Chapter 01 · Decision support
In-depth analysis, built to get you to a decision.
Decision support brings together three things: the authorities that govern, the practical picture of how those authorities operate, and close analysis of the decisions that matter. It is mixed to what your question requires, and delivered while the decision is still live.
More than legal research.
Research alone tells you what the rule says. That is rarely what a decision turns on. In-house counsel needs to understand how the rule is applied, who applies it, what others in the market have done, and how much room the facts leave. Decision support is built to answer those questions.
The authorities that govern
The statutes, regulations, and controlling decisions your answer depends on, taken from the source and mapped to your actual products rather than to a generic fact pattern. The analysis runs against what you actually ship, feature by feature, so you can see which features fall in scope and what each rule requires of them. It is aligned to the policy positions your company has already taken, so the work shows where the authorities support the line you hold and where they put pressure on it.
How it works on the ground
The practical picture a jurisdiction's text won't give you: how a rule is applied, how regulators and courts behave, what the local norm is. Derived from published sources such as regulator speeches, agency guidance, and practitioner analysis, chosen for the question and never taken from what the AI happens to remember. The knowledge you would otherwise buy piecemeal from counsel in every market.
The decisions, read closely
Detailed analysis of the cases that matter: what was held, how the reasoning has moved, and where your facts sit against them. What you get is an argument you can use, not a list of citations.
The traditional version of this work is slow and expensive, and it still leaves you short: weeks of research, a large bill, and at the end a document that describes the law without resolving the question you have to answer. We aim at the decision instead. Often 80–90% of the answer, quickly, is what the decision requires. Sometimes the work tells you the question warrants going deeper. That is a call too, and we will say so.
The text of a rule is not how it works.
Every in-house lawyer knows the gap. The statute says one thing; the regulator has never enforced it that way; everyone in the market has settled on a third approach. Traditionally the only way to close that gap is to engage local counsel in each jurisdiction and ask.
- How the rule is applied in practice, not only what it says on the page
- How regulators and courts in that jurisdiction have behaved in practice
- What the working norm is among others operating in the same market
- Where the gap between text and practice is wide enough to change your decision
Built from real sources, not the AI's memory.
The practical picture is assembled the same way the legal analysis is: from real, attributable material that we capture and cite, not from what the AI happens to remember about how a market works. What that material is depends entirely on the question and the jurisdiction. It might include:
- Regulator speeches and public remarks, where enforcement priorities are often signaled long before they are enforced
- Agency guidance, consultations, and published positions, what the regulator has said it expects
- High-quality legal analysis from the jurisdiction, how practitioners who work there read the same rules
- Industry association material, codes, and standards, what the market has settled on in practice
- Substantive reporting on how rules have landed, where a rule has met reality and what happened
Those are examples, not a checklist. What carries weight in one market, on one kind of question, is not what carries weight in another, and part of the work is knowing the difference.
From whatever the sources turn out to be, we derive a practical, informed view, and we label it as exactly that. A read on how the law is operating is a different thing from a statement of what the law says, and we keep the two distinct. The discipline is the same as everywhere else in the work: the inputs are real, they are cited, and you can go and read them yourself.
The questions we're built for.
We scope by the shape of the question, not by practice area. The work that suits this firm is broad, research-heavy, and decision-oriented: the answer is spread across many sources or many jurisdictions, and what you need at the end is a call you can defend.
Shape 01
Multi-jurisdiction surveys
Shape 02
Recurring questions
Shape 03
Go / no-go reads
Shape 04
Landscape scans
Shape 05
Second reads
Stop paying senior associate rates for the research.
Some matters need the full traditional treatment, and we will tell you when yours is one of them. When that happens, we do the research first and hand your firm a finished record to work from, so their hours go to strategy and judgment instead of rebuilding, at senior associate rates, work you have already paid us for. Telling you when a matter belongs elsewhere is part of the job. So is making it cost less when it does.
The hourly model isn't built for this. It runs the same full-cost process on every question, regardless of what the question requires.
The same analysis, in whatever form serves the decision.
Because the work is built on a knowledge base rather than assembled by hand each time, the form is no longer fixed by what is cheap to produce. One engagement can produce whatever the reader needs, and the substance underneath has been through the same checks.
- A memo or briefing for you, and a separate version pitched to the business or the board
- A decision tree or flow chart, where the answer is really a set of branching conditions
- A queryable agent your team can ask directly, for questions that recur
- Training material, a punchlist, a presentation, or a podcast, where that is what gets it used
Once the base is in place, new forms come quickly, so we can try one, see how it lands with the people who have to act on it, and adjust.
Bring us the question you’re asking.
If this is the shape of the work you need, we’d like to hear about it.