Mediation Solutions You Can Understand

Mediation Expertise You Can Rely on

Mediation offers a cost-effective and efficient way to resolve disputes without the lengthy and expensive court process. Our experienced, accredited mediators can help you and the other party reach a mutually agreeable settlement.

Mediation Solutions You Can Understand

Mediation Expertise You Can Rely on

Mediation offers a cost-effective and efficient way to resolve disputes without the lengthy and expensive court process. Our experienced, accredited mediators can help you and the other party reach a mutually agreeable settlement.

Accuracy to Your Disputes

Bringing Clarity

22 Chalcott Gardens Professional Mediators  Serving London, the Midlands & Worldwide

Resolve Your Dispute Through Mediation

Mediation offers a cost-effective and efficient way to resolve disputes without the lengthy and expensive court process. Our experienced, accredited mediators can help you and the other party reach a mutually agreeable settlement.

We understand that legal matters can be overwhelming. Our goal is to provide mediation assistance in clear, understandable language. If you have any questions about your options, just ask—we’re here to explain everything in a way that makes sense to you.

Our first step is to collaborate with you to develop a plan tailored to achieve the results you need. By understanding your situation, we will craft a mediated path to success.

Get Started Today

Don’t wait! Contact us for a free phone consultation.

22 Chalcott Gardens

The Mediation Process:

Our flexible mediation process typically involves:

Confidential

The mediation process and any resulting settlement remain private.

Flexible

The process can be tailored to your specific needs and situation.

Collaborative

Both parties work together, guided by the mediator, to find a solution

Cost-Effective

Mediation fees are typically much lower than court and solicitor fees.

Relationship-Building

Mediation facilitates communication and often preserves business and personal relationships.

Creative Solutions

Mediation allows for win-win solutions not typically available in court.

Voluntary

Either party can withdraw from mediation at any time. Mediation is voluntary.

Legally Binding

Any settlement can become a legally enforceable agreement.

Accuracy to Your Disputes

Accredited Mediator

As an accredited mediator with the International Mediation Institute, Philip Corsano adheres to globally recognised standards and criteria. He has extensive training and experience in successfully settling disputes through mediation. Additionally, he has negotiated and established successful international ventures.

While the mediation process is flexible, it typically involves:

  • Identifying issues in dispute
  • Facilitating communication between parties
  • Exploring interests and priorities
  • Developing various settlement options
  • Negotiating a mutually acceptable resolution

For clear, effective, and affordable dispute resolution, trust 22 Chalcott Gardens Professional Mediators to guide you through the mediation process.

22 Chalcott Gardens

Testimonials

In a case of wrongful termination due to discrimination, we were able to get our client a settlement that helped them find a supportive work environment in which to continue their career.

Mrs K. 2022

While working in IBM EMEA as head of Project Fiannce Philip has shown outstanding skills and knowledge in financial aspects of complex IT projects, especially those requiring financing. His professionalism helped to find business solutions for many Russian customers who experienced temporal budgeting difficulties in complex transition times.

S Kouzmin 2021

Philip helped me, in his role as a legal consultant and mediator, to find a clear and cost effective way out of a very difficult situation. I cannot thank him enough.

Mrs. M 2023

From the Civil Mediation Blog in September 2024.

 

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Mediating Climate Change Disputes: Navigating Scope 3 Effects and International Law Implementation in Energy Transition Projects

 

Introduction

As the global community intensifies its efforts to combat climate change, the transition to sustainable energy sources has become a critical challenge, especially within the realm of administrative law. This challenge is reflected often in disputes between citizens, state entities, and corporations, particularly over the interpretation and application of regulations concerning Scope 3 emissions—those indirect emissions that occur within a company’s value chain.

A recent landmark case, R (on the application of Finch on behalf of the Weald Action Group) v Surrey County Council and others [2024] UKSC 20, has underscored the importance of correctly interpreting the Town and Country Planning (Environmental Impact Assessment) Regulations 2017. Specifically, the case revolved around whether local planning authorities, when considering applications involving commercial oil extraction, must assess the environmental impact of ‘downstream‘ greenhouse gas emissions resulting from the eventual use of refined oil products.

Mediation, increasingly recognized across various legal contexts, presents a promising and cost-effective approach for resolving these complex and emotionally charged conflicts. The  Court of Appeal decision in Churchill v Merthyr Tydfil County Borough Council [2023] EWCA Civ 1416 has significantly altered the landscape for mediation in UK administrative law. This ruling held that compulsory mediation is not contrary to Article 6 of the European Convention on Human Rights (ECHR), which guarantees the right to a fair trial, thereby opening the door for courts to mandate mediation in appropriate cases, including those involving complex climate change disputes.

Mediation and International Law Implementation

A critical advantage of mediation in climate change disputes is its potential to address the lack of consistency in applying new interpretations of International Tribunal for the Law of the Sea (ITLOS) and International Court of Justice (ICJ) advisories and rulings in domestic law. This aspect is particularly crucial as it allows for cross-border implementation in jurisdictions that currently may not support best practices.

Mediation can serve as a bridge between international legal standards and domestic implementation, reducing the risk of non-compliance. However, when drafting voluntary multi-jurisdiction commitments, care should be taken to ensure that the spirit of climate change regulations is consistently applied across international boundaries. This approach can help harmonize the application of international environmental law principles in various national contexts, potentially leading to more uniform and effective climate change mitigation efforts globally.

 

 

Limitations of Mediation

Despite its advantages, mediation is not suitable for all disputes. Cases where mediation may be inappropriate include:

  • When a legal precedent is needed
  • Where there’s an abusive imbalance of power between parties
  • If one party is dishonest or untrustworthy
  • When the mediator lacks necessary qualifications or experience
  • If a specific outcome is required by a certain date
  • When full force and effect under the New York Convention is necessary for multi-jurisdictional enforcement

The Cost-Effectiveness of Mediation in Climate Change Disputes

One of the most compelling reasons to embrace mediation in climate change disputes is its potential for significant cost savings relative to litigation. Data from various sources underscores the financial benefits of mediation compared to traditional litigation or arbitration:

  • World Bank data: For a dispute valued at $200,000, arbitration costs average 17.3% of the dispute value, whereas mediation costs only 4.7%.
  • Civil law jurisdictions: For disputes valued at $10 million, arbitration costs average 5.6% of the dispute value, compared to just 1.5% for mediation.
  • Common law jurisdictions: For disputes of the same value, arbitration costs average 14.3% of the dispute value, while mediation costs are just 3.3%.

Mediation can offer cost savings of up to 70-80% compared to traditional dispute resolution methods. In the context of climate change disputes, which often involve multiple stakeholders and extensive technical evidence, these savings are not just substantial—they can be transformative.

Moreover, combining mediation with arbitration (a mixed-mode approach) can lead to average cost savings of 40.1% compared to arbitration alone. This hybrid approach is particularly beneficial in administrative law cases, where technical complexity often necessitates a combination of collaborative problem-solving and expert evaluation.

Administrative Law and Climate Change Disputes

Administrative law is central to climate change mitigation efforts, especially in the permitting process for energy transition projects. These processes often include:

  • Environmental impact assessments
  • Public consultations
  • Interpretation and application of emissions regulations
  • Balancing economic development with environmental protection

Disputes in this area often arise between citizens and NGOs on one side, and state agencies and corporations on the other, each interpreting regulations and scientific data differently. The complexity of these cases, particularly those involving Scope 3 emissions, makes them ideal candidates for mediation, if parties accept the scientific fact-based framework of the Intergovernmental Panel on Climate Change. Not only can mediation lead to significant cost savings, but it also provides a framework for resolving these disputes more effectively.

Scope 3 Emissions in Administrative Law Disputes

Scope 3 emissions are notoriously challenging to quantify and attribute, making them a frequent point of contention in energy transition projects and their associated permitting processes. Unlike Scope 1 (direct emissions) and Scope 2 (indirect emissions from purchased energy), Scope 3 emissions involve a broader set of activities and require collaboration across the entire value chain.

In administrative law, where stakeholders such as energy producers, NGOs, consumers, and regulatory bodies have vested interests, the interpretation of Scope 3 effects can significantly impact decision-making and project outcomes. Mediating these disputes requires not only a deep understanding of environmental science and administrative law but also an awareness of the cognitive biases that can influence stakeholders’ perceptions.

Cognitive Biases in Administrative Law and Climate Change Conflicts

Several cognitive biases can cloud judgment and hinder effective dispute resolution, particularly in the context of administrative law:

  • Confirmation Bias: Stakeholders may selectively interpret regulations or scientific data that confirm their pre-existing beliefs about the impact of Scope 3 emissions.
  • Anchoring Bias: Initial assessments of Scope 3 emissions in permit applications can disproportionately influence subsequent judgments by regulatory bodies or opposing parties.
  • Framing Effect: The presentation of information in environmental impact assessments can significantly affect how it is perceived by different stakeholders.
  • Groupthink: In public consultations or multi-stakeholder discussions, consensus-driven processes might suppress dissenting views, leading to suboptimal decisions.
  • Optimism Bias: Government agencies or project proponents may underestimate the long-term impacts of Scope 3 emissions or overestimate their ability to mitigate these effects.
  • Status Quo Bias: Regulatory bodies may resist changes to existing permitting processes, even when presented with evidence of their inadequacy in addressing climate change issues.

Turning Threats into Opportunities Through Mediation in Administrative Law

Mediation offers a structured yet flexible process that can help stakeholders navigate these biases and reach a consensus on Scope 3 emissions within the administrative law framework. The key strategies to transform climate change disputes from threats into opportunities are:

  1. Identifying Underlying Interests in the Permitting Process: Mediation allows parties to explore the underlying interests that drive their positions on permit applications. By uncovering these interests, mediators can help find common ground and develop solutions that address the broader goals of all stakeholders.
  2. Reframing Regulatory Issues: A skilled mediator can reframe the discussion around Scope 3 emissions and regulatory compliance, shifting the focus from adversarial positions to collaborative problem-solving, leading to more innovative and effective regulatory solutions.
  3. Addressing Cognitive Biases in Administrative Decision-Making: Mediators can mitigate the effects of cognitive biases by introducing neutral, third-party experts to provide balanced assessments of Scope 3 emissions and encouraging stakeholders to consider a range of regulatory scenarios and outcomes.
  4. Creating a Safe Space for Public-Private Dialogue: Mediation provides a confidential environment where stakeholders, including citizens, NGOs, government agencies, and corporations, can express their concerns without fear of judgment or retaliation. This is particularly important in administrative law disputes, where power imbalances can be significant.
  5. Designing Tailored Regulatory Solutions: Unlike traditional administrative hearings or litigation, which often result in win-lose outcomes, mediation allows for the creation of customized solutions that can benefit all parties. For example, a mediated agreement might include commitments to enhanced monitoring and reporting mechanisms, community benefit agreements, or industry-wide best practices for managing Scope 3 emissions.

The Role of Compulsory Mediation in Administrative Law

The Churchill v Merthyr decision now enables courts to mandate mediation in climate change disputes within the administrative law context. This could be particularly beneficial in cases involving Scope 3 emissions and permitting processes. Mediation in administrative law disputes could:

  • Ensure that all parties, including citizens and state agencies, engage in good-faith efforts to find mutually beneficial solutions before resorting to litigation.
  • Provide a structured environment for addressing cognitive biases and exploring creative regulatory approaches.
  • Allow for more flexible and adaptive outcomes than traditional administrative hearings or judicial reviews.
  • Potentially lead to faster and more cost-effective resolutions of climate-related disputes, benefiting both the public and private sectors.

However, it is crucial that any compulsory mediation process in administrative law is designed and implemented in a way that ensures fairness, addresses power imbalances, and doesn’t unduly delay access to the courts if mediation proves unsuccessful.

 

 

Conclusion

Mediation, with its focus on collaboration, flexibility, and addressing underlying interests, is well-suited to resolving administrative law disputes over Scope 3 emissions in energy transition projects. By addressing cognitive biases and reframing disputes as opportunities for innovation and cooperation, mediation can assist stakeholders achieve sustainable outcomes that support environmental goals, business interests, and the public good.

The significant cost savings offered by mediation—up to 70-80% compared to traditional litigation—make it an attractive option for all parties involved in climate change disputes. These savings can be redirected towards implementing more effective environmental protection measures or supporting sustainable energy initiatives.

As climate change energy conversion continues to pose significant challenges, the ability to mediate complex administrative law disputes effectively will be crucial in turning potential threats into opportunities for positive change. By embracing mediation as a central strategy in energy transition projects and their associated regulatory processes, stakeholders can navigate the complexities of Scope 3 emissions, enhance the effectiveness of environmental regulations, and contribute to a more sustainable future—all while significantly reducing the financial burden of dispute resolution.

Moreover, by bridging the gap between international legal principles and national implementation mediation has the potential to address inconsistencies in the application of ITLOS and ICJ advisories and rulings into domestic law.  It  offers a unique opportunity to harmonize international environmental standards across jurisdictions.

About Philip Corsano

Philip is the founder of 22CG a mediation boutique which specializes in Climate Change Disputes.  Philip has worked in large scale project finance in energy globally, including Environmental Impacts  over 35 years.  He held senior position at  DFC, World Bank and private banking groups.  He is a qualified CMC mediator, was called to the Bar in 2024 and has an MBA from London Business School and a graduate  Decision Science qualification from Stanford.

 

From the Civil Mediation Council Website 25 May 2024.

 

MEDIATION AND AI.  IS IT POSSIBLE TO ANONYMISE DATA IN LARGE PREDICTIVE ALOGORITHMS TO COMPLY WITH THE REQUIREMENTS OF CONFIDENTIALITY?

 

Philip Corsano  &

April 2024

Artificial Intelligence (AI) is transforming dispute resolution in the United Kingdom in several significant ways, particularly through the use of predictive models and machine learning algorithms. These technologies have the potential to improve the way disputes are resolved, making the process more efficient, cost-effective, and data-driven. However, the use of AI in dispute resolution also raises important ethical questions, particularly around the issue of confidentiality in mediation.

One of the key ways AI is being used in dispute resolution in the UK is through the development of predictive models of human risk tolerances. These models use machine learning algorithms to analyse vast amounts of data on human behaviour and decision-making, in order to predict how individuals are likely to respond to different types of risks and uncertainties.

For example, researchers at the University of Cambridge have developed a predictive model of human risk tolerances[1] that takes into account a wide range of factors, including an individual’s age, gender, personality traits, and previous experiences with risk and uncertainty. By analysing this data, the model is able to predict with a high degree of accuracy how an individual is likely to respond to different types of risks, such as financial risks, health risks, or social risks.

This type of predictive modelling has significant implications for dispute resolution in the UK, particularly in cases where the parties have different risk tolerances and are struggling to reach a mutually acceptable agreement. By using AI-powered predictive models, mediators and other dispute resolution professionals can gain a deeper understanding of each party’s risk tolerances and tailor their approach accordingly.

For example, if a predictive model indicates that one party is highly risk-averse and is likely to be very cautious in their decision-making, the mediator may need to take a more gradual and incremental approach to building trust and finding common ground. On the other hand, if the model suggests that the other party is more risk-tolerant and is willing to take bold and decisive action, the mediator may need to be more assertive in their approach and push for a more rapid resolution.

Another way AI is transforming dispute resolution in the UK is through the use of predictive analytics and machine learning algorithms to analyse historical data and identify patterns and trends that can inform decision-making. This approach is particularly valuable in cases where there is a large volume of data available, such as in complex commercial disputes or class action lawsuits.

For example, a team of researchers at UCL London and other Universities[2] has developed an AI-powered predictive analytics tool that can analyse thousands of court decisions and identify key factors that are likely to influence the outcome of a case. By analysing factors such as the type of case, the parties involved, the legal arguments presented, and the previous decisions of the judge or arbitrator, the tool is able to predict with a high degree of accuracy how a case is likely to be decided.

This type of predictive analytics has the potential to transform the way disputes are resolved in the UK, by providing parties and their legal representatives with a more data-driven and evidence-based approach to decision-making. Rather than relying solely on intuition and experience, lawyers and mediators can use AI-powered tools to analyse historical data and identify the most effective strategies for resolving a particular type of dispute.

However, the use of AI in dispute resolution also raises important ethical questions, particularly around the issue of confidentiality in mediation. Mediation is a confidential process, where the parties are encouraged to speak openly and honestly in order to find a mutually acceptable solution to their dispute. The success of mediation often depends on the parties’ willingness to share sensitive information and explore creative solutions without fear of that information being used against them in future legal proceedings.

The use of AI-powered predictive models and machine learning algorithms in mediation may pose a challenge to this fundamental principle of confidentiality. If a predictive model is able to analyse data from previous mediation sessions and identify patterns and trends, there is a risk that this information could be used to gain an unfair advantage in future disputes or legal proceedings.  At the moment the analysis is of previous publicly available court decisions, so confidentiality is not an issue.  Whether the publicly available court information is relevant to parties mediating their own dispute will depend upon the distinctive facts of the mediating parties case.

For example, if a party in a mediation session shares sensitive information about their financial situation or business practices, and that information is then used to train a predictive model, there is a risk that the model could be used to gain insights into that party’s negotiating strategy or vulnerabilities in future disputes. This could undermine the trust and confidence that is essential for successful mediation, and could ultimately lead to parties being less willing to engage in the process.

To address these ethical concerns, it is important for dispute resolution professionals in the UK to develop clear guidelines and protocols around the use of AI in mediation and other confidential processes. This may involve establishing strict data privacy and security measures to ensure that sensitive information is not shared or used inappropriately, as well as developing transparent and accountable processes for the development and deployment of AI-powered tools.

One approach that has been suggested is the use of “confidentiality by design” principles in the development of AI-powered dispute resolution tools. This involves building privacy and security safeguards into the design of the tools from the outset, rather than trying to add them on as an afterthought. For example, predictive models could be trained using anonymized data that has been stripped of any identifying information, and the models could be designed to only provide aggregate insights rather than revealing information about individual cases or parties.

Another approach is to ensure that parties in mediation and other confidential processes are fully informed about the use of AI-powered tools, and are given the opportunity to opt out if they have concerns about the privacy or security of their information. This could involve providing clear and concise explanations of how the tools work, what data is being collected and analysed, and how that data will be used and protected.

Ultimately, the use of AI in dispute resolution in the UK has the potential to bring significant benefits in terms of efficiency, cost-effectiveness, and data-driven decision-making. However, it is important for the legal and dispute resolution community to carefully consider the ethical implications of these technologies, particularly around the issue of confidentiality in mediation and other confidential processes.

By developing clear guidelines and protocols for the use of AI in dispute resolution, and by building privacy and security safeguards into the design of these tools from the outset, we can help to ensure that the benefits of AI are realized while also protecting the fundamental principles of trust, confidence, and confidentiality that are essential for successful dispute resolution. As the use of AI in dispute resolution continues to evolve in the UK and around the world, it will be important for all stakeholders to work together to find a balance between the potential benefits of these technologies and the need to uphold confidentiality and the highest ethical standards in the delivery of legal and dispute resolution services.

 

[1] Researchers at the University of Cambridge, in collaboration with the University of Zurich and the London School of Economics, have conducted a study on the use of machine learning to predict risk preferences. The study is titled “Predicting Risk Attitudes From Personality, Time, and Money” and was published in the journal “Frontiers in Psychology” in 2022.   Reference: Kutbay, H., Sgroi, D., & Starkey, N. J. (2022). Predicting Risk Attitudes From Personality, Time, and Money. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.806915

In this study, the researchers used machine learning algorithms to predict risk attitudes based on an individual’s personality traits, time preferences, and financial literacy. The study involved 1,122 participants who completed a series of online surveys and experiments.

The researchers found that their machine learning model could predict risk attitudes with an accuracy of up to 72%, which is significantly better than chance. They also identified several key factors that were predictive of risk attitudes, including personality traits such as extraversion and openness to experience, as well as time preferences and financial literacy.

While this study does not specifically focus on the application of AI in dispute resolution, it does demonstrate the potential for machine learning algorithms to predict human risk tolerances, which could have implications for dispute resolution processes.

 

[2] The University College London (UCL) Centre for Artificial Intelligence has conducted research on using machine learning to predict the outcomes of cases in the European Court of Human Rights, with a reported accuracy of 79% (Aletras et al., 2016).

 

The University of Liverpool has developed an AI system called “CaseCruncher Alpha” that achieved 86.6% accuracy in predicting the outcomes of real cases, compared to 66.3% accuracy for human lawyers (Medvedeva et al., 2020).

 

The Jur-E project, funded by the European Commission, aims to develop an AI-based decision support system for legal professionals, including predictive analytics capabilities (Jur-E Project, 2021).

 

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