(The following companies in bold below are listed in alphabetical order here. Companies A to K are listed on the previous page.)
- ANVI Legal
- Appriori
- Ayfie Group
- Casepoint
- ContractPodAi
- Diligen
- eBrevia (Note: Merged with Donnelley Financial, Dec 2018 – see news)
- Eigen Technologies
- Elevate (CAEL)
- Heretik
- JuriBlox
- iManage (other applications, see listing)
- Kira Systems (now part of Litera)
- LawGeex
- Legal Sifter
- Leverton (now part of MRI)
- LexPredict (Note: Merged with Elevate, Nov 2018 – see news and AL 100 link)
- LinkSquares
- Luminance
- PrivacyPolicyCheck
- Seal Software (now part of DocuSign)
- Summize
- ThoughtRiver
- VaultEdge
LawGeex
Core Product(s): LawGeex
Main Technology : Machine Learning
Key Use Cases : Contract Review automation
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HQ: Tel Aviv
Other Offices: New York
Total Staff (approx.): 50
Year of Founding: 2014
Development Stage : Fully operational
CEO : Noory Bechor
CTO : Ilan Admon
Main external investors, if any:
Aleph VC, Recruit Holdings, Lool Ventures
Target Market : In-House Counsel, General Counsel and Law Departments
Main Legal Jurisdictions in which you currently operate: United States, UK, Europe, Australia and New Zealand
Reference Clients :
Some ready case studies: https://www.lawgeex.com/case_study_brandwatch/
https://www.lawgeex.com/case_study_commChamps/
Pricing Model(s):
SaaS annual subscription; cost based on number of contracts
Software Configuration (e.g. cloud; on-site installation): Cloud
Security Standards (e.g. ISO Cert, or other):
Our platform and infrastructure are ISO/IEC 27001 certified. All data is fully encrypted, both in transit and at rest, ensuring enterprise-grade levels of privacy and security for all our customers.
Company Description :
LawGeex is transforming legal operations. The LawGeex Artificial Intelligence solution helps in-house legal teams automate the review and approval of everyday contracts.
Founded in 2014 by international lawyer Noory Bechor and leading AI expert Ilan Admon, LawGeex enables businesses to remove the contract bottleneck, helping them focus on high value tasks instead of getting lost in paperwork.
LawGeex ensures the simple question ‘Can I sign this?’ doesn’t slow down businesses, while improving accuracy, consistency and efficiency. Suitable for legal teams of any size, LawGeex has customers in over 15 countries, including eBay, Farmers Insurance, Natixis and Lifetime Fitness.
What is your core product’s key selling point?
We help in-house legal teams automate the review and approval of everyday contracts.
Main contact email: hello@lawgeex.com
Twitter (or other social media): @lawgeex_
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LegalSifter
Core Product(s): LegalSifter (the product), ContractSifter Service, and ContractSifter
Main Technology : NLP/ML
Key Use Cases : Document review and negotiation
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HQ: Pittsburgh, PA
Other Offices:
Total Staff (approx.): 45
Year of Founding: 2013
Development Stage : Fully operational. Product launched in July 2017
CEO : Kevin Miller, CEO
CTO : Lars Mahler, Chief Science Officer and Co-Founder
Main external investors, if any: Birchmere Ventures
Target Market : General Counsel, Law Firms
Main Legal Jurisdictions in which you currently operate: United States
Reference Clients : TLT, Horty Springer, Estrella
Pricing Model(s): Seehttps://www.legalsifter.com/pricing
Note – Pricing transitioning from usage pricing to per user pricing
Software Configuration (e.g. cloud; on-site installation): Cloud
Security Standards (e.g. ISO Cert, or other): NA
Company Description :
LegalSifter’s mission is to bring affordable legal services to the world by empowering people with artificial intelligence. We will achieve our mission by working with the legal profession, not against it. Our clients review contracts in a minute or two using artificial intelligence and the advice of their lawyers and leaders. Users start by uploading draft contracts into LegalSifter. Sifters – software trained to read text, look for specific concepts, and learn over time – then review the document and identify important 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.
What is your core product’s key selling point?
Contract review in a minute or two using the advice of your lawyers and leaders
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Main contact email: inquiry@legalsifter.com
Twitter: https://twitter.com/legalsifter
LinkedIn: https://www.linkedin.com/company/legalsifter/
Facebook: https://www.facebook.com/legalsifter
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LEVERTON
Core Product(s): Data Extraction Platform; Managed Services; ERP/ DMS Integrations
Main Technology : NLP; Deep Learning
Key Use Cases : Data extraction; Document review; On-going doc management, due diligence for transactions
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HQ: Berlin, Germany
Other Offices: London, New York, Dallas, New Delhi
Total Staff (approx.): 100
Year of Founding: 2012
Development Stage : Fully operational
CEO : Abhinav ‘Abe’ Somani
CTO : Florian Kuhlmann
Main external investors, if any: DAH Beteiligungs GmbH, Anyon Holding GmbH
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Target Market : Corporate Real Estate; Law Firms; Accounting Firms; Consultancies; Banks; Insurance companies; REITs; Asset Management firms; NPL Servicers; Asset Re-creation companies
Main Legal Jurisdictions in which you currently operate: UK; US; Germany; India; Australia; Italy; Poland; France; Spain; Canada; Netherlands
Reference Clients : Linde; Clifford Chance; JLL
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Pricing Model(s): NA (info arriving soon)
Software Configuration (e.g. cloud; on-site installation): NA (info arriving soon)
Security Standards (e.g. ISO Cert, or other):
The LEVERTON platform runs on LEVERTON servers in ISO 27001 and ISO 9001 certified data centers which guarantee highest security.
Company Description :
LEVERTON provides deep insights from unstructured data found in corporate and legal documents in more than 30 languages. Trusted by over 100 leading companies to create value through structured data with its AI-powered, deep learning, data extraction platform, LEVERTON is located globally, with offices in New York, Dallas, London, New Delhi and Berlin. Better Data. Smarter Decisions.
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Twitter (or other social media):
Twitter: https://twitter.com/LEVERTON
LinkedIn: https://www.linkedin.com/company/leverton/
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LexPredict, LLC
(Note: Merged with Elevate, Nov 2018 – see news and AL 100 link)
Core Product(s): Software and data products, management, data science, and technology consulting services
Main Technology : We develop products and consult with organizations using technologies including NLP, ML, network science, expert systems, computer vision, deep learning, distributed systems, crowdsourcing, knowledge management, forensics, gamification/incentive management, and visualization.
Key Use Cases : Our flagship product, ContraxSuite, is a machine learning-powered contract analytics platform powered by our LexNLP natural language toolkit.
HQ: Michigan
Other Offices: Detroit, MI; Chicago, IL; Houston, TX; Boston, MA
Total Staff (approx.): 20
Year of Founding: Founded as Quantitative Legal Solutions in 2013; re-branded to LexPredict in 2014
Development Stage : Fully operational
CEO : Michael Bommarito
CSO: Daniel Martin Katz
CTO : Eric Detterman
Main external investors, if any: None
Target Market : Our target market includes corporate, law firm, and legal service providers, including both legal and technology audiences.
Main Legal Jurisdictions in which you currently operate: North America, South America, UK
Reference Clients : NA
Pricing Model(s): Pricing models for products range from “free” (open source subject to license terms) to paid support, customization, and training based on client requirements.
Software Configuration (e.g. cloud; on-site installation): We support deployments on-site/on premises, in the cloud, and in hybrid cloud or virtualization solutions.
Security Standards (e.g. ISO Cert, or other): ISO 27001 certification
Company Description : LexPredict is an enterprise consulting and technology firm. We improve process, technology, and the ways people interact with both. We provide traditional consulting services, but in many other cases, we also build data and technology products, or help seed startups to address unmet needs. We #MakeLawBetter.
…
What is your core product’s key selling point?
ContraxSuite and LexNLP allow organizations to build document and contract analytics solutions that they can audit and customize, and know that they have perfect ownership of their data and trained models.
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Main contact email: contact@lexpredict.com
Twitter: @LexPredict
Linkedin: https://www.linkedin.com/company/lexpredict-llc/
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LinkSquares Inc.
Core Product(s): LinkSquares: The AI-Powered Contract Analytics Cloud
Main Technology : NLP/ML
Key Use Cases : Fundraising, Mergers & Acquisitions, Diligence, Quarterly Reporting, Crisis Management, Internal Legal/Finance Projects
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HQ: Boston, MA
Other Offices: NA
Total Staff (approx.): 20
Year of Founding: 2015
Development Stage : fully operational
CEO : Vishal Sunak
CTO : Eric Alexander
Main external investors, if any:
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Target Market : Corporate Legal, Law Firms, Corporate Finance, Legal Operations
Main Legal Jurisdictions in which you currently operate: United States
Reference Clients : Carbonite, CloudHealth Technologies, DraftKings
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Pricing Model(s): 3 tiers of pricing: Basic, Pro & Enterprise based on features and volume
Software Configuration (e.g. cloud; on-site installation): Cloud
Security Standards (e.g. ISO Cert, or other): ISO 27001, SOC 2 Type II (in progress)
Company Description :
LinkSquares is an AI-Powered contract analytics tool for in-house legal and finance teams. Our customers are saving hundreds of hours and thousands of dollars by eliminating manual contract review. Our technology automatically detects and retrieves key contract terms and provides full-text search that lets you search contracts for specific keywords, phrases, and queries.
What is your core product’s key selling point? Know exactly what’s in your contracts without having to read them one at a time with LinkSquares AI-Powered analytics cloud.
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Main contact email: jacki@linksquares.com
Twitter (or other social media): @linksquares
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Luminance
Core Product(s):
– Luminance Diligence
– Luminance Property
– Luminance Corporate
– Luminance Discovery
Core Technology :
– Pattern Recognition Algorithms: Luminance understands language by context and content, not just by key-word search, through harnessing proprietary algorithms to identify patterns in the language of every data room it encounters.
– Advanced Statistical Probability: Bayesian estimation lies at the forefront of Luminance’s approach, ascertaining meaningful relationships within data but also quantifying the uncertainty associated with such inferences.
– Supervised and Unsupervised Machine Learning: Machine learning algorithms give computers the ability to learn and teach themselves from the data they are given without being explicitly programmed. This means no human input is needed to identify key similarities and differences across large numbers of contracts.
Key Use Cases : M&A Due Diligence, Real Estate, Regulatory Compliance, Insurance
HQ: London, UK.
Other Offices: Cambridge, Chicago and Singapore.
Total Staff (approx.): 70 staff
Year of Founding: 2015
Development Stage : Fully Operational
CEO : Eleanor Weaver
CTO : James Loxam
Main external investors, if any : Invoke Capital, Talis Capital and Slaughter & May invested in a Series A funding round at the end of 2017.
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Target Market : The flexibility of the platform, in terms of its multijurisdictional and multilingual capabilities and competitive-pricing model, allows Luminance to be targeted towards all legal professionals.
Main Legal Jurisdictions in which you currently operate: Multiple.
Reference Clients : With now over 110 clients, Luminance technology has been deployed by top-tier law firms across 35 countries including over 10% of The Global 100 law firms:
Slaughter and May, Bird & Bird, Holland & Knight, Allens, Wong Partnership, Portolano Cavallo
Pricing Model(s): Most clients of Luminance Diligence pay according to a metered amount of data they are working on within the system on a given day. A small number of customers have also chosen to install an on-premises appliance and are charged a monthly fee. This means that Luminance is priced so that firms of every size can benefit from this new generation of AI technology with organizations being charged only for what they use.
Furthermore, to accommodate for the stop-start nature of M&A activity on a transaction, Luminance offers an archiving service, allowing users to store documents and analysis within Luminance for longer periods of time.
Software Configuration (e.g. cloud; on-site installation): Luminance can be delivered in one of two forms, as a fully-serviced environment hosted in the cloud or as a preconfigured appliance plugged into the customer’s data centres and infrastructure. The application and user experience remains the same regardless of which option is chosen.
Security Standards (e.g. ISO Cert, or other): Information uploaded to Luminance is stored securely on the Luminance cloud servers or on-site appliances with all data stored being encrypted at rest and in transit, using 256-bit SSL encryption, ensuring that document content and metadata are protected.
Luminance security, infrastructure and operational practise have been certified by BSI as compliant with ISO27001:2013.
Company Description:
Luminance is the market-leading AI platform for the legal profession. Trained by legal experts, the revolutionary technology is founded on the latest breakthroughs in pattern recognition and machine learning at the University of Cambridge. Luminance reads and ‘thinks’ like a lawyer, but in volumes and speeds that humans will never achieve. Luminance provides an immediate global overview of any body of legal documents, finding significant information and anomalies without any instruction. Whether used for due diligence, compliance, insurance or contract management, Luminance immediately adds value to a legal team with no set-up or customisation required.
What is your core product’s key selling point?
– Simple Deployment: Luminance delivers value as soon as it is deployed in a firm, without sacrificing intelligence. Less than an hour of basic orientation, led by Luminance, is needed to begin using the platform allowing lawyers to focus on their work rather than setting up or implementing new software.
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Main contact email: info@luminance.com
Twitter (or other social media): @luminancetech
LinkedIn: https://www.linkedin.com/company/luminance-ai/
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PrivacyPolicyCheck.Ai – Synch
Core Product(s): PrivacyPolicyCheck.Ai
Main Technology: Deep Learning, NLP
Key Use Cases: document review: a free, deep learning-based tool for analyzing privacy policies from a GDPR compliance perspective
HQ: Stockholm, Sweden
Other Offices: Oslo, Copenhagen, Silicon Valley
Total Staff (approx.): 80 (inc. law firm)
Year of Founding: 2014
Development Stage (e.g. Beta, fully operational): Fully operational
CEO (or equiv): Jim Runsten
CTO (or equiv): Magnus Sundqvist
Main external investors, if any: NA
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Target Market: all types of companies; lawyers and non-lawyers
Main Legal Jurisdictions in which you currently operate: 35+ countries and growing
Reference Clients: NA
Pricing Model(s): Free to use
Software Configuration (e.g. cloud; on-site installation): Web-based (AWS)
Security Standards (e.g. ISO Cert, or other): AWS
Company Description:
Synch is different from other law firms when it comes to software development expertise too. Having employed two qualified lawyers who are also software developers, the company built a client-oriented AI tool entirely in-house.
PrivacyPolicyCheck.Ai is a free deep learning-based tool for analysing a privacy policy from a GDPR compliance perspective. The tool was supplied data and trained by Synch’s GDPR experts. Since its launch in end-June 2018, PrivacyPolicyCheck.AI has been used by hundreds of clients in more than 35 countries.
What is your core product’s key selling point?
Free evaluation of a privacy policy to determine which GDPR requirements, mandatory and optional, are addressed and which are not. The AI has been built and trained by lawyers.
Main contact email: magnus.sundqvist@synchlaw.se
Twitter (or other social media): Twitter @synchlaw
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Seal Software (now part of DocuSign)
Core Product(s):
- Seal Software Platform
- Seal Software Analytic Packs
- Seal Software Enterprise Analytics
- DocuSign Platform Extensions – Total Search powered by Seal, Intelligent Insights powered by Seal (these sold by DocuSign)
Main Technology :
- OCR
- NLP
- Text Analytics
- Semantic Analytics
- Machine Learning
Key Use Cases :
- Contract Discovery
- Content Review
- Content Analytics
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HQ: Walnut Creek, USA, EMEA – Headquarters, London, United Kingdom
Other Offices: New York, North Carolina, New Cairo – Egypt, Georgia – Atlanta
Total Staff (approx.): Over 240
Year of Founding: 2010
Development Stage : Fully operational
CEO : Ulf Zetterburg
CTO : Kevin Gidney
Main external investors, if any: Toba Capital
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Target Market : Enterprises: large/global
Main Legal Jurisdictions in which you currently operate: US, EMEA
Reference Clients :
‘We have been using the Seal Analytics platform for our customer and supplier contracts for a number of years now,’ said Robert Jackson, EVP & General Counsel, CyrusOne Inc, a real estate investment trust based in Dallas, TX. ‘ Seal’s legally trained ML experts implemented the system and have tailored it to allow the legal department to provide insight to the business on contractual matters, including liabilities, exposures, and revenue opportunities.’
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Pricing Model(s): : Per document, subscription
Software Configuration (e.g. cloud; on-site installation): Seal Cloud or on-premise.
Security Standards (e.g. ISO Cert, or other): SOC 2 Type 1
Company Description :
About Seal Software
Seal Software is the leading provider of content discovery, data extraction and analytics. With Seal’s machine learning and NLP technologies, companies can find contracts of any file type across their networks, quickly understand what risks or opportunities are hidden in their contracts and place them in a centralized repository. Based in the San Francisco Bay Area, Seal empowers enterprises around the world to maximize revenue opportunities, reduce costs, and mitigate risks associated with contractual documents, systems, and processes. For more information, visit Seal Software at seal-software.com.
What is your core product’s key selling point?
The Seal Intelligent Content Analytics (ICA) AI solution gives users access to a broader and deeper set of discovery, analytics, and insight capabilities. That insight empowers users to manage their business’s legal and regulatory exposure, and extract valuable intelligence and data from complex documents such as vendor and customer contracts, financial documents, lease agreements and a plethora of others.
Main contact email:
- Public inquires: info@seal-software.com
- Direct email to Seal marketing team: Cheryl.oneill@seal-software.com
Twitter (or other social media):
LinkedIn: Seal Software https://www.linkedin.com/company/seal-software-group/
Twitter: @SealSoftware
Facebook: Seal Software https://www.facebook.com/SealSoftware/
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Summize
Core Product(s): Summize
Main Technology: Contract Analysis Software
Key Use-Cases: Summize is used to create, review and manage contracts.
HQ: Manchester, UK
Total Staff (approx.): 26
Founding Year: 2018
Development Stage: Fully operational
CEO: Tom Dunlop
CTO: Richard Somerfield
Main External Investors: Maven/Northern Powerhouse Investment Fund & Charles Sharland
Target Market: In-House Legal Teams, SME’s and Law Firms.
Main Legal Jurisdictions: United States, United Kingdom, Europe, Canada, Australia, and New Zealand
Reference Clients: RVU, UserZoom, Everton FC and the University of Bristol. More information can be found here:https://www.summize.com/case-studies
Pricing Model: Subscription model, 12-month contract. Two different user types to choose from; full licence and business licence with the option for a customer success package. For more information, chat to a consultant here: https://www.summize.com/book-a-demo
Software Configuration: Cloud
Security Standards: All contractual data is stored in Microsoft Azure’s UK-based data centre and is encrypted at rest and in transit. Summize also undergoes regular pen tests – the most recent passed in 2021.
Company Description: Summize started with a simple question – how could contracts be made quicker and easier for legal teams? As a group of innovative problem-solvers, Summize developed an intelligent, conversational solution that helps users instantly understand, manage and review contracts their way. Summize makes contract review, creation and management easy, wherever you work.
Key Selling Point: Summize is an intelligent, conversational software that supercharges your contract processes and unlocks contractual insights. With a range of integrations, including MS Teams, Sharepoint, Slack and many more, Summize meets the user where they work. They aim to enhance existing tools and applications.
Contact Email: hello@summize.com
Social Media:
- Twitter – https://twitter.com/Summize_it
- Facebook – https://www.facebook.com/Summize.it/
- LinkedIn – https://www.linkedin.com/company/19214332
- YouTube – https://www.youtube.com/channel/UCIEvKK3guPmmccP_Gcdp6Mw
- Instagram – https://www.instagram.com/summize_it/
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ThoughtRiver Limited
Core Product(s): Review, Training Studio, Lexible Author, Lexible Training
Main Technology: NLP/ML
Key Use Cases: Triaging/Prescreening, Document Review, Contract digitisation, Risk Policy Digitisation, Risk assessment, Regulatory Investigation
HQ: London
Other Offices: Cambridge, UK, and Singapore
Total Staff (approx.): 20
Year of Founding: 2015
Development Stage (e.g. Beta, fully operational): Fully operational
CEO (or equiv): Tim Pullan
CTO (or equiv): Richard Moss
Main external investors, if any: Guy Laurence, Michael Findlay, Duncan Painter, Taylor Vinters, JQ Wang, Hatcher LLP
Target Market: General Counsel & their teams, Compliance, Procurement & Commercial, Sales, Law Firms
Main Legal Jurisdictions in which you currently operate: UK, Europe, USA, Australia, Singapore
Reference Clients: Eversheds Ignite
Pricing Model(s): Platform fee with volume top-ups
Software Configuration (e.g. cloud; on-site installation): Dedicated private cloud
Security Standards (e.g. ISO Cert, or other): SOC1, SOC2, SOC3, SSAE16 / ISAE3402 compliant, ISO27001
Company Description:
ThoughtRiver is a legal-tech company with offices in London, Cambridge & Singapore. ThoughtRiver simplifies contracting through digitisation using its proprietary contract description framework, Lexible.
ThoughtRiver’s technology supports automated contract summarisation, risk assessment and insight extraction capabilities using advanced AI and NLP technology.
The business was founded in early 2015 following 3 years of early conceptual development of Lexible and currently has a team of 20 employees. With experience as a City law firm partner and latterly a senior corporate executive, founder Tim Pullan started the company as a direct result of his first-hand experience of the friction caused by contracting processes. ThoughtRiver worked closely with senior NLP and machine learning experts at Cambridge University to create the proprietary Fathom Contextual Interpretation EngineTM that enables Lexible datapoints to be automatically identified in contracts.
What is your core product’s key selling point?
ThoughtRiver Review addresses a fundamental problem: you don’t know whether you need to read a contract without reading it. The entire initial contract assessment process is automated by leveraging Natural Language Processing (NLP) capabilities and adding a sophisticated digital risk playbook capability based on Lexible datapoints. We do not simply surface relevant clauses but answer detailed questions about contracts to simulate legal assessment.
Review interprets contracts to provide an understanding of risk and opportunity. Risk includes issues such as liability, indemnities etc (i.e. your top ten negotiated issues) but also regulatory issues such as GDPR, Revenue Recognition, Insurance Liability etc. We also work with clients to help them understand commercial opportunities within their contracts e.g. ability to review pricing or transfer assets to third parties.
Main contact email: info@thoughtriver.com
Twitter (or other social media): ThoughtRiver
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Vaultedge Software
Core Product(s):
- Vaultedge Contract Analysis
- Vaultedge Contract Review
Main Technology :
- Machine Learning, NLP, Legal Knowledge Graph
Key Use Cases :
- Contract Abstraction, targeted at BPO Firms and In-house Legal Counsels
- M&A Due Diligence, targeted at Law Firms
- Contract Review & Negotiation, targeted at In-house Legal Counsels
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HQ: Bangalore, India
Other Offices:
Total Staff (approx.): 25
Year of Founding: 2015
Development Stage : Fully operational
CEO : Murali Tirupati
CTO : Sajeev Aravindan
Main external investors, if any: Top Investors from India (Deal terms are not public)
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Target Market : BPO Companies, Inhouse Legal Counsels in Enterprises
Main Legal Jurisdictions in which you currently operate: India, USA, UK, All of Continental Europe
Reference Clients : NA
Pricing Model(s):
- $10 / contract processed
- Monthly plans for high volumes
Software Configuration (e.g. cloud; on-site installation):
- Cloud (SaaS) as well as On-premise (On-site installation)
Security Standards (e.g. ISO Cert, or other):
- ISO27001 Certified
- Vulnerability Assessment done
Company Description :
Vaultedge is a Legal Technology company founded by graduates from Stanford and IIM Ahmedabad. Vaultedge offers software that uses artificial intelligence to automatically review legal contracts, highlight risks and create summaries. Vaultedge is being used by Fortune-500 companies to save up to 80% of Contract Review and Abstraction time.
What is your core product’s key selling point?
- Accurately extract full provisions as well as specific values
- Automatically review contracts to highlight risks and suggest alternate text
- Most user friendly software in the category
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Main contact email: mailto:murali@vaultedge.com
Twitter (or other social media): https://twitter.com/vaultedgetweets
(Companies A to K are listed on the previous page.)