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Our Research

We're a team of generative AI and legal veterans.
Our advisors include Professor Jun Wang, Lord Neuberger and other industry titans.
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What our research covers

We have been studying the effects of generative AI on the legal industry since our company was founded in 2017. Here's a brief summary of what we've worked on:

De-identification of Contracts (Collaboration with Barclays, Withers, the University of Oxford and Imperial College London)

UKRI awarded a £1.5M grant to Ƶ’s consortium - Barclays, Withers, the University of Oxford, and Imperial College London - to answer two of the biggest challenges to the adoption of AI in Legal services:

  • access to confidential data
  • understanding the decisions machine learning models make

The project aimed to answer these challenges with the combined capabilities of

  • Ƶ’s Legal AI
  • Oxford University’s research into robust recurrent neural networks to explain the accuracy of machine learning decisions
  • Imperial College’s research into the de-identification of legal contracts to anonymise confidential data while retaining critical information.

The State of Legal AI

You can for this published on December 12th 2024, or find one of the 92 sections which interests you most using the links below.

Full list of sections

  1. The 2024 Legal AI Retrospective:
Key Lessons from the Past Year
  2. Current state of Legal AI
  3. Brief history of AI in the legal sector
  4. Key Challenges and 2025 Outlook
  5. Key Areas of Legal AI Development
  6. Legal Chatbots and Client Engagement
  7. Key Applications of Legal AI
  8. Document review and contract analysis
  9. AI-Driven Legal Research and Knowledge Management
  10. AI in Due diligence and compliance
  11. Natural Language Processing in Legal Text Analysis
  12. AI in Contract Analysis
  13. AI-Enhanced Risk Assessment and Management
  14. Automated Regulatory Compliance Monitoring
  15. AI in Summarizing Legislation
  16. AI for Reacting to Legislative Changes
  17. AI for Data Privacy and Security Compliance
  18. Automated Due Diligence Reporting
  19. Automated trademark infringement monitoring
  20. AI-Assisted Legal Communications Drafting
  21. AI in Legal and contract drafting
  22. AI-Assisted Document Drafting
  23. Open Access and Open source Legal AI
  24. AI Contract Generators
  25. Multilingual Contract Drafting with AI
  26. AI-enhanced Contextual Clause Suggestions
  27. AI in Data Governance for Legal
  28. Changing of the guard
  29. Emerging Legal Editors and Drafting Tools
  30. Compliance Decisions
  31. IP Risk Assessment in Data Flows
  32. Data Usage Throughout the Legal Value Chain
  33. Multimodal AI Models for Legal
  34. Ethical AI and Bias Mitigation in Legal
  35. Large Language Models in Legal AI
  36. Multilingual NLP for Legal AI
  37. Efficient Training and Deployment of Legal AI
  38. Explainable AI in Legal Decision-Making
  39. Creating Explanations for New Types of Legal AI
  40. Evaluating XAI Methods in Legal AI
  41. Transformer Architecture Dominance in Legal NLP
  42. Supporting Multi-Dimensional Explainability in Legal AI
  43. Supporting Human-Centered Explanations in Legal AI
  44. Adjusting XAI Methods for Different Legal Contexts
  45. Mitigating Negative Impacts of XAI in Legal
  46. Improving Societal Impact of Legal XAI
  47. AI-Enhanced Contract Drafting, Rev