You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
EXPresso - What is happening with AI inside law firms,... | Facebook

What is happening with AI inside law firms, consulting firms, accounting firms, and other businesses built around specialized expertise is starting to...

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EXPresso
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﻿
Solstice

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Ella Joy Meir

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What is happening with AI inside law firms, consulting firms, accounting firms, and other businesses built around specialized expertise is starting to get much more interesting than who has access to the latest model.
Yesterday, Reuters reported that more than 50 corporate general counsels are backing a new venture fund specifically investing in legal, regulatory and compliance technology. Its first investments are already in AI companies.. Today, legal AI company Harvey announced another $550 million funding round at a $15.5 billion valuation - the money is on the move.
Let’s take a step further and look at the numbers that are coming from the people actually buying these services. Thomson Reuters found that 78 percent of corporate clients now consider AI-enabled improvements from the firms they work with essential; only 6 percent say most, or all of their providers are actually delivering them. At the same time, 74 percent of lawyers, accountants, tax, compliance and other knowledge professionals surveyed are already using AI several times a week. More than a third admit to using AI tools their organization has not approved.
If we look at this, it seems that access to AI is quickly becoming the least interesting part of the conversation and that the bigger questions are starting to hit the actual business model.
If a law firm can complete work in two hours that previously took ten, what should the client pay? If every consulting firm has access to similar models, where does differentiation come from? If AI handles more research, drafting and analysis, what becomes more valuable from the person sitting across the table from the client?
We’re not saying anything groundbreaking with these statements, but probably the things that were difficult to automate in the first place.
Judgment, context, accountability, relationships and deep understanding of the problem.
There is also a management issue here that I think a lot of companies are underestimating. If employees are already using AI, whether the organization has a strategy or not, waiting is not really a strategy.
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</reference>

<statements>
1. PricewaterhouseCoopers (PwC) executed a $1.0 billion investment program in the United States, supplemented by localized commitments such as €150 million in Germany and over £100 million in the United Kingdom.
2. PwC's Strategic Investment Horizon is Multi-year deployment.
3. PwC's Flagship Technology & Model Partners include Microsoft Azure OpenAI, Harvey AI, and OpenAI.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.