Collaboration and Legal Data Platforms here refer to those systems that play a central role in how law firms and clients share, store, move and gain visibility of key data after it has been extracted or collated, whether transactional in nature or for other use cases. Often this will involve some elements of machine learning, as well as dashboards that show the user key information in their data stack. These types of application are particularly helpful in supporting the use of NLP/ML unstructured data extraction tools in areas such as Doc Review.

The companies listed here are:

  • HighQ
  • NetDocuments (other applications, see listing)
  • Ruby Datum


Core Product(s): HighQ Collaborate and HighQ Publisher

Main Technology: ML and NLP

Key Use Cases:

  • Document management
  • Project management
  • Social collaboration
  • Knowledge management
  • Content marketing
  • Extranets
  • Secure file sharing
  • Virtual data rooms

HQ: 55 King William St, London EC4R 9AD

Other Offices:

  • Germany- Fellnerstrasse 5, 60322 Frankfurt, Germany
  • Netherlands Weteringschans 165C, 1017XD Amsterdam
  • US 500 7th Avenue, New York, NY, 10038
  • US 7311 West 132nd Street, Suite 320, Overland Park, Kansas 6621
  • US Suite 402, 5005 SW Meadows Road, Lake Oswego, Oregon
  • Australia Level 29, 20 Bond Street, Sydney, NSW 2000
  • India, Bangalore L-148, 5th main Road, Sector 6, HSR layout, Bangalore – 560102
  • India, Ahmedabad F/4, Science Square, Above Reliance Fresh, Science City Road, Sola, Ahmedabad-380060
  • India, Ahmedabad Office Galaxy Signature, (Galaxy Avenue Pvt. Ltd) Sola, Science City Road, Sola, Ahmedabad (Unit 13 & 14)

Total Staff (approx.): 362

Year of Founding:  2001

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

CEO:  Ajay Patel

Chief Product & Strategy Officer:  Stuart Barr

CTO: Steven Robertson

Main external investors, if any: NA.

Target Market: Corporate Legal, Law Firm, Financial Services

Main Legal Jurisdictions in which you currently operate: UK, EMEA, NA, APAC

Reference Clients:

Pricing Model(s): Per User

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

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

  • ISO27001
  • FIPS 140-2 Level 3
  • CSA Star
  • Cyber Essentials Plus
  • Uptime Institute Tier 3

What is your core product’s key selling point?

HighQ’s intelligent collaboration and client engagement solutions enable you to be more agile, responsive and transparent, creating deeper relationships and improving every aspect of the client experience.

Collaboration and productivity

  • Manage, share and collaborate on sensitive documents and content in secure matter workspaces
  • Create a single source of truth for projects with a real-time view of tasks, activities and progress
  • Centralise team and client communication to enhance transparency, efficiency and productivity
  • Socialise knowledge, share insight and surface expertise to drive improved decision-making

Client engagement

  • Create a dedicated hub for your clients to access key matter information and legal resources
  • Provide financial and project transparency to give clients real-time insight into matter progress
  • Deliver tailored knowledge content and thought leadership to build client loyalty and add value
  • Promote your firm’s expertise and publish targeted event, seminar and training programmes

Digital transaction management

  • Create automated workflows to standardise M&A, litigation, real estate and other transactional processes
  • Use project management tools to ensure efficient, repeatable processes, delivered on time and to budget
  • Optimise due diligence, visually report risk and deploy AI engines for document and contract reviews
  • Collaborate in secure deal rooms and exchange sensitive files and information securely in virtual data rooms

Product and service delivery

  • Create new revenue streams by productising your firm’s unique legal knowledge and expertise
  • Empower clients to manage risk and surface value with contract, asset and portfolio management tools
  • Provide contract playbooks and enable clients to automatically generate their own legal documents
  • Help clients implement regulatory strategies, audit compliance and carry out remediation

HighQ’s AI Hub allows HighQ’s own AI functionality and supported third-party AI engines (Kira) to be integrated seamlessly into processes and workflows within the HighQ platform. It simplifies the use of multiple AI engines and makes them more accessible and automated for end users.

  • It can leverage HighQ’s native AI features to perform tasks such as automatically classifying document types, detecting languages, currencies or governing law, as well as leveraging powerful third-party AI engines to detect or extract provisions and data points from your documents, the results of which are stored in the AI Hub’s repository.
  • Once this enriched information is in the AI Hub, it’s available for use in the iSheets or data visualisation modules.
  • This capability is ideal for automating and simplifying transactional processes such as due diligence, large property deals, knowledge management and legal project management and so on.


Twitter: @HighQ 


Core Product(s): NetDocuments, ndMail, ndThread

Main Technology: Machine Learning, Natural Language Processing, Artificial Intelligence

Key Use Cases: Document and email management, document review, data security, and secure collaboration

HQ: Lehi, UT, USA

Other Offices: Reading, United Kingdom; Sydney, Australia

Total Staff (approx.): 225

Year of Founding: 1999

Development Stage: Fully Operational

CEO (or equiv): Josh Baxter

CTO (or equiv): Alvin Tedjamulia

Main external investors, if any: Clearlake Capital

Target Market: Law Firms, General Counsel, Legal Operations

Main Legal Jurisdictions in which you currently operate: United States, Canada, United Kingdom, Europe, Australia

Reference Clients (optional):

Pricing Model(s): SaaS annual subscription, cost-based on number of users

Software Configuration (e.g. cloud; on-site installation): 100% Cloud

Security Standards (e.g. ISO Cert, or other): NetDocuments has completed or is in the process of completing 11 certification or attestations including ISO 27001, 27017, & 27018; Type 2 SOC 2, SOC 2 Plus, FIPS 140-2 Level 3, SEC/FINRA, General Data Protection Regulation (GDPR) and HIPAA compliance.

Company Description:

NetDocuments is a leading provider of content services for firms of all sizes. As a pioneer in cloud-based legal technology, the company has spent nearly two decades providing its customers with safe, ready, and proven solutions that improve security, increase productivity and help firms provide better service to their clients. The NetDocuments platform leads the industry with its state-of-the-art machine learning (ML) and artificial intelligence (AI) capabilities. NetDocuments continues to enable its 2,500+ global customers today with a single, scalable cloud-based platform for creating, accessing, securing, managing, and collaborating on documents, emails, and real-time conversations.

What is your core product’s key selling point?

NetDocuments allows firms to collaborate better and improve efficiencies, enabling users to spend less time on clerical tasks and more time on providing better service to their clients. In terms of AI and ML NetDocuments delivers:

ndMail is unlike other email management solutions. It comes pre-loaded with accurate filing predictions leveraging AI and ML technology based on existing matter content and filing behaviours. This eliminates the need for complex deployment or pre-trained models to generate its predictions.

NetDocuments’ AI Marketplace: This was designed in early 2018 to streamline access to specific machine learning models from approved ND partners. AI vendors are excited by the platform approach, which can facilitate best of breed solutions.  Early marketplace entrants include Kiera Systems

ndThread is a social collaboration and matter-based messaging tool built natively within the NetDocuments cloud platform. ndThread provides a more complete electronic matter file by incorporating threaded conversations and document-level messaging within NetDocuments existing matter-centric workspaces and enterprise search engine. ndThread extends the value and depth of information contained in a matter and dramatically reduces the over-reliance and inefficiencies related to internal, email-based conversations.

Main contact email:

Twitter (or other social media): @NetDocuments, @NetDocumentsUK

Ruby Datum

Core Product(s): Virtual Data Room

Main Technology: ML

Key Use Cases: Transactions / Document Management / Task Management / GDPR Assistant

HQ: Exeter

Other Offices: London, Bristol and Cambridge

Total Staff (approx.): 10

Year of Founding: 2016

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

CEO (or equiv): Nicholas Watson

CTO (or equiv): Nicholas Watson

Main external investors, if any: NA

Target Market: Law Firms, Commercial and Corprorate Law, Real Estate, Construction, Renewable Energy, Insolvency Practitioners

Main Legal Jurisdictions in which you currently operate: UK

Clients: Ashfords, Quantuma, Kitsons, Stor Power

Pricing Model(s): Transparent pricing based on storage capacity agreed.

Master licences normally £9,000 including 10GB whilst one-off deals £1,750 for 2.5GB annually.

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

Security Standards (e.g. ISO Cert, or other): OWASP, Cyber Essentials. Hosting ISO27001 Compliant.

Company Description:

Intuitive, Secure, Reliable and fast Virtual Data Rooms with automation. Ideal for companies looking to have a Branded VDR for use internally and externally. Highly responsive support creates a user-friendly experience for third parties and clients alike. Ruby Datum is proven for all sizes of transaction including those involving global Law Firms.

What is your core product’s key selling point?

Very user friendly, intuitive, highly secure and fast without the clutter. A fresh new approach to a traditional concept.

Main contact email:

Twitter (or other social media): @RubyDatum

[ Further companies will be added to this category. ]