.

Azure OpenAI Service provides REST API access to OpenAI's powerful language models including GPT-3, Codex and Embeddings. Users can easily adapt models for content generation, summarization, semantic search, and natural language to code translation. The workshop covers basics, prompt engineering, common NLP tasks, generative tasks, conversational dialog, and learning methods. It guides users to build applications with PowerApp, query SQL data, create data pipelines, and work with proprietary datasets. Target audience includes Power Users, Software Engineers, Data Scientists, and AI architects and Managers.

The Azure Open AI Application Landing Zone Solution Accelerator aims to assist in setting up development and production environments for Generative AI solutions using Azure Open AI and Azure Services. It provides deployment templates for common Gen AI solution patterns and offers customization options. The solution accelerator also offers best practices for technology usage in various scenarios.

This sample shows how to build a serverless chat experience with Retrieval-Augmented Generation using LangChain.js and Azure. The application is hosted on Azure Static Web Apps and Azure Functions, with Azure Cosmos DB for MongoDB vCore as the vector database. You can use it as a starting point for building more complex AI applications.

The Microsoft AI for Earth program hosts geospatial data on Azure that is important to environmental sustainability and Earth science. This repo hosts documentation and demonstration notebooks for all the data that is managed by AI for Earth. It also serves as a "staging ground" for the Planetary Computer Data Catalog.

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.

x-crawl is a flexible Node.js AI-assisted crawler library that offers powerful AI assistance functions to make crawler work more efficient, intelligent, and convenient. It consists of a crawler API and various functions that can work normally even without relying on AI. The AI component is currently based on a large AI model provided by OpenAI, simplifying many tedious operations. The library supports crawling dynamic pages, static pages, interface data, and file data, with features like control page operations, device fingerprinting, asynchronous sync, interval crawling, failed retry handling, rotation proxy, priority queue, crawl information control, and TypeScript support.

I'll critique your legal tech ideas with my signature snark and design fittingly bad logos.

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.

Expert inventor with advanced research, simulation skills, and legal knowledge.

Information on legal matters

Meticulous Law School Hypo Analyzer

Your go-to source for Canadian legal frameworks, now with federal property insights!

Translates all legal doc sections into code with detailed comments.

Italian legal expert with precise answers.

Assists with drafting, clarifying, and reviewing legal documents.

I dive into the T&Cs so you don't have to! #CorporateWatchdog

Expert in business laws, focusing on the US and international jurisdictions.

了解交通法，咨询身边事

Legal scenario simulator for professionals, students, and enthusiasts.

Legal expert in reviewing influencer agreement (Powered by LegalNow, ai.legalnow.xyz)

Specialised assistant dedicated to providing in-depth knowledge and insights on Nigerian laws and legal matters.

Generates legal citations based on the Indigo Book rules

Expert in European Law, focuses on precise legal references.

Legal Expert in drafting and reviewing Agent Agreements (Powered by LegalNow https://legalnowai.com/)

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

General legal inquiries and clarifications.