Our Research

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 Genie AI’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

• Genie AI’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 download our full 50-page whitepaper for this published on December 2nd 2024, or find the section which interests you most in our blog posts.

• I. Executive Summary
• II. Introduction
  • A. Brief history of AI in the legal sector
  • B. Current state of Legal AI
  • Key Applications
• III. Key Areas of Legal AI Development
  • A. Document review and contract analysis
    • Natural Language Processing in Legal Text Analysis
    • Contract analysis
    • AI-Driven Legal Research and Knowledge Management
    • Conclusion: Document review and contract analysis
  • B. Due diligence and compliance
    • AI-Powered Document Review
    • AI-Enhanced Risk Assessment and Management
    • Automated Regulatory Compliance Monitoring
    • Summarizing Legislation
    • Reacting to Legislative Changes
    • Data Privacy and Security Compliance
    • Automated Due Diligence Reporting
    • Automated trademark infringement monitoring
    • Conclusion: Due Diligence & Compliance
  • C. Legal and contract drafting
    • AI-Assisted Legal Communications Drafting
    • AI-Assisted Document Drafting
    • Open Access and Open source Legal AI
    • AI Contract Generators
    • Multilingual Contract Drafting
    • AI-enhanced Contextual Clause Suggestions
    • Emerging Legal Editors and Drafting Tools
    • Changing of the guard?
    • Conclusion: Legal and contract drafting
  • D. Data Governance
    • Introduction: Data Usage Throughout the Value Chain
    • IP Risk Assessment in Data Flows
    • Compliance Decisions
    • Conclusion
• IV. Emerging Trends and Technologies
  • Trend 1: Advancing Natural Language Processing (NLP)
    • Transformer Architecture Dominance
    • Large Language Models (LLMs)
    • Multimodal Models
    • Ethical AI and Bias Mitigation
    • Multilingual NLP
    • Efficient Training and Deployment
    • Conclusions: NLP in the Legal Domain
  • Trend 2: Explainable AI (XAI) in legal decision-making
    • Creating Explanations for New Types of AI
    • Improving Current XAI Methods
    • Evaluating XAI Methods
    • Supporting Human-Centered Explanations
    • Supporting Multi-Dimensional Explainability
    • Adjusting XAI Methods for Different Contexts
    • Mitigating Negative Impacts of XAI
    • Improving Societal Impact of XAI
  • Trend 3: Contract Law and Democratising of Market Standards
    • AI-Enhanced Contract Drafting, Review, and Analysis
    • Standardization of Contract Terms and Clauses
    • Available datasets
    • Defining Accuracy
    • Prompt Engineering
    • Challenges and Future Directions
    • Conclusion
• V. Pros and Cons of Legal AI by Legal Team Type
  • A. Advantages for In-house Legal Teams
    • Increased Accuracy: Potential for More Data-driven Decision Making
    • Increased Efficiency: Time Savings Through Reduced Research, Drafting, Customizing, and Negotiating
    • AI Becomes an In-house ALSP
    • Junior Roles Evolve into "AI Wranglers"
    • In-house Legal Teams: The Frontier of Legal AI Innovation
    • Empowering Strategic Risk Management
  • B. Concerns and Limitations for In-house Legal Teams
    • Data Privacy and Security
    • Potential for Bias and Errors
    • Ethical Considerations and Accountability
    • AI Hallucinations and Reliability
    • Balancing Adoption with Caution
    • AI Hallucinations
  • C. Advantages for Biglaw
    • In-House Development of Specialized AI Applications
    • Enhanced Client Value Through AI-Driven Productization
    • Potential for Higher Margins and Competitive Advantage
    • Customization and Localization Opportunities
    • Potential Disadvantages and Challenges
    • Strategic Utilization for Market Share Growth
    • Product-Led Growth and Democratization of Legal Services
  • D. Concerns and Limitations for Biglaw
    • Data Security and Client Confidentiality
    • Ethical Implications of AI and Time Tracking
    • Accuracy and Reliability of AI-Generated Content
    • AI Hallucinations and False Information
    • Over Reliance on AI and Skill Atrophy
    • Cultural Resistance and Shadow AI Usage
  • E. Advantages for Small Law Firms / Sole Practitioners
    • Expansion into New Practice Areas
    • Enhanced Research Capabilities
    • Customized Document Generation
    • Increased Productivity and Client Capacity
    • Cost-Effective Alternative to Additional Staff
  • F. Concerns and Limitations for Small Law Firms / Sole Practitioners
    • High Initial Costs and Implementation Challenges
    • Limited Customization for Niche Practice Areas
    • Client Perception and Trust Issues
    • Additional Concerns

Comparisons of Legal AI tools

We haven't published these yet, but we've carried out detailed analysis on the market for Legal AI tools. We researched 80+ legaltech tools claiming to offer AI services, and compare them side-by-side.

‍

Much more to come

4 years before the world had it's ChatGPT moment, our Co-founder and CEO, Rafie Faruq was writing his thesis on Generative AI. A lot has changed since then, and we have a lot of unpublished research on effective prompting of Legal AI, anonymisation, document transformation, AI negotiation, and much more.

We apply first-principles thinking within our Senior Machine Learning team here, tied to our relentless pursuit of delivering value to our customers.

Use the links below to follow us on our social channels to stay informed on new research and developments.
‍

For future research releases, follow Genie AI on Youtube, on X, and LinkedIn.

‍
Contact us if you'd like more information on any of the research mentioned on this page. community@genieai.co (Alex Denne)

‍