Case study: Intapp (INTA)

The Ropes & Gray Effect: How a Single Press Release Moved INTA 16.91%

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On May 28, 2026, Intapp announced that the law firm Ropes & Gray had selected its DealCloud and Celeste platforms. Bekodia analyzed the release during regular market hours at 14:38 UTC, before the full one-session move had unfolded. By the next session's close (May 29), INTA returned 16.91% with 16.66% excess return vs. SPY and a 4.92σ z-score on Bekodia's next-day bracket.

This case study walks through the catalyst, the realized price move, and how excess return vs. SPY and z-scores help separate company-specific follow-through from broad market movement.

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Significant market movements are not always random noise. Sometimes they follow identifiable catalysts that investors can study in context. At Bekodia, we analyze these catalysts, providing data-driven insights that help investors understand why stocks may move the way they do.

Today, we're diving into a case study involving Intapp (INTA), a company specializing in software for professional services firms. On May 28, 2026, a press release hit the wires, and what followed was a sharp, statistically unusual move in INTA's stock price.

The Headline Story: Ropes & Gray Chooses Intapp

On May 28, 2026, at 14:11 UTC (10:11 AM ET), news broke that the prestigious law firm Ropes & Gray had selected Intapp's DealCloud and Celeste platforms. This wasn't just any customer win; it was a validation of Intapp's technology, particularly its foray into "agentic AI" for lawyers.

The market's reaction was swift. By the close of the next trading session (May 29, 2026), Intapp (INTA) shares had climbed 16.91%. For investors tracking the stock, this was a significant, single-session event. But how significant was it, really?

The Numbers: A Closer Look at INTA's Move

Let's break down the data to understand the magnitude of INTA's move:

The 16.91% total return is what most investors would see on their brokerage statements. The 16.66% excess return vs. SPY shows how much INTA outperformed the broad market benchmark during the same period. In other words, INTA's move was not just a reflection of a rising market.

But perhaps the most striking number here is the 4.92σ z-score.

Decoding the "Sigma": What Does 4.92σ Really Mean?

"Sigma" (σ) represents a standard deviation, a measure of how much a stock's move typically deviates from its average for a given horizon. Think of it as a ruler for volatility.

• 1σ: The move is one standard deviation from the average historical move for this setup.
• 2σ: The move is farther from the usual range and deserves more attention.
• 3σ: This is meaningfully unusual. For INTA's next-day bracket, Bekodia uses 3.0σ as the threshold for statistical significance.

Now, consider INTA's 4.92σ z-score. This means INTA's next-day excess return vs. SPY was nearly five standard deviations away from its historical average for that specific time bracket. Real market returns are not perfectly normal, so the z-score should not be read as an exact probability. The important point is simpler: this was an extreme outlier in Bekodia's historical baseline for INTA.

The Bekodia system uses a threshold of 3.0σ to identify statistically significant next-day reactions. INTA's 4.92σ move crossed that threshold by a wide margin. It was a highly unusual move for INTA at this horizon and a strong reason to review the catalyst behind it.

Bekodia's Edge: Context When It Matters

The press release titled "Ropes & Gray selects Intapp DealCloud and Celeste to power firmwide growth and bring agentic AI to its lawyers" was published on May 28, 2026, at 14:11 UTC (10:11 AM ET). Bekodia analyzed it during regular market hours at 14:38 UTC (10:38 AM ET). The full one-session move was then measured from May 28 to May 29.

Bekodia's system, designed to monitor and analyze real-time financial news from sources like Finnhub, flagged this announcement during the trading session. This allowed the analysis to precede the measured next-day price movement and provide early context around the catalyst.

The Catalyst: What Bekodia's Analysis Saw

Bekodia's analysis didn't just flag the headline; it processed the content to understand its implications. Here's how the system interpreted the news:

Press Release Title: "Ropes & Gray selects Intapp DealCloud and Celeste to power firmwide growth and bring agentic AI to its lawyers"

Bekodia's Reasoning:

"Intapp announced that the prestigious law firm Ropes & Gray selected its DealCloud and Celeste platforms for firmwide growth and AI integration. This major customer win validates Intapp's software in the legal sector, potentially driving future adoption and contributing to long-term recurring revenue growth for the company. The continued adoption by large professional services firms confirms the strategic value of Intapp's offerings, suggesting sustained business expansion. The event timing is unclear from article text, which reduces confidence in trade setup."

The system assigned a BULLISH sentiment with a confidence score of 6 (on a 1–10 scale). The confidence was deliberately moderate, partly because the article's timing implications were ambiguous. That nuance matters: a strong realized move does not mean the signal was high-conviction at the time.

Investing Concept: Understanding Excess Return vs. SPY

This case study is a good opportunity to explain a useful investor-standard concept: excess return vs. SPY.

When a stock's price moves, it's influenced by two main factors:

1. General market movements: The overall direction of the market (e.g., if the S&P 500 is up, many stocks tend to rise with it).
2. Company-specific news: Events directly tied to the company, such as earnings, product launches, or, in INTA's case, a major customer win.

Total return captures both. For INTA, it was 16.91%.

Excess return vs. SPY compares the stock's return to a broad market benchmark over the same period. It is calculated by subtracting SPY's return from the stock's total return.

• Excess Return vs. SPY = Stock's Total Return - SPY's Return

For INTA, the 16.66% excess return vs. SPY tells us that nearly all of its 16.91% gain was above the market benchmark during the period following the Ropes & Gray announcement. This helps investors separate broad market movement from company-specific follow-through. Formal event studies may use beta-adjusted abnormal return, but this simpler benchmark comparison is easier to interpret for educational case studies.

A Data-Driven Framework

How can a data-driven investor use this type of analysis?

1. Early catalyst identification: Bekodia's system flags relevant news during the trading session, giving investors timely context around a potential market-moving event.
2. Quantifying significance: The z-score (4.92σ in INTA's case) provides a statistical measure of how unusual the realized move was. This helps investors distinguish routine fluctuations from unusually large follow-through.
3. Qualitative and quantitative synthesis: Bekodia combines qualitative reasoning (the "why" behind the news) with quantitative metrics such as confidence, z-score, and excess return vs. SPY.
4. Structured follow-up: This analysis is not about providing "buy" or "sell" signals. Instead, it helps investors decide what deserves further research, what assumptions need checking, and how much volatility surrounded the event.

In conclusion, the INTA case study illustrates how a single press release, when analyzed with the right tools, can become a useful market-learning event. By combining timely news detection, natural language analysis, and statistical measures like excess return vs. SPY and z-scores, Bekodia helps investors cut through noise and evaluate how unusual the market response became.