Discover how trusted information helps legal, tax, trade and risk teams within oil and gas organizations move from reacting to compliance challenges to making defensible decisions.

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The cost of a plausible but unsupported answer

How to move from reacting to deciding

Confidence starts with the quality of information, not the speed of output

What this looks like across legal, tax, trade, and risk

Moving from reacting to defensible, connected decisions

The standard energy leaders can defend

Energy companies make legal, tax, trade and risk decisions in an environment where a plausible but unsupported answer can be expensive. Regulatory, contractual, and supply-chain changes create consequences across operations, legal entities, and jurisdictions faster than most teams can track them. As general-purpose AI spreads across the enterprise, leaders need a higher standard for work that must be accurate, traceable, and defensible, not just quick.

Survey results show how far most organizations still have to go when it comes to moving away from reactivity to proactivity. 64% of tax departments are still chaotic or reactive, and only 5% describe themselves as optimized, according to the Thomson Reuters 2026 Tax Technology Report. The detail looks different depending on where you sit in the energy value chain, tax and permitting complexity upstream, construction obligations and environmental compliance midstream, motor fuels excise and shifting regulation downstream, but the underlying problem is the same. Regulatory complexity is only increasing, resources stay constrained, and most teams are still working from disconnected systems that make it hard to see the full picture before a decision must be made.

That disconnection has a cost beyond compliance. 41% of professionals who use AI at work say they lack tools that meet fiduciary-grade standards for security, authority, and traceability, the exact standard that high-stakes energy decisions require.

Speed is not the differentiator most energy leaders think it is. A fast answer built on a guess is still a guess. What changes outcomes is whether legal, tax, trade, and risk teams can trust the information behind their answer enough to defend it later, to a regulator, an auditor, a board, or a counterparty’s lawyer. That is the standard behind Fiduciary-Grade AI™, every answer grounded in authority, protected by strong security, traceable to its source, and ready to defend, not just fast.

The data backs up why that standard matters more than raw adoption. Where legal and tax teams have a named AI strategy, 66% say AI is meeting or exceeding expectations for creating value at work. Where there is no active strategy, that figure drops to 22%, according to the Thomson Reuters 2026 AI in Professional Services Report. Simply having a strategy, one built on trusted information rather than ad hoc tool use, produces materially better outcomes.

• Legal needs to know which contracts, licenses, and entities a regulatory change affects, not just that something changed.
• Tax needs a filing position that holds up across every affiliate and jurisdiction, reconciled against real transaction data instead of a spreadsheet estimate.
• Trade needs classification and screening decisions it can trace back to the actual notice or mandate, not a best guess based on last quarter’s rules.
• Risk needs to see every contract, shipment, and joint venture a flagged counterparty touches, before that exposure becomes a bigger problem.

Each of those needs looks like a separate task. In practice, they are connected. The same underlying change usually touches more than one function at once, which means the information behind each answer must be consistent across all of them, not just accurate within its own silo.

• CoCounsel Legal grounds legal research, contract review, and due diligence in trusted legal content, so legal can act on a change instead of waiting to fully understand it.
• ONESOURCE Determination applies consistent tax logic across jurisdictions, so a filing position never depends on which affiliate happened to catch the update first.
• ONESOURCE Pagero keeps invoices and transaction data validated against local e-invoicing mandates, so trade and tax are always working from the same connected data.

Together, they turn one change into one coordinated response instead of four separate scrambles, each grounded in the same trusted information rather than four different guesses.

Confidence is not a feeling. It’s the result of knowing where an answer came from, who can review it, and whether it will hold up under scrutiny. For legal, tax, trade, and risk teams working in energy, that confidence is what turns a spur of the moment reaction into a defensible decision. That’s what good energy compliance AI is meant to deliver, not just speed, but information every team can trust enough to act on.

Learn more about Fiduciary-Grade AI and how it delivers speed, trusted information, and real value for oil and gas professionals.