Legal Research + Analytics systems are defined here as using some form of NLP and machine learning to provide an improved search and data understanding of legal matters, especially case law, as well as those systems that provide analytics, and/or predictive capabilities. This group also includes behaviour analysis systems that relate to litigation, such as judge and jury behaviour prediction.

The following companies listed here are as follows:

  • CaseMine
  • Casetext (partial listing provided by AL 100)
  • CourtQuant
  • Gavelytics
  • Intelllex
  • Justis
  • Lex Machina (LexisNexis)
  • Libryo
  • Loom Analytics
  • MikeLegal
  • Predictice
  • Premonition
  • ROSS Intelligence 
  • Skopos Labs
  • Voltaire

CaseMine

(A product owned by Gauge Data Solutions Pvt. Ltd.)

Core Product(s): CaseIQ

Main Technology:  Text Analytics, Machine Learning, and Information Retrieval

Key Use Cases: Case Brief analysis and research, legal document review, and keyword based search.

HQ: Noida, Uttar Pradesh, India.

Other Offices: Present in California

Total Staff (approx.): 50

Year of Founding: 2013

Development Stage (e.g. Beta, fully operational): Fully Operational (India and United States), Beta (United Kingdom)

CEO (or equiv): Aniruddha Yadav

CTO (or equiv): Ankur Goel

Target Market: Law Firms, Attorneys, Judges Pro Se Litigants, In-House Counsels etc.

Main Legal Jurisdictions in which you currently operate: India, United States, United Kingdom

Pricing Model(s):

India:

  • AI Package: 50,000 INR per annum
  • Basic Package: 20,000 INR per annum

United States: Freemium

  • AI Package: $ 149.99 per month
  • Basic Package: Free

United Kingdom: Beta Version

Software Configuration (e.g. cloud; on-site installation): Cloud Based

Security Standards (e.g. ISO Cert, or other):  256 bit SSL

Company Description and our core product’s key selling point:

CaseMine is a state of the art contextual information retrieval system for the legal domain that leverages the latest data science and AI technology to deliver to its adopters an immediate and significant competitive advantage. Given a certain legal scenario as input (usually in the form of a case brief or pleading),

CaseMine is able to map and retrieve, through a thorough real time algorithmic analysis of millions of legal documents, the exact legal arguments and authoritative precedents that have won cases previously. This mapping is made possible because our legal engine AI, CaseIQ understands how facts, the causes of action, questions of law and other legal principles present within the brief (or the uploaded legal document) interplay with each other to give a particular case its unique flavour and then prioritizes the retrieval of documents involving similar interplays.

Main contact email: hello@casemine.com

Twitter (or other social media):

Facebook Link: https://www.facebook.com/lawcasemine/

Twitter Handle: https://twitter.com/caseminelaw

LinkedIn Link: https://linkedin.com/company/casemine

Casetext (partial listing)

Core Product(s): CARA

Main Technology: NLP, ML

Key Use Cases: Legal research, legal analytics

HQ: San Francisco, CA, US

Other Offices: NA

Total Staff: NA

Year of Founding: NA

Development Stage: Fully operational

CEO: Jake Heller

CTO: Ryan Walker

Main external investors, if any: Union Square Ventures and others.

Target Market: Law firms, Corporate law departments

Main Legal Jurisdictions in which you currently operate: USA.

Reference Clients: NA

Pricing Model(s): NA

Software Configuration (e.g. cloud; on-site installation):   NA

Security Standards (e.g. ISO Cert, or other): NA

Company Description:

From the start, Casetext has focused on eliminating inefficiencies in legal research. As a litigator, Casetext founder Jake Heller experienced firsthand the frustrations of expensive, outdated, and inefficient legal research tools. And as an engineer, Jake understood that applying modern technology could provide a true competitive edge for law firms.

Jake teamed up with Stanford CodeX fellow Pablo Arredondo, who was focused on new approaches to legal research such as Casetext’s AI-backed legal research technology, CARA A.I. With the help of other former litigators working hand-in-hand with data scientists and engineers, Jake and Pablo began building the solutions they wished they had as litigators.

Casetext has since become one of the leading sources of legal information. One million people access Casetext’s legal library each month, and thousands of attorneys at firms big and small rely on Casetext award-winning contextual search to help them get the answers they need fast so they can spend more time on higher-value work. [ Information from public profile. ]

Main contact email: contact@casetext.com

CourtQuant

Core Product(s): Legal Analytics Platform

Main Technology: Deep-learning based structuring of court data and analysis

Key Use Cases: Outcome predictions, lawyer selection and litigation background checks for litigation funders, ATE/BTE/LEI insurance, general underwriting, claims handling, professional indemnity insurance, law firms and end users.

HQ: London, UK

Other Offices: Bratislava, Slovakia

Total Staff (approx.): 5

Year of Founding: 2018

Development Stage (e.g. Beta, fully operational): Fully operational

CEO (or equiv): Jozef Maruscak, LLB Cantab

CTO (or equiv): Ludwig Bull, LLB Cantab

Main external investors, if any: NA

Target Market: litigation funders, ATE/BTE/LEI insurers, underwriters, claims handlers, law firms, individual users and businesses

Main Legal Jurisdictions in which you currently operate: US, UK, Slovakia

Reference Clients (optional): NA

Pricing Model(s): License-based subscription

Software Configuration (e.g. cloud; on-site installation): Cloud

Security Standards (e.g. ISO Cert, or other): Military grade

Company Description:

CourtQuant is an AI startup based in London, growing out of a research project at the University of Cambridge. We predict litigation outcomes with high accuracy, analyse lawyers and select the best ones for individual cases and supply our clients with the litigation history of anyone who has ever appeared in court in the US and the UK.

What is your core product’s key selling point?

Our outcome predictions for litigation have the highest accuracy in the world and we have unparalleled coverage of UK courts.

Main contact email: ceo@courtquant.com

Twitter (or other social media): https://www.linkedin.com/company/courtquant/

Gavelytics

Core Product(s): Judicial analytics software platform for litigators that provides never-before-available insights into what judges do, and why

Main Technology: NLP, ML, deep learning, neural nets, guided ML

Key Use Cases: the quantitative study of judicial behaviour for purposes of (1) improving pitches for business, (2) litigation strategy planning, (3) CCP 170.6 filings, (4) improving motion practice tactics and strategy, and (5) improving client communications and managing expectations.

HQ: Los Angeles, CA

Other Offices: N/A

Total Staff (approx.): 18

Year of Founding: 2015

Development Stage (e.g. Beta, fully operational): Fully operational, with expansion outside of California in late 2018 and beyond.

CEO (or equiv): Rick Merrill

CTO (or equiv): Juan Carlos Moreno

Main external investors, if any: Notable Los Angeles-based private investors

Target Market: Law firms, corporate legal departments, insurance companies

Main Legal Jurisdictions in which you currently operate: California, with expansion into other states in 2018 and beyond.

Reference Clients: Bobby Schwartz at Irell & Manella, Aaron Colby at Davis Wright Tremaine, Martin Korn at Sheppard Mullin

Pricing Model(s):  subscription based with different tiers for different business sizes

Software Configuration (e.g. cloud; on-site installation):    Cloud

Security Standards (e.g. ISO Cert, or other): NA

Company Description: Founded by litigators, for litigators, Gavelytics exists solely to provide the modern litigator with never-before-available insights into what judges do, and why.

What is your core product’s key selling point?

Jurisdictional scope, California law-specific features, ease of use, affordability.

Main contact email: info@gavelytics.com (general inquiries),

justin@gavelytics.com (sales inquiries), Rick@gavelytics.com (business inquiries)

INTELLLEX

Core Product(s): SOURCE, a contextual search engine for external resources, such as judgments, commentaries or legislation and STACKS, a law firm’s dynamic knowledge library with auto-categorisation capabilities.

Main Technology: ML, NLP

Key Use Cases: knowledge management

HQ: Singapore

Other Offices: Barclays Eagle Lab Notting Hill Gate, London, UK.

Total Staff (approx.): 15

Year of Founding: 2015

Development Stage (e.g. Beta, fully operational): Fully operational

CEO (or equiv): Chang Zi Qian

CTO (or equiv): Sim Yan Chuan

Main external investors, if any: NA

Target Market: Law Firms and General Counsels

Main Legal Jurisdictions in which you currently operate: Singapore, UK, Hong Kong and Australia

Reference Clients: NA

Pricing Model(s): Annual subscription and project-based pricing

Software Configuration (e.g. cloud; on-site installation): Cloud

Security Standards (e.g. ISO Cert, or other):

– At rest, your data is protected by At-Rest AES-256 encryption.
– While in transit, your data is protected by 256-bit TLS v1.2 encryption (current as of Aug 2018). TLS is an updated, more secure, version of SSL certificate.
– We are working towards an ISO 27001 certification.

Company Description:

INTELLLEX develops technology which assists lawyers in building up a knowledge library from their work. INTELLLEX extracts information from and automatically organises lawyers’ documents, and helps lawyers to retrieve answers to questions. INTELLLEX’s AI is trained to recognise legal concepts and is built upon a comprehensive legal ontology.

Lawyers can make use of INTELLLEX to find the most appropriate documents from their own internal library and/or from publicly available sources. INTELLLEX hopes to help lawyers improve their productivity through organisation and provide insight through retrieval, for the purpose of improving their efficiency and quality of work.

At INTELLLEX, lawyers work closely with data scientists and AI engineers to ensure that unstructured legal data is processed in meaningful ways. The latest machine learning and natural language processing technologies are customised to best serve the legal industry. INTELLLEX prides itself in delivering software solutions which are fast, reliable and easy to use.

What is your core product’s key selling point?

Our core product, INTELLLEX ENTERPRISE, currently consists of two integrated knowledge management and research tools, SOURCE and STACKS.

SOURCE is a search engine for external documents, such as judgments, commentaries or legislation hosted on the internet. Our search understands legal queries asked in natural language and work with our ranking algorithms to point lawyers to the most pertinent answers to their questions, bypassing inefficiencies commonly confronted with traditional keyword search.

STACKS is the lawyer’s knowledge library. It consolidates and intelligently organises knowledge output by document types (e.g. submissions, legal advice, etc.) and legal concepts (e.g. defamation, director’s duty, etc.). This taxonomy is based on a proprietary ontology, and is also customisable according to a firm’s areas of specialisation. Once assembled, our AI works in the background to learn the preferences of our client in order to suggest results tailored to their needs.

Main contact email: contact@intelllex.com

Twitter (or other social media): https://twitter.com/intelllexhq

Facebook: https://www.facebook.com/intelllex/

LinkedIn: https://www.linkedin.com/company/intelllex/

Justis

Core Product(s):  Case law, legislation, EU law and an intelligent legal research platform

Main Technology: Machine learning

Key Use Cases: Legal research

HQ: Camden, London, UK.

Other Offices: NA

Total Staff (approx.): 30+

Year of Founding: 1986

Development Stage (e.g. Beta, fully operational): Fully operational

CEO (or equiv): Masoud Gerami

CTO (or equiv): Dean Pendley

Main external investors, if any: NA

Target Market: International law firms, Government departments, Lawyers, Barristers, Solicitors, In-House, Public companies, Universities and colleges.

Main Legal Jurisdictions in which you currently operate: United Kingdom, Ireland, the Caribbean, Australia, Canada, New Zealand, USA, and Singapore.

Reference Clients: NA

Pricing Model(s): From £700 per annum, excluding VAT.

Software Configuration (e.g. cloud; on-site installation):  Online (SAAS)

Security Standards (e.g. ISO Cert, or other): NA

Company Description:

Justis gives you access to the most comprehensive collection of common law cases from 1163 and an extensive collection of legislation from 1235. Using our intelligent legal research platform, JustisOne, you can view the most cited parts of a case in seconds, find binding or persuasive cases from other jurisdictions quickly, and determine current and good law using data visualisation.

For over 30 years Justis products and services have been trusted by government organisations, leading international law firms, educational institutions, public companies, and sole practitioners from over 40 countries. This includes over 54,000 legal professionals and 95,000 educational users from over 185 top law schools.

What is your core product’s key selling point?

  • Cases from 25 common law jurisdictions
  • Search over 1,200,000 cases on JustisOne
  • Search over 700,000 legislative provisions on JustisOne

Main contact email: hello@justis.com

Twitter (or other social media): @Justis_london

Lex Machina (LexisNexis)

Core Product(s): Legal Analytics Platform

Main Technology: NLP, Machine Learning, Analytics

Key Use Cases: litigation strategy, counsel selection, case assessment, lateral hiring

HQ: Menlo Park, CA

Other Offices:

Total Staff: 95

Year of Founding: 2008

Development Stage: Acquired/Fully operational

CEO: Karl Harris

Chairman: Josh Becker

Main external investors, if any: Lex Machina is wholly owned by LexisNexis

Target Market: Law firms, Corporate law departments

Main Legal Jurisdictions in which you currently operate: We are working on federal and select state litigation data. Our product is currently available for these practice areas: Antitrust, bankruptcy, commercial, copyright, employment, insurance, patent, product liability, securities, trademark, trade secret, Delaware Chancery Court

Reference Clients: happy to provide references upon request

Pricing Model(s): Pricing is based on the size of the legal department or practice

Software Configuration (e.g. cloud; on-site installation):    SaaS model via URL login

Security Standards (e.g. ISO Cert, or other): Lex Machina’s platform is hosted on the Google Cloud Platform, which uses the same security model as well-known Google applications like Search, Gmail, and Apps. For more details see https://cloud.google.com/security.

Company Description:

Based in Silicon Valley, Lex Machina is part of LexisNexis, a leading information provider and a pioneer in delivering trusted legal content and insights through innovative research and productivity solutions, supporting the needs of legal professionals at every step of their workflow. By harnessing the power of Big Data, LexisNexis provides legal professionals with essential information and insights derived from an unmatched collection of legal and news content—fuelling productivity, confidence, and better outcomes.

What is your core product’s key selling point?

Lex Machina’s award-winning Legal Analytics® platform is a new category of legal technology that fundamentally changes how companies and law firms compete in the business and practice of law. Delivered as Software-as a-Service, Lex Machina provides strategic insights on judges, lawyers, parties, and more, mined from millions of pages of legal information. This allows law firms and companies to predict the behaviors and outcomes that different legal strategies will produce, enabling them to win cases and close business.

Legal Analytics was named ‘Best Legal Analytics’ by readers of The Recorder in 2014, 2015 and 2016, and received the “Best New Product of the Year” award in 2015 from the American Association of Law Libraries. The company was named Legal A.I. Leader by The National Law Journal in 2018.

Main contact email: janice@plat4orm.com

Twitter: https://twitter.com/lexmachina

LinkedIn: https://www.linkedin.com/company/lex-machina

Libryo Ltd

Core Product(s): Libryo Platform, Libryo Turks

Main Technology:

Bespoke augmentation and automation technologies for legal knowledge base creation and application.

Key Use Case:

Legal compliance and regulatory updating.

HQ: London, UK

Other Offices: Cape Town and remote global workforce

Total Staff (approx.): 21 plus a growing number of Libryo Turks (gig workers).

Year of Founding: 2016

Development Stage (e.g. Beta, fully operational): Fully operational

CEO (or equiv): Peter Flynn

CTO (or equiv): Samuel Cloete

Main external investors, if any:

Seedcamp, Nextlaw Ventures, Innogy Innovation, Force Over Mass

Target Market:

Compliance officers, Risk Managers, EHS Managers, General Counsel

Main Legal Jurisdictions in which you currently operate:

50 jurisdictions including the UK, Australia, Germany, India, South Africa and many SSA countries.

Reference Clients:

Clients: over 130 enterprise customers (available on request)

Pricing Model(s):

Annual subscriptions, based on the number of:

  • a customer’s operational units which each have distinct set of legal requirements,
  • legal jurisdictions and
  • legal domains required.

Software Configuration (e.g. cloud; on-site installation):   Cloud.

Security Standards (e.g. ISO Cert, or other):

En route to ISO 27001:2015 and ISO 9001:2015.

Company Description:

Libryo is an automated legal librarian, which increases the accuracy and efficiency in knowing applicable compliance regulations across multiple jurisdictions. The online platform frees users, whether risk and compliance managers or domain managers for domains like EHS or data protection, to know simply what regulation requires of them in any situation. Its context specific ‘Libryos’ enable up to date understanding of the specific regulatory obligations which are faced per operational context, for any topic.

Users stay abreast of relevant legal updates through Libryo notifications and relevant regulatory information may be integrated with enterprise risk management systems through the Libryo API. Leading regulatory lawyers recommend Libryo to their corporate clients and provide advisory services on the back of their clients’ use of the Libryo Platform.

What is your core product’s key selling point?

Operation specific regulatory requirements that are useable by non-lawyers and lawyers alike.

Main contact email: info@libryo.com

Twitter (or other social media):

@libryolegal

https://www.linkedin.com/company/libryo/

Loom Analytics

Core Product(s): Court Analytics

Main Technology: Data analytics

Key Use CasesL litigation strategy and research, business intelligence

HQ: Toronto, Canada

Other Offices: New Delhi, India

Total Staff (approx.): 5

Year of Founding: 2015

Development Stage (e.g. Beta, fully operational): Fully operational with commercial product available since 2016

CEO (or equiv): Mona Datt

CTO (or equiv): NA

Main external investors, if any: NA

Target Market: Law firms (both lawyers and non-lawyers), insurance and corporate general counsel

Main Legal Jurisdictions in which you currently operate: Canada

Reference Clients: NA

Pricing Model(s): Monthly/ Annual subscription, Per Matter, Per 15 minute time increments. Different models for different market segments

Software Configuration (e.g. cloud; on-site installation):  Cloud based SaaS web app with mobile app complement

Security Standards (e.g. ISO Cert, or other): SSL in transit

Company Description:

Loom Analytics provides data analytics tools for the legal and insurance industries.  It structures public and private dark data, and provides a visual representation of the resulting patterns to drive future decision making based on historical trends.

What is your core product’s key selling point?

Loom’s Court Analytics platform aggregates and provides analytics on judicial trends in the Canadian courts and tribunals, providing the ability for strategic and informed decision making.

Main contact email: mona@loomanalytics.com

Twitter (or other social media):  https://twitter.com/loomanalytics

MikeLegal Services Private Limited

Core Product(s): Mike Litigator (Case law research platform), MikeTM Suite (MikeTM Search, MikeTM Watch and MikeTM Manager)

Main Technology: NLP, Deep Learning

Key Use Cases: Legal research, public search before filing of trademark, watching weekly trademark journal for potential infringements, auto-updates of any changes in the trademark portfolio

HQ: Gurgaon, India

Other Offices: None

Total Staff (approx.): 7

Year of Founding: 2017

Development Stage (e.g. Beta, fully operational): Fully operational

CEO (or equiv): Anshul Gupta

CTO (or equiv): Ankit Yadav

Main external investors, if any: NA

Target Market: Law firms and General Counsels

Main Legal Jurisdictions in which you currently operate: India

Reference Clients: Hero MotoCorp, Altacit Global, Wockhardt

Pricing Model(s): Subscription based pricing

Software Configuration (e.g. cloud; on-site installation): Cloud

Security Standards (e.g. ISO Cert, or other):  SSL Certification

Company Description:

MikeLegal is Asia’s first Artificially Intelligent legal associate. MikeLegal is currently focused on IP domain with the mandate to significantly ease and eliminate the effort currently required to manage Intellectual Property related tasks specifically Legal Research (MikeLitigator), Trade Mark Search (MikeTM Search) and Trademark Watch (MikeTM Watch). MikeLegal has and maintains a full repository of all legal cases and trademarks which are kept current in real time. The products are intuitive and require no specific user training and can be in use within an hour for use! MikeLegal works on SaaS model.

What is your core product’s key selling point?

MikeLegal’s key selling point is first the AI that is being used on the data allowing customers to analyse and obtain data which previously would take weeks and many times would miss out on valuable data. Moreover the user experience that MikeLegal is able to provide allow it to be a complete, holistic solution allowing it to provide a better product than the competitors

Main contact email: team@mikelegal.com

Twitter (or other social media): http://linkedin.com/company/mikelegal

Predictice SAS

Core Product(s): Predictice

Main Technology: NLP/ML

Key Use Cases: legal research, legal analytics

HQ: Paris, France

Other Offices: NA

Total Staff (approx.): 15

Year of Founding: 2016

Development Stage (e.g. Beta, fully operational): fully operational

Founders : Thomas Baduel, Alexandre Chéronnet, Louis Larret-Chahine

Main external investors, if any: NA

Target Market: law firms, in-house counsel, insurance companies

Main Legal Jurisdictions in which you currently operate : French jurisdictions

Reference Clients: + 300 paying customers

Pricing Model(s):

159 euros per user/month

Software Configuration (e.g. cloud; on-site installation):    cloud

Security Standards (e.g. ISO Cert, or other): NA

Company Description:

Predictice is a legal research and analysis platform that leverage technology (machine learning, NLP) for the performance of legal professionals. The solution provides access to millions of case law, calculates the probabilities of resolution of a dispute or the amount of compensation and identifies the most important grounds.

What is your core product’s key selling point?

An increasing number of lawyers throughout France consider the analysis reports extracted from Predictice as a complementary service. Predictice is therefore not only perceived as an extremely efficient search engine, but also as a source of profitability and customer loyalty for the firm.

Main contact email: contact@predictice.com

Twitter : https://twitter.com/predictice

Linkedin : https://www.linkedin.com/company/predictice/?originalSubdomain=fr

Premonition LLC

Core Product(s):  ‘Premonition is the World’s largest Litigation Database. It is the World’s largest legal analytics platform.’

Main Technology :The World’s Largest Litigation Database. The World’s Largest Legal Analytics System.

Key Use Cases: Performance statistics for judges, lawyers, law firms, barristers, companies, industries, etc. Global Litigation search and data feed. Risk and underwriting analysis, real time risk monitoring

HQ:  Miami, FL

Other Offices: Ireland, United Kingdom, India, Australia

Total Staff (approx.): 86

Year of Founding: 2014

Development Stage (e.g. Beta, fully operational): Fully Operational

CEO & Co-Founder: Guy Kurlandski

CIO & Co-founder: Toby Unwin

Main external investors, if any: Family Office

Target Market: Claims Managers, Lawyers, Law Enforcement, General Counsel, Risk Managers, Law Firms

Main Legal Jurisdictions in which you currently operate: United States, United Kingdom, Ireland, Netherlands, Brazil, India, Australia, New Zealand.

Reference Clients: NA

Pricing Model(s): We offer system subscriptions, reports, consulting, raw data.

Software Configuration (e.g. cloud; on-site installation): Cloud, API or Integration with existing systems.

Security Standards (e.g. ISO Cert, or other): N/A

Company Description:

Premonition is driving the innovations that make headlines in fields as diverse as legal services, insurance, and healthcare.

In just a few short years, Premonition has built the world’s largest litigation database, bigger than all our competitors combined. Our predictive analytics are consulted by decision-makers at Fortune 500 companies, global law firms, leading academic institutions and non-profits that improve the lives of millions in the developing world.

We tell you which lawyers win actual cases, when to settle and when to press your advantage.

This is perception/reality arbitrage.

What is your core product’s key selling point?

Premonition, the World’s largest litigation database.

Premonition knows which Lawyers win before which Judges. It is a very, very unfair advantage in litigation.

Main contact email: info@premonition.ai

Twitter (or other social media): @Premonition_AI

LinkedIn: https://www.linkedin.com/company/premonition-analytics/

ROSS Intelligence

Core Product(s):  ROSS

Main Technology: AI, ML, NLP, IR

Key Use Cases: Legal Research

HQ: San Francisco, USA

Other Offices: Toronto, USA

Total Staff (approx.): 60

Year of Founding: 2015

Development Stage (e.g. Beta, fully operational): Fully Operational

CEO (or equiv): Andrew Arruda

CTO (or equiv): Jimoh Ovbiagele

Main external investors, if any:

iNovia Capital, Comcast Ventures Catalyst Fund, Y Combinator Continuity Fund, Real Ventures, Dentons’ NextLaw Labs and angels

Target Market: Law Firms

Main Legal Jurisdictions in which you currently operate: All United States Legal Research

Reference Clients (optional): Jackson Lewis (https://rossintelligence.com/jackson-lewis-with-ross-intelligence/, https://rossintelligence.com/jackson-lewis-ahead-ai/)

Pricing Model(s):

–           Per user

Software Configuration (e.g. cloud; on-site installation):

–           cloud

Security Standards (e.g. ISO Cert, or other):

We use industry leading cloud providers that are trusted by corporations around the world.

Company Description :

ROSS Intelligence builds artificially intelligent tools to enhance lawyers’ abilities – allowing them to do more than ever before humanly possible.

What is your core product’s key selling point?

ROSS is an Artificial Intelligence (AI) system designed to improve the efficiency, accuracy and profitability of legal research. Firms using ROSS have reported a 30% reduction in research time, 40% more relevant authorities translating to an ROI of 177% to 545% off of core search alone.

Main contact email: thomas.m@rossintelligence.com

Twitter (or other social media):

–           https://twitter.com/ROSSIntel

–           https://www.linkedin.com/company/ross-inc/

–           https://www.facebook.com/rossintelligence/

Skopos Labs, Inc.

Core Product(s): User Interface research platform

Main Technology: NLP/ML

Key Use Cases: Predict policy impacts on companies and industries

HQ: New York, NY

Other Offices: NA

Total Staff (approx.): 7

Year of Founding: 2016

Development Stage: Fully operational

CEO (or equiv): John Nay

CTO (or equiv): John Nay

Main external investors, if any: Thomson Reuters, Saltwater Capital (firm founded and run by Uber Board Director Ryan Graves)

Target Market: General counsel, law firms, and corporate strategy.

Main Legal Jurisdictions in which you currently operate:  U.S.

Reference Clients: NA

Pricing Model(s):

Pricing depends on size of firm/company, number of users, industry coverage, and more.

Software Configuration (e.g. cloud; on-site installation): Web-based UI

Security Standards (e.g. ISO Cert, or other): NA

Company Description:

Skopos Labs, a team of computer scientists, data scientists, former Capitol Hill staff, and former partners at large law firms, has built an A.I.-powered research platform that analyzes massive amounts of unstructured data to provide real-time forecasts of government, policy and legal risks for every public company. Before Skopos, there was no systematic approach to predicting government and legal activity and linking it to future impacts on specific companies. Skopos customers anticipate law and policy impacts on companies and industries before they occur.

What is your core product’s key selling point?

Gain a deep understanding of a company’s business, risk profile, and legal and policy interests.

Main contact email: elizabeth@skoposlabs.com

Twitter (or other social media): @skoposlabs Twitter

Voltaire, Inc

Core Product(s):  Voltaire Voir Dire

Main Technology: NLP (IBM Watson and Proprietary Linguistics Models based on Neural Networks), ML (Tensor-based preference detection algorithm & classifier, Neural Network based image recognition & classifier)

Key Use Cases:  Jury & witness background research for voir dire. Single search background reports for law firms on case related individuals.

HQ: Telluride, CO, USA

Other Offices:

Total Staff (approx.): 10

Year of Founding: 2014

Development Stage (e.g. Beta, fully operational): Fully Operational

CEO (or equiv): Basit Mustafa

CTO (or equiv): Basit Mustafa

Main external investors, if any: NA

Target Market: Litigation attorneys & paralegals, trial consultants

Main Legal Jurisdictions in which you currently operate: United States

Reference Clients: NA

Pricing Model(s): (Single trial licenses & discount bundles (voir dire). Subscription pricing for single search application.

Software Configuration (e.g. cloud; on-site installation): Web-based. Cloud.

Security Standards (e.g. ISO Cert, or other):  Voltaire operates on and stores & shares data through exclusively ISO 27001 and SOC2 certified providers. All data encryption is handled in transit and at rest to at least ISO 27001 and SOC2.

Company Description:

Voltaire analyses a wealth of public & social data on prospective jurors and witnesses. Our software uncovers hidden bias and risk factors using predictive analytics of character and behavioural traits. We combine this data with patent pending AI to bring your team a new level of insight. Voltaire saves valuable time and money on jury research and enables your trial team to develop a winning questioning and communication strategy, giving you a head start and an advantage in court.

What is your core product’s key selling point?

The ability to get a comprehensive overview, with analysis and insight, into an individual’s background in real time. Reports are fast, easy to read and concise.

Main contact email: Mike Miceli, CMO

mike@voltaireapp.com

Twitter (or other social media): https://twitter.com/voltaireapp

https://www.facebook.com/VoltaireApp/


[ More companies will be added to this category. ]