
Compliance
Customers don't need to clear documents through internal review or negotiate confidentiality before running an analysis.
For enforcers
Full merger analysis from the public record - market research, overlap discovery, vertical issues, and a consistent merit score in 10-25 minutes, across every industry.
Most state antitrust offices do not receive HSR filings. Attorneys investigate mergers they hear about and have to build the entire factual picture, one industry at a time. Even for offices that do receive filings, the volume can spike to 20-30 new matters per work day, across every sector from semiconductors to dairy farming. Merging parties have little incentive to make information easy to access, and nothing arrives automatically without asking.
Many antitrust AAGs also rotate into the role from other practice areas. The challenge isn't expertise - it's that antitrust mergers span every sector, and every new matter demands rapid orientation to a different industry's competitive landscape. Manual research slows that process and limits how many matters a small team can review carefully. Taimet is built for this reality: the same public-data research your team would do, delivered in 10-25 minutes, with structured analysis that surfaces competitive concerns that might otherwise take much longer to find.
Fast, thorough analysis from the public record - grounded in two decades of real state enforcement experience.
Taimet identifies relevant markets, researches the companies and their industries, and maps competitive overlaps - including overlaps that are not obvious from the press release or initial coverage. Work that typically takes attorneys and paralegals days of manual research is delivered in 10-25 minutes, on the same public sources your office would use.
The same structured analysis on every transaction - markets, overlap, vertical issues, prior conduct, and a 0-100 merit score that quantifies competitive concern. Consistency across matters means analysis quality does not depend on who is assigned the file, how much ground each new industry requires, or how full the docket gets.
Taimet takes only the names of the merging companies and researches everything from public sources, so you don't have to wait for the parties to negotiate and issue waivers before getting the documents you need. No data rooms, no party submissions, no curated materials. The analysis works before you have any information from the parties, and it cannot be shaped by what parties choose to provide.
Taimet includes explainers for transaction types, merger properties, HHI, and the merger guidelines - so attorneys newer to antitrust can orient quickly without starting from scratch. The structured output also serves as a practical reference for how to think through the competitive analysis of a transaction.
Taimet's analytical framework was built by Gwendolyn J. Lindsay Cooley - nearly two decades as Wisconsin's AAG for Antitrust, Chair of the NAAG Multistate Antitrust Task Force, co-lead of the trial team for the States' challenge to T-Mobile/Sprint, and part of the team that drafted the states' comments on the 2023 Merger Guidelines. The system reflects how enforcement analysis is actually done, because it was built by someone who did it.
Taimet was built and funded by its founders, not giant technology companies telling you what they think you should hear. The bipartisan analysis provides the information you need so you can match your office's enforcement style. Brown Shoe factors? Included. Only a 2010 Merger Guidelines HHI threshold will do for your office? Estimated for you. Labor markets, vertical analysis, insight into likely DOJ action? All included.
Every analysis produces a 0-100 Taimet Score™, mapped to six interpretive bands. The bands quantify the degree of competitive concern a transaction presents - from minimal antitrust issues through significant market overlap to the most serious anticompetitive effects - providing a consistent, quantitative signal across every matter your office reviews.
Score Ranges
1–25Early termination
Parties may be granted early termination of the HSR waiting period when the transaction is unlikely to substantially lessen competition.
26–50Pull and refile
The merging parties can withdraw and refile to give enforcers more time, so review often extends beyond the usual 30-day window.
51–70Second request
These deals carry a higher risk of a second request and a longer review; toward the top of the band, negotiated outcomes become more common.
71–85Remedies
A complaint and structural or behavioral remedies are plausible, with lower scores leaning toward settlement and higher scores toward litigation.
86–95Trial on the merits
Substantial antitrust effects with few likely remedies can produce a litigated trial on the merits.
96–100Adverse decision
Strong anticompetitive concerns and limited remedies may lead to trial and an adverse decision against the merging parties.
1 to 25, Early termination: Parties may be granted early termination of the HSR waiting period when the transaction is unlikely to substantially lessen competition. 26 to 50, Pull and refile: The merging parties can withdraw and refile to give enforcers more time, so review often extends beyond the usual 30-day window. 51 to 70, Second request: These deals carry a higher risk of a second request and a longer review; toward the top of the band, negotiated outcomes become more common. 71 to 85, Remedies: A complaint and structural or behavioral remedies are plausible, with lower scores leaning toward settlement and higher scores toward litigation. 86 to 95, Trial on the merits: Substantial antitrust effects with few likely remedies can produce a litigated trial on the merits. 96 to 100, Adverse decision: Strong anticompetitive concerns and limited remedies may lead to trial and an adverse decision against the merging parties.
Taimet's Founder, Gwendolyn Lindsay Cooley, served nearly two decades as Wisconsin's Assistant Attorney General for Antitrust. She chaired the National Association of Attorneys General Multistate Antitrust Task Force, leading coalitions of state and federal enforcers and collaborating with international counterparts. She co-led the trial team for the States' challenge to T-Mobile/Sprint - one of the highest-profile telecom antitrust cases in recent history.
Most AI products are built by AI researchers who consult lawyers. Taimet was built by a lawyer who spent two decades doing this work, in partnership with an engineer with two decades building production software. The reasoning encoded into the system isn't theoretical. It's hers.
Read more about Gwendolyn's background →
There is a small body of working knowledge - the kind held by people who have spent years doing this - that determines how mergers actually get analyzed. None of it is in a textbook. Almost none of it is in an LLM's training data. All of it is in Taimet.
Small-molecule drugs are in the same market only if they share an identical molecular structure and are AB-rated for each other. Biologics are in the same market only if they’re biosimilars and treat the same disease. The distinction determines whether a pharma deal looks like a horizontal overlap or a non-issue. Most analysts don’t know it. Taimet does - and applies it automatically.
Different state attorneys general challenge different kinds of mergers. Some are aggressive on hospital consolidation. Others on agriculture. Others on tech. Taimet knows which jurisdictions are likely to act on which transactions, which state-level enforcement theories apply, and which mergers will draw multistate coalitions.
Pricing-power evidence often surfaces in investor presentations. Foreclosure intent shows up in board materials. Public statements about competitive intent surface in regulatory filings before they show up in press releases. Taimet knows where to look - because the person who designed it spent two decades looking there.
These are three examples among dozens. The full set is what makes the difference between an analysis that sounds expert and one that actually is.
Taimet identifies the transaction structure automatically - horizontal, vertical, conglomerate, cross-market, cluster market, private equity, or any combination. Most real deals involve more than one structure at once. A private equity roll-up in a health services market may face horizontal overlap, vertical foreclosure concerns, and cumulative competition effects simultaneously. The system applies the right analytical frameworks for each without the user needing to classify the deal first.
Companies with overlap in both product and geographic market, competing directly in the same space.
Companies in a direct or indirect vertical relationship within the same supply chain.
An acquisition in an unrelated industry, with no economic relationship between the companies.
Multiple products sold together as a bundle (e.g., supermarket goods, hospital services).
Companies selling identical products but operating in separate, non-overlapping geographic markets.
A private equity firm acquiring a company in a market where it has no existing holdings.
Across every industry
Both federal agencies build their enforcement staffs around industry teams. A human analyst has to choose what to know deeply. That structural constraint doesn't apply to Taimet. The same system that analyzes a pharmaceutical merger - where market definition turns on molecular structure and AB-rating - analyzes a semiconductor deal, a regional hospital consolidation, or a mining joint venture. No configuration required. For the first time, the analytical breadth of the entire merger landscape is available to a single analyst.
Taimet was designed first as an initial screening tool. For enforcement offices, it delivers market research, overlap analysis, and a merger guidelines deep dive that typically takes days - in 10-25 minutes, using only public sources so you don't have to navigate the waiver process. It shows where and when to focus your investigation and what can be set aside, freeing attorneys to spend their time on the mergers that warrant deeper scrutiny.
Taimet doesn't accept uploads. We don't process party-supplied documents. We don't ingest deal materials. To run an analysis, the system needs only the names of the merging companies. This serves three purposes at once:

Customers don't need to clear documents through internal review or negotiate confidentiality before running an analysis.

No party-confidential data ever enters the system, which means none can leak from it.

Taimet can't be used as a sandbox to reverse-engineer which factors lower a score. The integrity of the analysis can't be manipulated.
Hallucination is the central problem with using general-purpose LLMs for high-stakes legal and economic analysis. The errors sound plausible. They're hard for a human reviewer to catch. And once a wrong claim enters the pipeline, downstream analysis builds on top of it.
Taimet addresses this with verification passes throughout the analysis. Citation-checking agents confirm that claims are actually supported by the cited sources. Reasoning-consistency checks compare conclusions across agents. Claims without source support are flagged. Different stages of the pipeline cross-validate each other before the report is finalized.
“When you are reviewing multiple transactions with a small team, the constraint isn't judgment, it's time. A tool like this does not replace discretion, but it immediately shows you where to focus it.”
“Reflecting the creator's experience of regulatory matters, the depth of analysis, and more importantly the consistency, is far beyond anything we've seen from general tools. It's genuinely useful for investment decisions.”
“Even as antitrust enforcement becomes less predictable, the need for a clear, consistent view of risk hasn't gone away - if anything, it's more important. Taimet is one of the few tools that brings real structure to that uncertainty. We've been early believers, and it's become a critical part of how we advise investors in live situations.”
“Taimet is the first tool I've seen that genuinely closes the gap between legal analysis and investor needs. It delivers clarity where there used to be noise, and it's quickly become indispensable to how we advise our clients.”
For enforcers

