If you've ever built a contract report for leadership, you know the uncomfortable moment that follows:

Someone asks a simple question.
How many contracts renew this quarter.
How much revenue is tied to auto renewals.
Which agreements include a specific obligation.

And then comes the real concern.
Are we confident this is complete.

Traditional contract reporting makes you choose between speed and trust. You either move fast with rough numbers, or you slow down to manually validate everything. AI Reporting in Concord Horizon was designed to remove that tradeoff by making reporting deterministic, structured, and reliable at scale .

The limits of search when precision matters

AI Search is powerful when you're exploring your contract portfolio. It helps you investigate patterns, surface examples, and get oriented quickly.

But search, by definition, is not exhaustive.

If you are answering questions like:

• How many contracts meet this criteria

• What is the total value at risk

• Which agreements must be acted on

• What needs to be reported for compliance

You need certainty, not suggestions.

AI Reporting exists for exactly those moments. It is built for completeness, repeatability, and confidence, not exploration.

What AI Reporting is designed to do

AI Reporting in Horizon operates on structured data. That includes standard fields, custom properties, and AI extracted data points that have been normalized across your contracts.

Because of that foundation, AI Reporting can give you answers you can rely on, even when the stakes are high.

With AI Reporting, you can:

• Generate complete lists of matching contracts

• Produce accurate counts and totals

• Re run the same report over time and get consistent results

• Share outputs with confidence that nothing was missed

This is the difference between asking “what might be happening” and answering “what is happening.”

How you actually use AI Reporting

AI Reporting is not a static dashboard that someone set up months ago. It is a flexible reporting layer that reflects how your data is structured today.

In practice, that means you can build reports around questions like:

• All customer contracts signed after a certain date

• Every NDA with a specific counterparty

• Vendor agreements over a defined value threshold

• Contracts with a particular renewal or notice structure

• Agreements owned by a specific team or region

Once defined, those reports are deterministic. If a contract matches the criteria, it is included. If it does not, it is excluded. There is no ranking. No relevance scoring. No guesswork .

Why this matters for legal ops

Legal operations teams often become the source of truth by default. That means they are expected to answer questions accurately, quickly, and repeatedly.

AI Reporting changes the nature of that work.

Instead of:

• Rebuilding the same reports

• Manually checking results

• Explaining caveats every time numbers are shared

• Acting as a bottleneck for basic insight

You can rely on saved reports that stakeholders trust.

When someone asks for an update, you are not starting from scratch. You are running a report that has already been defined, validated, and agreed upon.

How AI Reporting and AI Search work together

One common mistake is treating AI Search and AI Reporting as competing features. They are designed for different stages of thinking.

You might start with AI Search when:

• You are not sure how an issue shows up in contracts

• You want to see examples

• You are exploring edge cases or anomalies

Once you understand what matters, you switch to AI Reporting to:

• Capture the criteria precisely

• Quantify impact

• Track changes over time

• Support decisions that require confidence

This workflow mirrors how people actually work. You explore first, then you measure.

Deterministic outputs build trust

One of the quiet benefits of AI Reporting is how it changes conversations.

When reports are deterministic, you spend less time debating the data and more time discussing what to do about it.

Instead of hearing:

• “Is this everything”

• “What if something was missed”

• “Can we double check that”

• “How did you get this number”

You get alignment around next steps.

That trust is hard to earn with search based tools alone. AI Reporting provides it by design.

Custom properties make reports reflect your reality

No two organizations think about contracts the same way. That is why AI Reporting supports custom properties alongside standard fields.

You can report on:

• Internal classifications

• Risk tiers

• Business units

• Contract purpose

• Any data point that matters to how you operate

Once those properties are defined and populated, they become first class inputs to reporting. You are not forced into someone else’s model of what a contract is supposed to be.

Reporting that fits into real workflows

AI Reporting is not just about generating tables. It is about making contract data usable across the business.

Reports can be:

• Saved and reused

• Exported for finance or leadership

• Shared with stakeholders

• Used as inputs to downstream workflows

Instead of treating reporting as a one off task, it becomes a stable layer of operational insight.

Where AI Reporting fits in an AI first platform

It is worth emphasizing that AI Reporting works because Horizon is an AI first platform, not a traditional CLM system with AI added later.

The same intelligence that powers extraction and understanding feeds reporting. That means:

• Data is consistently structured

• Fields behave predictably

• Reports scale as your contract volume grows

You are not stitching together multiple systems or reconciling conflicting views of the data.

What changes when reporting is reliable

When AI Reporting is in place, teams stop avoiding questions that sound hard.

They stop saying “we’ll need to look into that.”
They stop hedging answers with disclaimers.
They stop rebuilding the same analysis every quarter.

Instead, reporting becomes part of how decisions are made, not an obstacle to making them.

A clearer line between exploration and accountability

AI Reporting in Horizon does not try to be everything. It is not fuzzy. It is not conversational. It is not exploratory.

It is precise.

That clarity is its strength. By separating exploration from reporting, Horizon gives you the right tool at the right moment.

Search helps you discover.
Reporting helps you decide.

When both are available and clearly defined, contract data becomes something you can actually rely on, not just something you store.

And for teams that live with contracts every day, that difference matters more than any interface ever could.