See How Visible Your Brand is in AI Search Get Free Report

ILTA Launches AI Guide for Legal Disclosure Standards

  • August 22, 2025
    Updated
ilta-launches-ai-guide-for-legal-disclosure-standards

Key Takeaways

• ILTA has introduced a Generative AI Guide to regulate how AI is used in legal disclosure processes within England and Wales.

• The guide addresses an urgent legal gap in Practice Direction 57AD, which currently lacks guidance on GenAI usage in disclosure.

• Experts warn that undisclosed and unstandardized AI tools could lead to biased outcomes and costly legal disputes.

• The guidance will undergo public consultation and is expected to be finalized by September 2025.


The International Legal Technology Association (ILTA) has released a new Generative AI Guide designed to provide a governance framework for using generative artificial intelligence (GenAI) in legal disclosure.

The initiative responds to a pressing legal challenge: the rapid adoption of AI in litigation without clear standards or oversight.

The guide specifically targets litigators operating within England and Wales’ Business and Property Courts, addressing the lack of direction in Practice Direction 57AD, which governs disclosure procedures but does not currently include guidance on AI-assisted reviews.


Background: A Legal System Facing AI-Driven Complexity

The integration of GenAI into legal workflows has accelerated in recent years, offering both efficiency and complexity. In traditional disclosure, parties are required to share relevant evidence.

However, as firms increasingly use AI to review and categorize massive volumes of documents, the need for standards on validation, transparency, and oversight has grown critical.

“Without the guidance the UK faces a storm of litigation, soon, where parties to cases make use of whatever ‘AI’ system they choose for the process. Those systems are proprietary and the way they work is unlikely to be disclosed. Different systems can introduce different performance and bias to one side or the other. This will spark costly and complex legal disputes.”
— Dr. Victoria McCloud, former High Court Judge and litigation consultant


Guide Development and Expert Collaboration

The Generative AI Guide was developed collaboratively by a panel of industry leaders:


• Co-chaired by Fiona Campbell (Fieldfisher) and Tom Whitaker (Burges Salmon)
• Contributions from David Wilkins (Norton Rose Fulbright), James MacGregor (Ethical eDiscovery)
• Additional expertise from DAC Beachcroft’s Jonathan Howell, Jamie Tomlinson, and Imogen Jones

The document builds on the 2024 Active Learning Guide—a document submitted to the Master of the Rolls, which is still under review—and is intended as a companion rather than a replacement. Its goal is to bring consistency to how GenAI is applied in the legal discovery process.


Core Areas Covered in the GenAI Addendum

The guide outlines best practices for using GenAI in disclosure, emphasizing structured workflows, validation, and accountability. It offers clear recommendations in the following areas:


• Appropriate use cases for generative AI in the disclosure process
• Techniques for prompt design and human oversight of AI outputs
• Validation strategies including elusion testing, and precision/recall metrics
• Integration with existing Active Learning workflows
• Transparency and documentation standards for auditability

“GenAI brings real potential—but also real risk—to legal disclosure. The validation tools developed for Active Learning, like elusion testing and precision/recall, can be applied to GenAI outputs. That’s why it makes sense to treat this guidance as an addendum, not a standalone.”
— Fiona Campbell, Fieldfisher


Legal Implications: Toward Standardization and Reduced Costs

The use of proprietary AI models without regulation may lead to unfair advantages, especially when each party in litigation uses different tools with unknown biases or operational logic.

By setting industry-accepted rules, the guide aims to limit disputes around technical procedures and cut down on the time and cost associated with challenging the validity of AI-reviewed disclosures.

“These companion documents deliver a consistent, court-aligned roadmap for tech-assisted review (TAR). Standardising practices helps reduce case-by-case wrangling over process—and cost.”
— James MacGregor, Chair, ILTA Litigation Special Interest Group


The official launch of the Generative AI Guide is scheduled for May 6, 2025, during an ILTA-hosted event at Fieldfisher’s London offices.

A panel including the guide’s contributors will present the framework and discuss its potential legal and operational impact.

The document will then enter a public consultation phase, during which the broader legal and tech communities can submit feedback. The final version is expected to be published in September 2025.

Spendesk & Dust Partner on Scalable AI Agent Rollout

Poppins Raises €5M for Dyslexia Therapy App

Meta Faces Backlash Over LLaMA 4 Performance Issues

For more news and insights, visit AI News on our website.

Was this article helpful?
YesNo
Generic placeholder image
Articles written 930

Khurram Hanif

Reporter, AI News

Khurram Hanif, AI Reporter at AllAboutAI.com, covers model launches, safety research, regulation, and the real-world impact of AI with fast, accurate, and sourced reporting.

He’s known for turning dense papers and public filings into plain-English explainers, quick on-the-day updates, and practical takeaways. His work includes live coverage of major announcements and concise weekly briefings that track what actually matters.

Outside of work, Khurram squads up in Call of Duty and spends downtime tinkering with PCs, testing apps, and hunting for thoughtful tech gear.

Personal Quote

“Chase the facts, cut the noise, explain what counts.”

Highlights

  • Covers model releases, safety notes, and policy moves
  • Turns research papers into clear, actionable explainers
  • Publishes a weekly AI briefing for busy readers

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *