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London, United Kingdom
1-10 Employees
2023
Legaltap delivers solutions co-developed with legal experts, ensuring a specialised focus on problem-solving and promising seamless integration into lawyers’ daily legal practice. Legaltap streamlines the most significant processes across the legal domain, meeting the distinct needs of each legal practitioner. Legaltap’s integrated platform enhances efficiency by tackling issues like time management, client communication, and regulatory compliance, aiding solicitors and legal executives in delivering quality service while balancing work-life demands. Legaltap also lets you save your research, annotate documents, and share findings easily with your client. Legaltap can streamline the workflow for barristers and pupils, by offering digital case management and interactive tools, it helps manage documentation, deadlines, and case preparation, ensuring nothing is missed. Legaltap’s technology can also aid in professional development and collaboration, crucial for ensuring a growing practice. Legaltap quickly organises the bundle into a clear timeline of events and documents. Legaltap also tracks your preparation progress, ensuring you’re fully prepared and confident for the courtroom.
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Featured
Say Hello To Your Legal AI Assistant
... AI-Powered Legal Search Engine – Legaltap (LT) ...
Cambridge, United Kingdom
1-10 Employees
We develop and research at the cutting edge of AI, utilizing our strong academic connections to bring the latest research to the quest for the best legal AI system. We are actively recruiting experienced LLM and Machine Learning engineers. We do not rely on external models: we are fully independent. Our AI team has published at the leading venues on Machine Learning (NeurIPS, ICML, ICLR, JMLR) and is at the forefront of the scientific quest for data-efficient, robust & general foundation models. Our AI systems are built with a data-centric approach, with data drawn from proprietary data sources and carefully reviewed by our legal team, constituting the highest quality legal dataset anywhere in AI. Our models feature out-of-distribution detection, uncertainty estimation, and agent-based roundtable discussions to provide accurate and explainable responses. Our team has world-leading experts in sparsity, model distillation, and quantization, ensuring our predictive models run at real-time speed and can serve thousands of requests. Safe Sign was founded in February 2022 by a world-leading team of tenured professors, AI scholars, award-winning lawyers, mathematicians, coders and influential business leaders.
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Featured
A revolution in Legal AI
... Legal AI start-up founded jointly in Cambridge, Oxford and Harvard Universities. Building the world's best Legal LLM to disrupt Legal AI and change the face of law. ...
Charlotte, United States
1-10 Employees
Leverage data science to illuminate the relationship between ad, lead, phone, accounting, and case data -- because half the story isn't enough! Push, pull, combine or transform data from disparate sources to create data lakes, dips, automations, or applications that drive profit. Improve your tools, teams, and processes with the help of our specialists in phone systems, client experience, intake, case management, finance, accountability, coaching, and more! Immersive design, ad campaigns, and PR initiatives that make impact. Leverage data science to illuminate the relationship between ad, lead, phone, accounting, and case data -- because half the story isn't enough!
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Featured
Eclipse Legal AI
... Eclipse Legal AI ...
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Featured
Module 5 :- Ethical and Legal Considerations in AI Eyecare
... Module 5 :- Ethical and Legal Considerations in AI Eyecare - Ocular ...
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Featured
Geldards LLP - UK Law Firm
... Legal Update: AI and Commercial Property: Are AI powered transactions the future? ...
Berlin, Germany
11-50 Employees
But no one ever reads them.Connect your policies to your AI assistant, and provide accurate responses to any question in seconds, direct to your teams. But none of the software built for lawyers helps clear this backlog.Count the number of repetitive requests that landed on your desk in the last month.
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Featured
Legal OS - The Future of Legal AI
... Legal OS - The Future of Legal AI ...
Elmbridge, United Kingdom
1-10 Employees
We provide absolutely best on the market AI Technology Software with System designed for small businesses which is automatically capturing, nourishing and closing leads into customers. We are a mission-based supreme client aquisition company, who works with small business owners and our service is provided along with our state of the art AI Software with unique system custom designed for each client. We are always here to guide, explain, coach and help. You may think that, doing your marketing in-house is the most cost effective thing to do for your business. But not just any clients, we are 100% ROI-driven so you only receive highly qualified leads.
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Featured
Legal Revenue AI Software
... Legal Revenue AI ...
Pune, India
51-100 Employees
2014
Axiom Market Research & Consulting™ is a full-service market research and data analytics company providing key market intelligence to global companies to take informed business decisions pertaining to their marketing strategy, investments, new product launches, market competition, consumer or end users, social media trends etc. Axiom Market Research & Consulting™ offers market research services such as syndicated market research, custom market research, business consulting, and consumer/end user surveys. Under Business to Consumer (B2C) market research offerings, Axiom MRC assists its clients in finding quantitative information/preferences of its brands and services such as, awareness, usages, satisfaction, tracking, ethnicity etc. Axiom MRC offers data collection services through online surveys, social media, data processing and interpretation. Axiom MRC with its experienced team of research and data analysts, has delivered more than 5000+ Market Research Projects, 3800+ Data Analytics Projects, 1200+ Business Support Projects and has a 800+ Global Client Base. Axiom Market Research & Consulting™ offers (B2B) market research reports such as syndicated market research reports, custom….
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Featured
Legal AI Software Market Report
... Legal AI Software Market Segmental ...
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Some interesting numbers and facts about the results you have just received for Legal AI
| Country with most fitting companies | United Kingdom |
| Amount of fitting manufacturers | 83 |
| Amount of suitable service providers | 75 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2014 |
| Youngest suiting company | 2023 |
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Legal AI refers to the application of artificial intelligence technologies, including machine learning, natural language processing, and data analytics, to automate and enhance various legal services and processes. It involves the development of algorithms and systems capable of performing tasks that typically require human legal expertise, such as document analysis, legal research, contract review, and prediction of legal outcomes. This technology aims to increase efficiency, accuracy, and accessibility within the legal field by reducing the time and resources needed for routine tasks, allowing legal professionals to focus on more complex and strategic aspects of their work. Furthermore, Legal AI has the potential to democratize legal services by making them more affordable and understandable to non-specialists, thus expanding access to justice. Its impact is significant, as it not only reshapes the landscape of the legal profession but also introduces new ethical and regulatory challenges that need to be addressed. As legal AI continues to evolve, its role in supporting and enhancing the capabilities of legal practitioners and institutions is increasingly becoming indispensable, marking a transformative shift in how legal services are delivered and consumed.
1. Efficiency in Document Analysis
Legal AI significantly reduces the time spent on reviewing and analyzing vast amounts of legal documents. By automating these processes, it allows lawyers to focus on more strategic aspects of their cases, enhancing productivity and accuracy in legal research.
2. Cost Reduction
Implementing AI in legal practices cuts down on the hours billed for manual document review and research, leading to substantial cost savings for both law firms and their clients. This makes legal services more accessible and affordable.
3. Error Reduction
AI systems minimize human errors by providing more consistent and accurate analysis of legal documents. Their ability to process information without fatigue or oversight ensures a higher quality of legal work.
4. Enhanced Legal Predictions
Legal AI can predict outcomes by analyzing previous case law and decisions, offering valuable insights into potential case results. This feature aids lawyers in making more informed decisions, strategizing effectively, and setting realistic expectations for their clients.
While evaluating the different suppliers make sure to check the following criteria:
1. Data Security and Compliance
Ensure the supplier adheres to international data protection regulations, such as GDPR, to safeguard sensitive legal information.
2. Integration Capabilities
The solution should easily integrate with existing legal and office software to streamline workflows and increase efficiency.
3. Scalability
Choose a supplier that offers scalable solutions to accommodate your growing needs without compromising performance or security.
4. Technical Support and Training
Opt for suppliers that provide robust technical support and training to facilitate smooth implementation and adoption of the technology.
5. AI Accuracy and Reliability
Evaluate the AI's ability to accurately analyze legal documents and predict outcomes based on historical data.
6. Customization Options
Consider suppliers that offer customization options to tailor the AI capabilities to your specific legal processes and needs.
7. Cost-effectiveness
Assess the total cost of ownership, including setup, subscription, and any additional fees, to ensure it aligns with your budget.
Legal AI tools are revolutionizing the way businesses approach contract management. By automating the review and analysis of contracts, these tools significantly reduce the time and resources required for legal teams to manage agreements. This efficiency is particularly beneficial in industries with high volumes of contracts, such as finance and real estate, where it ensures compliance and minimizes the risk of oversight. In the realm of compliance, Legal AI excels by keeping businesses abreast of regulatory changes. Industries such as healthcare and finance, where regulations frequently evolve, benefit immensely. These AI systems can scan through vast amounts of legal texts to identify relevant updates, ensuring that companies adapt their operations in accordance with the latest laws, thus mitigating risks associated with non-compliance. Another impactful use case is in litigation prediction and analysis. Legal AI leverages historical data to forecast litigation outcomes, aiding law firms and corporate legal departments in crafting more informed strategies. This predictive capability is invaluable for sectors like insurance and corporate law, where understanding potential legal challenges and outcomes can influence decision-making and financial planning. Lastly, Legal AI streamlines the due diligence process in mergers and acquisitions (M&A). By quickly analyzing large datasets, AI tools can uncover risks and opportunities that might otherwise go unnoticed. This application is crucial in the fast-paced world of M&A, where timely and accurate information can make or break a deal.
Legal AI, encompassing technologies designed to assist in legal services through artificial intelligence, currently sits at a TRL range between 4 to 6. This classification signifies that these technologies have graduated from basic validation in controlled environments to early-stage implementation in relevant environments. The reason for this specific TRL positioning primarily lies in the technical complexity and ethical considerations inherent in applying AI to the nuanced field of law. Although AI has demonstrated proficiency in parsing large volumes of legal documents and providing basic legal advice, its application in crafting intricate legal strategies or understanding the subtleties of human judgement in legal contexts is still in developmental stages. Technical challenges such as natural language processing accuracy, ethical AI use, and the integration of AI systems into existing legal frameworks without infringing on privacy or bias standards further contribute to its mid-range TRL. Additionally, the iterative process of training AI models on diverse legal systems and ensuring their adaptability to the rapidly evolving landscape of law requires substantial validation and refinement. This ongoing development and testing phase reflects the cautious approach necessary to responsibly integrate AI into a domain as critical as legal services, where the stakes include fairness, justice, and the rule of law.
In the Short-Term, we anticipate significant improvements in natural language processing (NLP) capabilities within Legal AI systems. These advancements will enable more accurate interpretation of legal documents and queries, enhancing the precision of legal research tools. Automation of routine tasks like document sorting and case summarization will become more refined, saving legal professionals considerable time and reducing human error. The Mid-Term phase is expected to see Legal AI technologies evolving to predict legal outcomes with higher accuracy. By analyzing vast datasets of legal precedents and outcomes, AI will provide lawyers with insights into probable case results, thereby informing strategy. Additionally, we foresee the integration of AI in contract management, offering advanced features like real-time risk assessment and automatic adjustment suggestions based on legal changes, further streamlining legal operations. In the Long-Term, Legal AI is poised to revolutionize client-lawyer interactions through the deployment of AI-powered legal advisors. These virtual advisors will be capable of providing preliminary legal consultation, powered by deep learning algorithms that draw from extensive legal databases. Moreover, the long-term future will likely witness the integration of AI in judicial decision-making processes, contributing to more data-driven and unbiased judgments, although this will raise ethical considerations that will need to be carefully navigated.
Some interesting questions that has been asked about the results you have just received for Legal AI
What are related technologies to Legal AI?
Based on our calculations related technologies to Legal AI are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Legal AI?
Which industries are mostly working on Legal AI?
The most represented industries which are working in Legal AI are Information Technology, Professional Services, Financial Services, Software, Science and Engineering
How does ensun find these Legal AI Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
