Creating a Compelling Argument in the BP Trial: Halliburton’s Closing

Merlin Search Technologies - Creating a Compelling Argument in the BP Trial: Halliburton's Closing by Dr. William Webber and John Tredennick
Image: John Tredennick, Merlin Search Technologies with AI.

[EDRM Editor’s Note: The opinions and positions are those of John Tredennick and Dr. William Webber.] 


In our recent articles exploring how generative AI can transform trial preparation, we demonstrated how Large Language Models (LLMs) could analyze complex trial materials to generate sophisticated closing arguments. Our first piece, “Understanding GenAI Response Limits: What Every Legal Professional Should Know,” introduced techniques for overcoming traditional LLM length limitations. We followed this with an analysis of TransOcean’s closing argument, showing how AI could process vast amounts of testimony and trial exhibits to construct compelling arguments. Creating a Compelling Closing Argument in the BP Trial: Part One–TransOcean’s Closing.

This article continues our exploration by examining Halliburton’s perspective in the BP Deepwater Horizon Phase One liability trial. As another key defendant in this landmark case, Halliburton’s position offers a distinct viewpoint that demonstrates the versatility of GenAI in crafting nuanced legal arguments from different angles.

The Context

For those unfamiliar with Halliburton’s role in the Deepwater Horizon disaster, some context is helpful. Halliburton served as the cementing contractor for the Macondo well, providing specific technical services under BP’s direction. When the well suffered a catastrophic blowout on April 20, 2010, resulting in eleven deaths and unprecedented environmental damage, Halliburton faced significant liability alongside BP and TransOcean.

Leveraging GenAI for Multiple Perspectives

Using our DiscoveryPartner platform, we processed the same trial materials used for TransOcean’s argument but focused the analysis on Halliburton’s position. This demonstrates a key advantage of GenAI in trial preparation—the ability to quickly analyze vast amounts of evidence from different strategic angles.

This demonstrates a key advantage of GenAI in trial preparation—the ability to quickly analyze vast amounts of evidence from different strategic angles.

John Tredennick and Dr. William Webber, Merlin Search Technologies.

1. Building the Outline for Halliburton’s Closing Argument

Our first step was to create an outline for Halliburton’s closing argument. Here was the outline Sherlock AI created as a starting point (with links to relevant transcript sections and exhibits):

I. Introduction A. Context of the Deepwater Horizon Incident (April 20, 2010)

  1. Tragic loss of 11 lives and significant environmental damage (BP_00001618 §3)
  2. Multiple parties involved in complex deepwater drilling operation
  3. Importance of understanding roles and responsibilities B. Overview of Halliburton’s Limited Role
  4. Contracted solely for cementing services
  5. Operating under BP’s direction and specifications

II. Limited Role and Responsibility A. Scope of Halliburton’s Involvement

  1. Limited to cementing services under BP’s direction (BP_00001611 §3)
  2. No control over well design or operational decisions (BP_00000002 §17)
  3. Dr. Beck’s expert testimony confirming Halliburton’s limited role (BP_00001391 §3) B. BP’s Ultimate Control and Authority
  4. BP as designated operator under MMS regulations (BP_00001611 §3)
  5. Expert testimony confirming BP’s responsibility for all drilling operations (BP_00001391 §1)
  6. BP’s authority to accept or reject Halliburton’s recommendations (BP_00001611 §3)

III. Compliance with BP’s Specifications A. Adherence to BP’s Well Construction Plan

  1. Expert testimony from Nathaniel Chaisson confirming cement job was executed as planned (BP_00000037 §26)
  2. Dr. Beck’s analysis confirming Halliburton followed BP’s specifications (BP_00001391 §3)
  3. BP acknowledged proper execution of cement job (BP_00000002 §6) B. Communication of Risks
  4. Jesse Gagliano’s testimony about recommending 21 centralizers (BP_00000039 §22)
  5. Expert testimony confirming warnings about severe gas flow potential (BP_00000009 §15)
  6. Documentation of BP ignoring Halliburton’s recommendations (BP_00000039 §25)

IV. BP’s Critical Failures A. Well Design and Planning

  1. Dr. Beck’s expert analysis of BP’s reckless operational decisions (BP_00001391 §2)
  2. Expert testimony on BP’s failure to: a. Use recommended number of centralizers (BP_00000018 §14) b. Conduct cement bond log (BP_00000018 §14) c. Properly identify hydrocarbon-bearing zones (BP_00001611 §2) B. Operational Decisions
  3. Frederick Beck’s testimony on BP’s misinterpretation of negative pressure test (BP_00000043 §28)
  4. Expert analysis of BP’s rushed completion due to budget concerns (BP_00000041 §29)
  5. Dr. Bourgoyne’s testimony on BP’s failure to maintain safe drilling margins (BP_00000045 §14)

V. TransOcean’s Responsibility A. Equipment Maintenance and Safety

  1. Expert testimony on BOP maintenance issues (BP_00000020 §34)
  2. Analysis of failed emergency systems (BP_00000045 §35)
  3. Calvin Barnhill’s testimony on inadequate testing procedures (BP_00000026 §34) B. Operational Failures
  4. Expert testimony on crew training deficiencies (BP_00000040 §31)
  5. Bill Ambrose’s testimony on failure to follow well control procedures (BP_00000036 §34)
  6. Expert analysis of delayed response to kick indicators (BP_00000046 §9)

VI. BP’s Profit-Driven Decisions A. Cost-Cutting Measures

  1. Dr. Robert Bea’s testimony on BP’s ability to implement proper safety measures (BP_00000003 §19)
  2. Expert analysis of BP’s Variable Pay Program prioritizing cost savings (BP_00001402 §3)
  3. Dr. Beck’s testimony on BP’s compromised safety decisions (BP_00001391 §2) B. Management Culture
  4. Expert testimony on BP’s history of safety issues (BP_00001402 §3)
  5. Analysis of BP’s failure to learn from previous incidents (BP_00001402 §3)
  6. Evidence of systemic safety failures (BP_00000001 §12)
  1. Court’s determination of Halliburton’s minimal 3% fault (BP_00001391 §2)
  2. Expert testimony supporting BP’s 67% responsibility (BP_00001391 §2)
  3. Analysis supporting Transocean’s 30% responsibility B. No Gross Negligence Finding
  4. Expert testimony distinguishing Halliburton’s conduct from BP’s gross negligence (BP_00001391 §2)
  5. Analysis of BP’s reckless conduct (BP_00001391 §3) C. Indemnification Agreement
  6. Legal analysis of valid and enforceable agreement with BP (BP_00000859 §2)
  7. Expert testimony on limitation of Halliburton’s financial exposure

VIII. Conclusion A. Restatement of Key Points

  1. Expert testimony supporting Halliburton’s limited role
  2. Analysis confirming BP’s ultimate responsibility as well operator
  3. Evidence of BP’s profit-driven decisions and safety failures B. Request for Court’s Consideration
  4. Expert support for fair assessment of responsibility
  5. Recognition of Halliburton’s limited role based on evidence
  6. Acknowledgment of BP’s primary responsibility for the disaster

2. Building the Argument Section by Section

After establishing our outline, we systematically built each section of the closing argument using DiscoveryPartner’s AI capabilities. For each, we initiated three kinds of AI-based searches (semantic, AI keyword and ML classifier) across our trial record, allowing the system to identify and analyze the most relevant testimony and exhibits. The platform’s sophisticated AI engines identified approximately 700 highly relevant document sections for each argument component, evaluating these materials for both factual support and strategic value to Halliburton’s position.

The platform’s sophisticated AI engines identified approximately 700 highly relevant document sections for each argument component, evaluating these materials for both factual support and strategic value to Halliburton’s position.

John Tredennick and Dr. William Webber, Merlin Search Technologies.

What makes this approach particularly powerful is how it synthesizes information across multiple sources, identifying patterns and connections that support key legal arguments. The AI then weaves these elements together into coherent, well-supported narrative sections that maintain consistent themes while integrating specific evidence from the trial record.

To keep this article at a decent length and to show the results of our work, here are the first two sections of Halliburton’s proposed closing argument. While we only offer this as a good first draft, you can quickly see how Sherlock AI has synthesized evidence from a broad swath of testimony and exhibits and constructed a compelling narrative about Halliburton’s limited role and BP’s ultimate responsibility. You can access the complete 15-page GenAI generated closing argument here.

I. Introduction

A. Context of the Deepwater Horizon Incident

On April 20, 2010, the Gulf of Mexico became the site of one of the most catastrophic industrial disasters in history. Eleven lives were tragically lost, and unprecedented environmental damage occurred when the Deepwater Horizon rig experienced a catastrophic blowout (BP_00001618 §11). The complexity of this case cannot be overstated, as it involves multiple parties operating in an intricate deepwater drilling operation nearly 5,000 feet below the Gulf’s surface (BP_00001371 §2).

The evidence presented during this trial reveals a disturbing pattern of decisions and actions by BP that directly led to this disaster. The Macondo well project was significantly over budget and behind schedule, with costs reaching approximately $150 million – a staggering 160% over the original budget (BP_00001402 §3). This financial pressure created what BP’s own documents reveal was an atmosphere of rushed decision-making and compromised safety protocols.

BP’s management fostered a culture that consistently elevated production and profit over protection and safety (BP_00001402 §22). Their internal documents show that while targeting a 20% cut in cash costs from 2008 to 2010, they simultaneously compromised critical safety measures (BP_00001402 §3). This wasn’t mere cost-cutting – it was a systematic degradation of safety protocols that would have catastrophic consequences.

The evidence shows that BP relied on outdated risk management manuals that focused solely on economic factors while neglecting health, safety, and environmental impacts (BP_00001402 §5). Their “Risk Register” was outdated and failed to account for evolving risks during the well’s lifecycle. Most critically, they ignored warnings from experts like Professor Bea about the need for robust risk identification and management systems.

B. Overview of Halliburton’s Limited Role

Within this complex operation, Halliburton’s role was strictly limited. As confirmed by Dr. Frederick “Gene” Beck’s expert testimony, Halliburton was contracted solely for cementing services and operated entirely under BP’s direction and specifications (BP_00001611 §3). The HAL/BP Agreement explicitly defined these boundaries, making it clear that Halliburton had no authority over well design or operational decisions (BP_00001391 §1).

The evidence demonstrates that Halliburton’s involvement was confined to specific cementing services, with all major decisions requiring BP’s approval. For example, when Halliburton’s representative Jesse Gagliano recommended using 21 centralizers for optimal cementing, BP unilaterally decided to use only 6, demonstrating their complete control over operational decisions (BP_00001391 §12).

Joe Keith, a Halliburton employee monitoring well conditions, faced significant challenges in communicating with Transocean employees regarding flow-out and pressure differentials. Despite his repeated calls to address anomalies, he was dismissed by the assistant driller (BP_00000002 §10). This incident clearly illustrates the limitations placed on Halliburton’s ability to influence critical safety decisions.

Your Honor, this introduction sets the stage for understanding the fundamental issue in this case: while multiple parties were involved in the Deepwater Horizon operation, BP maintained ultimate control and authority over all critical decisions and operations. The evidence will show that BP’s systematic failures in safety management, risk assessment, and operational oversight directly led to this catastrophic event.

II. Limited Role and Responsibility

Let me address the critical issue of Halliburton’s limited role in this operation and BP’s ultimate authority and control. The evidence presented during this trial definitively establishes the boundaries of Halliburton’s involvement and BP’s comprehensive responsibility for the decisions that led to this tragic incident.

Dr. Frederick “Gene” Beck’s expert testimony confirms what numerous documents and witnesses have established – Halliburton was contracted solely for cementing services and operated entirely under BP’s direction and specifications. This wasn’t merely a contractual formality, Your Honor. The HAL/BP Agreement explicitly established clear boundaries that defined every aspect of our involvement, ensuring that Halliburton had no authority over well design or operational decisions.

Let me provide a concrete example that illustrates these limitations. When our representative Jesse Gagliano recommended using 21 centralizers for optimal cementing, BP unilaterally decided to use only 6. This wasn’t a collaborative decision or even a negotiation – it was BP exercising its absolute authority to reject technical recommendations from its contractors, even when those recommendations directly impacted well safety.

Consider also the testimony of Joe Keith, a Halliburton employee who monitored well conditions. Despite his repeated attempts to raise concerns about flow-out and pressure differentials, he was dismissed by the assistant driller. His experience vividly demonstrates how Halliburton’s ability to influence critical safety decisions was severely constrained by BP’s command structure.

Your Honor, BP’s control over this operation was absolute and comprehensive. As the designated operator under MMS regulations, they bore ultimate responsibility for all aspects of the drilling operation. Their management made numerous critical decisions that prioritized cost and speed over safety. They failed to conduct proper bottoms-up circulation before cementing, canceled a scheduled cement bond log that could have identified problems, and implemented an inadequately designed temporary abandonment plan.

BP’s approach to safety was systematically flawed. They failed to implement their own Operations Management System, ignored process safety risks, and failed to conduct effective audits. Most troublingly, they removed key safety leadership just before the blowout. Their control extended to critical equipment decisions, where they modified the Blowout Preventer without proper risk assessment, reducing the lower annular’s pressure rating from 10,000 psi to 5,000 psi. They failed to address overdue BOP maintenance identified in audits and even instructed Transocean not to change BOP elastomers between jobs, contrary to established safety protocols.

The evidence reveals significant failures in BP’s training oversight. Well control training was inadequate, particularly regarding BOP operation in emergencies. Key personnel like Martin Breazeale, responsible for training Well Site Leaders, admitted not providing training on BOP use. Even high-ranking officials like David Sims admitted knowing as little about the BOP as a “galley hand.”

Perhaps most disturbing, Your Honor, is BP’s approach to risk management. They relied on an outdated risk management manual focused solely on economic factors, failed to incorporate lessons learned from prior incidents, and ignored critical advice from experts. When confronted with safety concerns, their engineers’ responses were shocking. One dismissed these concerns as “clutter,” while another stated “who cares, it’s done, probably be fine.”

The pressure to complete the well on time and within budget was evident throughout the operation. The project was significantly over budget and behind schedule at the time of the blowout. This financial pressure led BP to make a series of decisions that compromised safety – using fewer centralizers than recommended, not waiting for cement to cure properly, rushing critical testing procedures, and ignoring warning signs of impending disaster.

Most critically, Your Honor, the evidence shows that BP had over 30 minutes to take necessary actions after receiving warnings about well control issues, yet they did nothing. This wasn’t mere negligence – it was willful misconduct driven by a corporate culture that prioritized profit over safety.

The liability for this disaster must rest with BP as the operator who maintained ultimate control and made the critical decisions that led to this catastrophe. They had the authority to accept or reject recommendations, they had control over all operational decisions, and they had the responsibility to ensure safe operations. The evidence shows they failed in all these aspects, with tragic consequences.

While our role was limited, the evidence demonstrates that Halliburton executed its responsibilities with the utmost professionalism. Not only did we comply fully with BP’s specifications, but we also went above and beyond in attempting to prevent this disaster through clear communication of risks.

The opening sections effectively established several key themes that run throughout Halliburton’s defense:

  • Clear delineation of Halliburton’s limited contractual role
  • Documentation of BP’s comprehensive control over operations
  • Evidence of BP’s systematic prioritization of cost over safety
  • Specific examples of BP overriding contractor safety recommendations

3. Stitching the Sections Together

The final step was to combine the sections into a final closing argument. This is a simple step that is accomplished by pasting the output from the LLM and pasting it into a Google document. Most LLMs output their answers in a Markdown format which you can read about here. One handy feature in Google docs is the paste from Markdown option. 

Thus, the creation of Halliburton’s closing argument followed the same systematic approach we outlined in our previous articles:

  1. Document Integration
    1. Compiled complete trial repository including transcripts and exhibits
    2. Organized materials for AI analysis using DiscoveryPartner
    3. Promoted document sections relevant to Halliburton’s defense strategy
  2. AI Analysis
    1. Deployed multiple LLMs to analyze trial materials
    2. Used sophisticated prompt engineering to focus on Halliburton’s perspective
    3. Generated initial argument structure based on key defense themes
  3. Evidence Integration
    1. Automatically linked citations to source documents
    2. Verified factual assertions against trial record
    3. Maintained coherent narrative flow while integrating technical details

We hope these examples will help demonstrate several key benefits of using GenAI for trial preparation:

  • Rapid Analysis: The system processed thousands of pages of trial materials in minutes.
  • Multiple Perspectives: Generated distinct arguments for different parties using the same evidence.
  • Comprehensive Coverage: Identified and integrated relevant evidence across the entire trial record.
  • Cost Efficiency: Produced sophisticated first drafts at a fraction of traditional costs.

The Path Forward

Our work with the Halliburton closing argument further validates the transformative potential of generative AI in trial preparation. By successfully analyzing the same trial materials from a different strategic perspective, we’ve demonstrated that this technology can adapt to the nuanced requirements of complex multi-party litigation while maintaining rigorous analytical standards.

By successfully analyzing the same trial materials from a different strategic perspective, we’ve demonstrated that this technology can adapt to the nuanced requirements of complex multi-party litigation while maintaining rigorous analytical standards.

John Tredennick and Dr. William Webber, Merlin Search Technologies.

The ability to rapidly generate sophisticated legal arguments from different viewpoints represents a significant advancement in trial preparation. Using platforms like DiscoveryPartner, legal teams can now explore multiple strategic approaches in the time it traditionally took to develop a single argument. This efficiency doesn’t come at the cost of quality – rather, it allows lawyers to focus their expertise on refining and perfecting arguments built on comprehensive analysis of the complete trial record.

This technology is ready for deployment in real-world litigation. Our success in generating compelling arguments for both TransOcean and Halliburton demonstrates that GenAI can effectively handle the complexity of major litigation while adapting to the specific needs of different parties. The key lies in combining AI’s analytical power with human legal expertise, creating a synergy that enhances both efficiency and effectiveness.

In our next article, we’ll examine how GenAI can assist in constructing arguments for plaintiffs in the BP trial, showing how this technology can serve both sides of the courtroom. The future of legal practice lies in this thoughtful integration of artificial and human intelligence, where technology amplifies rather than replaces professional judgment.


Assisted by GAI and LLM Technologies per EDRM GAI and LLM Policy.

Authors

  • John Tredennick

    John Tredennick (JT@Merlin.Tech) is the CEO and founder of Merlin Search Technologies, a cloud technology company that has developed Sherlock®, a revolutionary machine learning search algorithm. Prior to founding Merlin Search Technologies, Tredennick had a distinguished career as a trial lawyer and litigation partner at a national law firm. With his expertise in legal technology, he founded Catalyst in 2000, an international e-discovery search technology company that was later acquired by a large public company in 2019. Tredennick's extensive experience is evident through his authorship and editing of eight books and numerous articles on legal technology topics. He has also served as Chair of the ABA's Law Practice Management Section.

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  • Wiliiam webber

    Dr. William Webber (wwebber@Merlin.Tech) is the Chief Data Scientist of Merlin Search Technologies. With a PhD in Measurement in Information Retrieval Evaluation from the University of Melbourne, Dr. Webber is a leading authority in AI and statistical measurement for information retrieval and ediscovery. He has conducted post-doctoral research at the E-Discovery Lab of the University of Maryland and has over 30 peer-reviewed scientific publications in the areas of information retrieval, statistical evaluation, and machine learning. Dr. Webber has nearly a decade of industry experience as a consulting data scientist for ediscovery software vendors, service providers, and law firms.

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