Advance Market Analytics published a new research publication on “LegalTech Artificial Intelligence Market Insights, to 2027” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the LegalTech Artificial Intelligence market was mainly driven by the increasing R&D spending across the world.
Some of the key players profiled in the study are:
ROSS Intelligence, Inc. (United States), Legalmation (United States), Casetext Inc. (United States), LawGeex (United States), LexisNexis (United States), eBREVIA (United States), LegalSifter, Inc. (United States), Luminance Technologies Ltd. (United Kingdom), Kira Inc. (Canada), Blue J Legal Inc. (Canada).
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Market Trends:
Introduction of Blockchain Technology in the Law Sector
Growing Digitization and Increasing Use of Cloud
Artificial intelligence is increasingly transforming industries, including law practice. Companies that use technology for the legal sector are known as LegalTech companies. They provide software and services to the legal sector, businesses, corporations, and consumers. AI in legal practices is gaining popularity due to increased accuracy and efficiency in legal records keeping with low cost. With the help of Artificial Intelligence, Law firms can review contracts in less time, without compromising on quality. The United States market for LegalTech Artificial Intelligence is expected to rise with the growing number of mergers and acquisitions in the LegalTech industry and significant investments in AI-related technologies in the region. According to the ABAâ€s 2020 Legal Technology Survey Report, Artificial intelligence-based tools continue to be used by only a very small percentage of law firms.
The titled segments and sub-section of the market are illuminated below:
by Application (Legal Analytics, Legal Research, E-discovery, Contract Management, E-Billing, Prediction Technology, Others (IP-Management, Cyber Security, Document Automation)), Pricing (Monthly Subscription, Annually Subscription), Component (Software, Services), End User (Lawyers, Clients, Law Firms)
Opportunities:
Increasing Adoption of AI Technology in Government Agencies and Private Law Firms
Huge Opportunities for Start-ups and New Market Entrants
Market Drivers:
Growing Demand for AI-based Solution in the Legal Sector
Increased Efficiency with Fewer Chances of Error by AI Enabled System
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
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On April 23, 2018, LegalMation, developer of a revolutionary A.I. platform, has announced that Ogletree Deakins, a leading labor and employment law firm, will utilize LegalMation’s innovative technology on certain litigation matters.
Points Covered in Table of Content of Global LegalTech Artificial Intelligence Market:
Chapter 01 – LegalTech Artificial Intelligence Executive Summary
Chapter 02 – Market Overview
Chapter 03 – Key Success Factors
Chapter 04 – Covid-19 Crisis Analysis on Global LegalTech Artificial Intelligence Market
Chapter 05 – Global LegalTech Artificial Intelligence Market – Pricing Analysis
Chapter 06 – Global LegalTech Artificial Intelligence Market Background
Chapter 07 — Global LegalTech Artificial Intelligence Market Segmentation
Chapter 08 – Key and Emerging Countries Analysis in Global LegalTech Artificial Intelligence Market
Chapter 09 – Global LegalTech Artificial Intelligence Market Structure Analysis
Chapter 10 – Global LegalTech Artificial Intelligence Market Competitive Analysis
Chapter 11 – Assumptions and Acronyms
Chapter 12 – Research Methodology
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