We support law firms in employment & benefits law through big data and data analytics. We help reduce risks and subjectivity in negotiations and trials through use of most advanced technologies and tools. Thanks to our data driven focus and methodology, companies can take more efficient decisions in resource management, dismissals, agreements negotiations, variable compensation models, frauds and damages. Moreover, we support law firms during trials as experts and we run efficiently production optimization before and after M&As.
LegalSifter reviews contracts in a minute or two using artificial intelligence and the advice of a client’s lawyers and leaders. Clients start by uploading draft contracts that they are negotiating, particularly those written on other party’s paper. Sifters – software trained to read text that learns over time – review the draft contract and identify important legal and business concepts that demand attention or are missing entirely. The Sifters trigger Help Text, in-context advice tailored to the client’s business and negotiation position.
Princeton Gavel uses artificial intelligence (AI) to discover the true value of legal cases, enabling attorneys to make optimal settlement decisions. In particular, Princeton Gavel’s software leverages natural language processing (NLP) and deep learning to process new cases, identify key legal issues, and produce a data-backed valuation of what a case is worth. The result is better decision making (maximizing settlements), improved intake processes (knowing which cases to take on) and increased intake efficiency (requiring less attorney time). It just doesn’t make sense to practice without it.
We are an independent research firm in Paris that works in the intersection of computational logic, category theory, and persistent topology applied to decision practices. Our approach comprises an efficient model to generate belief structure about differing cases that have 'uncertain' information. The direction accompanies a method for realizing a complex means to address various constraints that arise in discourse analysis related to law. This implies a strong connection with natural language processing and the determining of a graphical realization, in lieu of an algorithmic method for identifying semantic change.
Octimine, founded by former LMU Munich and Max Planck Institute researchers, is leading in the field of applying Natural Language Processing methods to patent data. We have deep knowledge about semantic and statistical algorithms and use them to learn machines understanding patent data. Combined with a very easy to use web interface, Octimine's user can do patent searches & analytics (including citation analysis, patent value & risk metrics) in a very smart way without any training needed. The flexible Freemium pricing models enable our user to use a basic version of the software for free before upgrading to more advanced paid versions.
Fast and Easy Compliance due diligence and Contract Management
Document Automation
Legal Insights is a Brazilian Startup, that uses A.I. and Big Data Analytics to help large companies reduce their cost of litigation. Our product can track the most relevant causes of litigations. And acting in the cause, our costumers can reduce the volume of Lawsuits, and costs related to legal issues management. Based on Data and A.I., we indicate when it is cheaper to propose a settlement rather than litigate and what is the optimal value for the specific Lawsuit. When there are larger returns in litigating, we help our customers choose the best Law Firms for each specific litigation. This is based on the supplier`s speciality, fees, win rate and judge profile.
RiverGlass, Inc. provides information collection and analysis solutions. The Company delivers information collection, data management and analysis software solutions to a list of fortune 1000 companies, to government agencies and commands in defense, intelligence and law enforcement as well as ediscovery and risk management applications to corporations and law firms. The Company's products include riverglass solutions for ediscovery; riverglass solutions for fusion centers; and it also offers custom solutions such as intelligent web monitor for monitoring meaningful internet information; intelligent enterprise search for monitoring meaningful unstructured internal data; and intelligent data connections for identifying and visualizing connections between entities.
Arbitrator Intelligence (AI) is a global, independent information aggregator that produces data analytics on arbitrators’ past decision making. AI systematically collects information from parties and attorneys through an anonymized, confidential online questionnaire called the Arbitrator Intelligence Questionnaire or AIQ. Arbitrator Intelligence then analyzes the information collected through the AIQ to produce “AI Reports,” which provide analysis of individual arbitrators’ track records in comparison with various relevant industry baselines and in comparison with other individual arbitrators’ track records. AI Reports provide parties with unique, highly valuable insights to enable them to make informed decisions in selecting the right arbitrators for their high-stakes international legal disputes.