Category: news and awards

That’s actually insane to even say. When we (Victoria and Allen) started this company, it was on a whim. We’d been freelance writing in the legal space, but our backgrounds certainly weren’t in law. We were just good at writing. We’d been writing for law firms for years at that point, and we knew how to put our heads down and get to work. Thus began our foray into law firm SEO.

Six years later, Victoria is a practicing lawyer in Illinois and South Carolina with her own estate planning law firm, Plan Forward Legal. Blue Seven has grown from just the two of us to a team that has included as many as 25 people, and we’ve expanded well beyond the writing services we started with.

So yeah, to say things have changed is a bit of an understatement. One thing we’re both certain of is that Blue Seven has another six years in it. A dirty dozen is a good goal to aim for, right?

We Started With the Writing

Blue Seven Content is definitely not the same company that it was in 2020. Are any of us the same since then, though?

Jokes aside, when we started this company, we only provided written content. Our knowledge of SEO was rather limited, as we’d only written content for plans made by other people. So we stuck with that. We wanted to become the best legal content writers in the business.

We grew. We landed wonderful clients, many of whom are still with us today. We’ve attended conferences and built relationships across the industry. We’ve also come a long way since 2020.

The Work Around the Words Has Grown

We now have technical SEO support alongside our writers and editors. That means we can help a client work out what needs attention on a website, put a content plan behind it, and coordinate the people doing the work. We can also revisit existing pages to improve their structure, usefulness, and connections to the rest of the site.

That broader role includes full SEO planning, local search, and link-building strategy. For businesses that need ongoing direction, our fractional SEO support brings those pieces together without asking the client to build a whole department. The scope depends on what the business needs and the team it already has.

The writing itself has expanded, too. Alongside practice area pages and blogs, we help clients develop deeper resources, newsletters, and video scripts. Our Spanish-language content and English-to-Spanish translation services help businesses reach readers who would be poorly served by an English-only site.

Our Focal Points give us room to dig further into a subject. These are deeper, research-focused pages built around a legal issue or area a firm wants to highlight. They let our writers spend more time with the details and examples that help readers understand both the topic and the firm behind the page.

We’re also helping clients turn what they know into something people can take with them: branded ebooks, checklists, and downloadable guides. The estate planning guide we helped put together for Plan Forward Legal is one example. That work brings the writing, design, and website presentation together so the finished resource is useful beyond a single visit to a page.

Some projects need design or a basic website to give that work a useful home. We can help with those pieces as well. Law firms remain a major part of Blue Seven, and we also work with other professional service businesses and marketing agencies.

Looking back at what we knew in 2020, that’s a pretty big change.

People Still Do the Work

We looked at the launch of ChatGPT with caution and stuck to our guns about our foundation: great human writing.

We’ve also kept learning about what AI means for search and for our clients. There are useful tools in the mix, and our team uses technology to support the work. Yup, we use the dreaded AI to keep things organized and to help us see trends that our brains might otherwise miss.

However, our writers, editors, and strategists remain responsible for the research, judgment, and quality of what we deliver.

A useful page still needs to answer the questions a real person has. Someone needs to understand the business behind it, check the facts, and notice when the words sound nothing like the client. That work deserves care, however someone finds the page.

Blue Seven Won’t Look the Same in Six Years

There’s plenty left for us to learn. Search will keep changing, and we’ll keep looking at where our clients need help and what our team can do well.

For now, we’re taking a moment to appreciate the people who helped us get here. To our clients, thank you for trusting us with your businesses and for coming back to work with us. To our writers, editors, and everyone who has contributed to Blue Seven over these six years, thank you for the work you’ve put into it.

We started with two people who knew how to write. We have a lot more help now, and a lot more we can help with.

Here’s to the next six!

Legal marketers have spent the last few years asking how artificial intelligence will change the way people find lawyers. OpenAI may have just given us one of the clearest answers yet.

OpenAI has introduced Astra for Law, a configuration of GPT-6 Astra designed for professional legal work. The important part of the announcement reaches beyond the arrival of another specialized AI product. OpenAI has paired its most powerful model with a dedicated Legal Search Index, custom instructions for legal analysis and writing, law-firm controls, and connections to tools lawyers already use. Those details are laid out in OpenAI’s launch announcement and its current Astra for Law Help Center.

For attorneys, the result is a new option for research, drafting, issue spotting, contract analysis, and other professional workflows. For those of us working in legal marketing, it raises a closely related question: What happens to law firm content when AI platforms can access, evaluate, and connect authoritative legal information for themselves?

At Blue Seven, we like to stay on top of changes in the legal industry and this is a big one. 

What Is OpenAI Astra for Law?

Astra for Law is a legal-work configuration built around GPT-6 Astra. OpenAI describes the offering as a foundation that law firms and legal technology companies can use to build products and workflows around their own expertise. It combines the underlying model with settings, tools, context, and instructions tailored to professional legal work.

The name users will see in the ChatGPT model picker is GPT-6 Astra Law. OpenAI also identifies the planned API model as gpt-6-astra-law. That distinction is useful because Astra for Law refers to the broader offering, while GPT-6 Astra Law is the model name attorneys will encounter inside ChatGPT.

This configuration matters because legal work depends on more than fluent writing. A useful legal system has to locate relevant authority, identify the passages that matter, evaluate whether an authority is binding or persuasive, apply the law to a particular factual record, and explain uncertainty. OpenAI’s product pairs model reasoning with legal-specific retrieval and instructions designed around those steps.

The Legal Search Index May Be the Bigger Story

The dedicated Legal Search Index is one of the most consequential parts of the launch. According to OpenAI, it searches U.S. case law, statutes, regulations, court rules, and administrative decisions across more than 230 million URLs. New sources are added daily.

The index also incorporates the Free Law Project’s CourtListener collection. OpenAI says that collection covers more than 99.9% of published U.S. precedential case law, a figure supported by Free Law Project’s CourtListener coverage documentation. OpenAI presents the index as a complement to licensed databases and specialist products, including resources offered by providers such as Thomson Reuters.

That framing deserves attention. Legal research depends on source quality, coverage, citation status, jurisdiction, and currency. A large URL count provides scale, but scale alone does not establish that every relevant authority is present or that every retrieved source will be interpreted correctly. The daily update cadence is encouraging, while the lawyer still has to confirm that the cited authority is current, controlling, and accurately characterized.

What OpenAI’s Benchmark Results Show

OpenAI tested the complete Astra for Law setup on 200 U.S. legal research questions from a private validation set of Vals AI’s Legal Research Bench. The benchmark evaluates source and passage retrieval along with whether the resulting answer meets defined research criteria.

At the highest reasoning effort for both systems, Astra for Law passed the benchmark’s overall correctness check on 54.0% of questions. GPT-6 Astra using ordinary web search passed 38.7%. OpenAI describes that difference as a 40% relative improvement. On questions focused on case law, Astra for Law found 24% more reference cases. On an audited set of target passages, it retrieved up to 54% more relevant passages from the correct opinions at the same reasoning effort.

Those results support a focused conclusion: the complete legal configuration outperformed GPT-6 Astra with web search alone on OpenAI’s selected test. Because the configuration also includes specialized instructions and settings, the comparison does not isolate the index’s contribution. The test used a private validation set, the figures were reported by the vendor, and a 54.0% pass rate leaves meaningful room for error. It would be a mistake to translate the benchmark into a universal claim that the system is 54% accurate across legal practice. Readers who want the benchmark’s broader methodology can review Vals AI’s Legal Research Bench.

What Lawyers Can Do With Astra for Law

OpenAI describes workflows across litigation, transactions, and legal drafting. A lawyer can begin with client facts, search for relevant authority, and ask the system to identify decisions with similar factual patterns. The system can also surface cases that weaken an argument, distinguish a holding from other observations in an opinion, and explain uncertainty in the available authority.

For transactional work, lawyers can ask how an exception changes the allocation of risk, compare provisions across prior deals, develop negotiation positions, or draft proposed language and client advice. The announcement also describes agreement analysis, due diligence, and capital-markets workflows built with participating firms.

A practical workflow could involve using Astra for Law to produce a research starting point, opening every cited authority, confirming the relevant passages and treatment, testing the analysis against adverse sources, and then revising the work through the lawyer’s own judgment. The same pattern applies to contracts: identify the issue, compare language and precedent, inspect the sources, and refine the final advice.

The value will often come from acceleration rather than automation. Searching, organizing, comparing, and producing a first analytical structure can happen faster. Responsibility for the legal conclusion remains with the professionals handling the matter.

Connecting AI With a Firm’s Institutional Knowledge

A law firm’s accumulated knowledge lives in old briefs, contracts, research files, negotiating playbooks, templates, and the experience of its lawyers. Making that material easier to find could be one of the most useful applications of professional AI.

OpenAI’s firm-specific examples illustrate the idea. Sullivan & Cromwell built an agreement analyzer using negotiating playbooks and selected precedents. Ropes & Gray developed a deal-diligence system that helps trace findings to source documents. Cooley’s GO Public supports IPO preparation, including filing drafts and the identification of risks for management review.

These are examples of customized work with participating firms. They should not be read as a promise that every subscribing firm automatically receives those applications.

For a smaller practice, the starting question is straightforward: What do we repeatedly research, draft, or explain, and where does our best previous work live? A searchable collection of approved templates and research may be more useful than a much larger collection of disorganized files. Permissions, source quality, version control, and attorney review determine whether that institutional knowledge can be used responsibly.

Legal Plugins and Integrations Bring the Workflow Into the Firm

OpenAI launched 26 partner-built plugins with Astra for Law. The announcement names tools such as Relativity and Clio and gives several concrete examples. With iManage, a lawyer can draft a negotiation brief in ChatGPT and save it to the matter file. Intapp can surface activity that may require a time entry. DeepJudge can bring prior deals into a comparison. Thomson Reuters is bringing HighQ matter context into ChatGPT and previewing a CoCounsel Legal connector.

The launch also includes nine community plugins from lawyers and legal engineers at LegalQuants, LECG, and Skills.Law, with 47 custom skills that practitioners can adapt or extend. OpenAI has also made ChatGPT for Word generally available, allowing lawyers to proofread, request suggested edits, and flag formatting issues inside a familiar drafting environment.

These integrations point toward a future in which the model sits inside a broader legal technology stack. Firm knowledge, document systems, licensed research, billing tools, and matter-specific permissions can all shape what the AI sees and what it can do. For law firms evaluating the product, the integration and governance questions may matter as much as raw model performance.

Trusted Access, Eligibility, and Privacy Controls

Astra for Law is initially available to selected U.S. law firms through OpenAI’s Trusted Access Program in ChatGPT and Codex. Eligibility is limited to lawyers and people working under their supervision. Firms can request early access through their OpenAI account team or OpenAI Sales, and API availability is described as coming soon.

OpenAI says eligible firms receive Zero Data Retention on the API, while ChatGPT Enterprise usage is excluded from human review by default. The company is working with Latham & Watkins on information permissions, ethical walls, client instructions, and firm oversight.

Those controls are important, but firms still need their own review. Before using any AI system with client information, a firm should evaluate its engagement terms, confidentiality obligations, client instructions, data flows, access controls, retention settings, vendor contracts, supervision procedures, and applicable professional rules. Availability through a legal program does not settle those questions for every firm or matter.

Astra for Law Still Requires Verification and Professional Judgment

OpenAI expressly tells users to review Astra for Law’s answers and cited sources before relying on them. That warning belongs at the center of any responsible discussion of the product.

A citation can exist and still fail to support the proposition for which it is offered. A case can be accurately quoted yet carry little weight in the relevant court. A statute may have changed, a regulation may have an effective date problem, or a decision may have been limited, distinguished, or overturned. The factual record can also shift the analysis in ways a generalized prompt fails to capture.

Lawyers should verify that each source exists, opens correctly, remains good law, applies in the relevant jurisdiction, and supports the specific sentence or conclusion. They should also review omitted authority, factual assumptions, procedural posture, privilege and confidentiality, and the difference between a plausible answer and advice suitable for a client.

The benchmark reinforces this point. Specialized retrieval materially improved the reported result, but the overall pass rate did not approach certainty. Better grounding reduces some risks. It does not remove the need for research competence, supervision, and judgment.

The Ethical Rules Lawyers Still Need to Consider

ABA Formal Opinion 512 applies existing professional duties to generative AI. It addresses competence, confidentiality, client communication, supervision, candor to courts, and reasonable fees. Lawyers need to understand the capabilities and limitations of the tools they use and review the resulting work.

The opinion also explains that confidentiality risks can require informed consent before client information is entered into certain systems. Disclosure depends on the circumstances; the opinion does not establish one universal disclosure rule for every AI-assisted task. For hourly billing, lawyers may charge for time actually spent, including appropriate review, rather than time the technology saved.

The ABA opinion interprets the Model Rules. Firms must also consult the rules, ethics guidance, and court requirements that apply in their jurisdictions. A legal-specific product does not transfer professional responsibility to the vendor.

What This Could Mean for Small and Mid-Sized Law Firms

A small firm may have years of valuable research and templates without a dedicated knowledge-management department. Tools that make approved work easier to retrieve could help lawyers avoid starting every assignment from scratch.

Potential applications include comparing a new agreement with an approved form, assembling a timeline from a permitted document set, locating earlier research, or identifying questions for a supervising attorney. These are possibilities to evaluate through controlled testing. Availability, cost, integration requirements, and performance will determine which are practical for a particular firm.

The initial rollout does not establish when every small firm will gain access or what its total costs will be. Firms can still prepare by organizing their documents, identifying approved sources, and deciding which workflows would benefit from assistance.

What Astra for Law Means for Legal SEO and Law Firm Content

Our marketing analysis is an inference from the direction of the technology. Astra for Law is a professional legal product. Its launch does not establish a new Google ranking factor or prove how consumer AI systems will select law firm websites.

Google’s guidance on AI features says established SEO practices remain relevant and that no special optimization is required for inclusion in AI Overviews or AI Mode. Firms should be cautious about promises that a particular format or “AI optimization” package guarantees visibility.

For legal marketers, the deeper lesson concerns information advantage. A basic page that paraphrases a statute or repeats a familiar description of a claim has less to offer when an AI system can retrieve the primary authority directly. Law firm content has to contribute interpretation, context, experience, clarity, examples, and a perspective grounded in actual practice.

Primary Sources Matter More

Legal content should connect factual claims to the best available authority. If a page discusses a Florida statute, the Florida Legislature is usually a stronger source than another law firm’s summary. Court opinions should link to reliable court or legal repositories when available. Regulations should point to the issuing agency. This approach helps readers verify the information and gives search and AI systems a clearer path between the firm’s explanation and the underlying law.

That philosophy already runs through Blue Seven’s guidance on well-researched law firm content. Astra for Law gives firms another practical reason to follow it.

Commodity Summaries Will Be Easier to Replace

The internet is full of pages that define a claim, list a few damages, add a broad call to action, and stop. AI can already produce that structure at enormous scale. A legal search index makes the underlying law easier for the model to reach.

Firms need pages with a reason to exist. That may include a lawyer’s explanation of how local judges handle a recurring issue, a careful comparison of two procedural paths, original data, a detailed answer to a question clients repeatedly ask, or examples that show how a rule works in real life. Blue Seven’s Focal Points were built around this same need for more creative, authentic, and authoritative legal content.

Experience Becomes a Content Asset

Primary authority can explain the rule. Lawyers can explain how the rule affects decisions. That practical layer may include common mistakes, evidence problems, negotiation dynamics, timelines, local procedure, case selection, and the tradeoffs clients face.

Firms should capture that knowledge through attorney interviews, matter debriefs, editorial collaboration, and regular updates. The goal is to translate real expertise into language prospective clients can understand without exposing confidential information or promising outcomes.

Write for People and for Retrieval

Clear structure helps both audiences. Descriptive headings, direct answers, accurate terminology, concise definitions, useful internal links, and well-labeled source links make a page easier to read and easier for systems to interpret. Strong pages also state the jurisdiction and relevant context, avoid vague claims, and distinguish general information from advice.

Blue Seven’s law firm SEO content guide makes the broader point that visibility now depends on more than keywords. Helpful, human-centered content supports trust, authority, engagement, and the firm’s larger digital presence.

Law Firms Need an Update Process

A publishing date does not keep a legal page current. Firms need an editorial process for reviewing statutes, regulations, court decisions, agency guidance, internal links, and citations. High-value or high-risk pages should receive more frequent review. A visible update note can help readers understand when the firm last checked the material.

The same process should cover AI-assisted content. Firms should document who researched, drafted, reviewed, and approved the page. An attorney or qualified reviewer should validate legal propositions and cited sources before publication.

Authority Is Larger Than a Single Page

A law firm’s digital authority develops across its website, attorney profiles, original insights, citations, local presence, video, media, reviews, and other credible signals. One article can help, but a connected body of useful work is more valuable than a pile of isolated pages.

That is why Blue Seven approaches legal content as part of a broader SEO ecosystem. The strongest strategy connects research, writing, internal linking, design, local visibility, distribution, and ongoing analysis. Firms that want help building that system can explore Blue Seven’s legal content writing services or contact Blue Seven Content.

What Should Law Firms Do Right Now?

1. Start with a written AI policy. Identify approved tools, permitted information, prohibited uses, and the people responsible for reviewing output. Give attorneys and staff concrete examples so the policy can guide daily decisions.
2. Inventory the firm’s knowledge. Find approved templates, current research, and useful prior work. Assign ownership and access permissions, remove obsolete versions from working collections, and respect client restrictions.
3. Choose one manageable pilot. Use public or otherwise approved material, define the task, and compare the result with a lawyer-reviewed baseline. Track time spent correcting the output as well as time saved producing it.
4. Establish a verification routine. The reviewer should check the source, quotation, jurisdiction, current status, factual assumptions, and conclusion. A polished answer still needs a traceable research path.
5. Review the website alongside the internal workflow. Start with important practice-area pages and frequently visited articles. Check whether the law is current, source links work, attorney expertise is visible, and the page answers a real client question.
6. Measure useful outcomes. For internal work, that may mean better retrieval or less repetitive drafting. For marketing, track qualified inquiries, useful engagement, search performance, and the accuracy of AI descriptions of the firm. Treat isolated AI-answer checks as snapshots because responses can vary.

Frequently Asked Questions About Astra for Law

Is Astra for Law the same as ordinary ChatGPT?

Astra for Law is a configuration for professional legal work. ChatGPT is one environment where eligible users can access it. The model picker name is GPT-6 Astra Law.

Can Astra for Law conduct legal research?

It can assist with research using a dedicated Legal Search Index. Lawyers still need to open and evaluate the cited sources, check current legal status, and apply professional judgment.

Can any lawyer use Astra for Law now?

The initial program is limited to selected U.S. firms and eligible lawyers or people working under their supervision. Firms can request early access through their OpenAI account team or Sales. Access should be confirmed for the specific organization.

Can lawyers upload confidential client information?

That decision requires review of the particular product, contract, settings, integrations, client instructions, and applicable professional duties. The existence of Trusted Access alone does not answer every confidentiality question.

Does Astra for Law replace Westlaw or Lexis?

OpenAI describes its legal index as complementary to licensed content and specialist products. Firms should evaluate coverage, citation checking, research needs, and contractual access before changing their research subscriptions.

Will Astra for Law help a law firm rank higher in search?

Its launch does not establish a direct ranking benefit. Blue Seven’s takeaway is that clear, authoritative, experience-informed content remains worth investing in as the ways people retrieve information evolve.

Legal Content Has to Give AI Something Worth Finding

Astra for Law does not provide a crystal ball for the future of Google, ChatGPT, legal research, or law firm marketing. It provides another strong signal.

The boundaries between search engines, AI assistants, professional research databases, document systems, and productivity software are getting thinner. OpenAI is building legal search, legal instructions, governance controls, and practice integrations into the same environment where professionals ask questions and create work.

For law firms, publishing more content will become an increasingly weak strategy on its own (it has been for a while now as it is). Firms need content that demonstrates what their lawyers know, explains difficult subjects clearly, connects claims to reliable authority, answers the questions prospective clients actually ask, and adds something useful to the information already available online.

That work still requires technology. It also requires lawyers, researchers, editors, marketers, and writers who understand the law, the audience, and the choices people are trying to make.

And that is where Blue Seven intends to stay.

Sources

OpenAI, Introducing Astra for Law

OpenAI Help Center, Astra for Law

Free Law Project, CourtListener Coverage

Vals AI, Legal Research Bench

American Bar Association, Formal Opinion 512

Google Search Central, AI Features and Your Website

Claude is adding watermarks to AI-generated content. 

Okay. Sounds simple enough. AI writes something. AI puts an invisible little stamp on it. We all know where it came from, and the great AI-content debate is finally solved.

Except, of course, that’s not quite how it works.

Anthropic, the company behind Claude, is introducing text watermarking designed to help identify content created by its AI models. And Claude isn’t alone. Google has already introduced similar technology with SynthID, which is actually the basis for Claude’s approach.

So, yes, AI watermarking appears to be something we’re going to hear a lot more about. But there’s a wrinkle that’s particularly interesting to those of us who write content for a living:

What happens when a human writes something and AI just helps with it?

That’s where things get messy.

So, What Is Claude Actually Watermarking?

First, Claude isn’t slipping a secret code into your document or adding an invisible “MADE BY ROBOTS” stamp in 4-point type. The technology is more sophisticated than that.

When Claude generates text, it can subtly influence its word choices in a way that creates a statistical pattern. Anthropic can later analyze text for that pattern and determine whether Claude was likely involved in producing it.

There are limitations.

According to Anthropic, the watermark works better with longer pieces of writing. It’s less effective with highly factual material where there simply aren’t that many ways to say something.

Simple grammar and punctuation corrections may not make enough changes to create a detectable watermark. But if Claude substantially rewrites a human’s work, the resulting content can carry one. Anthropic acknowledges that its detector can’t necessarily distinguish between something Claude wrote from scratch and something a human wrote that Claude then heavily edited.

Well, that’s interesting. Because those are two very different content creation processes.

Is Everyone Going to Start Watermarking AI Content?

Maybe not everyone. But Claude certainly isn’t alone. 

Google already uses SynthID to watermark some AI-generated text from Gemini. In fact, Anthropic based its approach on Google’s SynthID-Text technology. Other AI companies are also facing increasing pressure, particularly in Europe, to provide greater transparency around AI-generated material.

So we’re probably going to be talking a lot more about content provenance, which is the fancy way of asking:

Where did this thing actually come from?

That’s a reasonable question. But as watermarking becomes more common, it also means we need to get much better at talking about what “AI-generated” actually means.

What Does This Mean for Legal Content Writing?

This is where we think things get more interesting, and not just because we do a bunch of this. There has been a tendency to divide content into two neat little buckets:

1. Human-written.
2. AI-written.

We’d love for it to be that simple, but it isn’t.

Consider these three prompts:

1. “Check this article for typos.”
2. “Rewrite this article to make it more conversational.”
3. “Write a 1,500-word article about North Carolina personal injury law.”

All three involve AI, but are they really the same thing?

We don’t think so.

And watermarking may make that distinction even more important.

If your law firm is paying an agency for human-written content, you shouldn’t be afraid to ask what human-written actually means.

• Who researched the article?
• Who wrote it?
• Who decided what information belonged in it?

Was AI used to proofread it? Create the outline? Rewrite paragraphs? Generate the entire first draft? And, perhaps most importantly (looking at you, California law firms), who takes responsibility for the finished product?

That’s a much better conversation than simply asking your marketing company, “Do you use AI?”

It’s 2026. Of course we use AI.

So does your lawyer. So does your accountant. So does the person writing your emails, organizing your meetings, and probably figuring out what to make for dinner tonight.

AI Watermarking Isn’t the Same as AI Detection

There’s another distinction worth making. We’ve already been living through the age of AI detectors, and human writers have occasionally had the bizarre experience of being informed by a piece of software that they aren’t human.

That’s always fun.

AI detectors generally analyze finished writing and estimate whether it resembles AI-generated text. False positives have been a problem, particularly when people treat those estimates as proof.

Watermarking is different. Claude’s watermark is deliberately introduced during generation. Anthropic knows what statistical patterns it’s looking for because its system helped put them there. That’s potentially much more useful than asking a generic detector to guess who wrote something.

But it still doesn’t answer every question. Finding Claude’s watermark doesn’t necessarily tell you whether Claude wrote the article or whether Claude substantially edited something written by a human. And for professional content, that distinction matters.

How We Handle AI at Blue Seven

We’ve built Blue Seven around human writers.

That’s not changing.

Our writers are selected because they can write. They’re educated, trained, and matched with clients and subject matter where their skills make sense. We want them to understand the client they’re writing for. We want them to understand the audience. We want them to recognize when something doesn’t sound right.

And whenever we’re given the freedom to do it, we want a client’s content to actually sound like that client, rather than the other 7,000 articles competing for the same keyword.

None of that means we’re anti-AI. Quite the opposite.

AI is an incredibly powerful tool, and we’d be foolish to pretend otherwise. It can make research, organization, proofreading, and plenty of other parts of our work more efficient. But there’s a difference between giving a writer better tools and replacing the writer with the tools.

We think that distinction matters. When we say Blue Seven content is human-written, a human writer is responsible for the work.

Maybe We’re Asking the Wrong Question

AI watermarking isn’t going to settle the debate over AI-generated content. It might actually make it more complicated, and maybe that’s okay.

Instead of obsessing over whether some detector gives an article a 17%, 48%, or 92% chance of being AI-generated, law firms can ask something far more useful:

Who is responsible for the words representing my firm?

• Who researched them?
• Who wrote them?
• Who checked them?
• And is somebody willing to put their name behind them?

Those questions mattered before Claude started watermarking AI content.

They’ll matter long after the next AI controversy comes along. And judging by the last few years, we probably won’t have to wait very long for that one.

California just rolled out its biggest attorney advertising overhaul in decades with Senate Bill 37 (SB 37), signed in October 2025 and effective January 1, 2026. And this is not a small tweak to some fine print. It’s a structural shift in how legal marketing is regulated in California.

FYI – California is often a bellwether state for regulations in this country, so pay attention!

These rules apply to websites, landing pages, social media, intake funnels, and third-party lead generation. If your firm markets in California in any way, you’re in scope.

At Blue Seven Content, we track this stuff obsessively because we have to. We work with firms and agencies that operate in California every day. Our writers know. Our editors know. We stay current so you don’t have to babysit the State Bar website at midnight.

Let’s break down what changed and what it looks like in the real world. FULL DISCLOSURE: Some of the images we used here were made with AI. 

1. Mandatory Disclosures: No More Anonymous Ads

The most immediate change from SB 37 is transparency. The law forces every legal advertisement to clearly identify who is responsible and where they actually exist in the physical world.

Two key requirements:

• You must identify at least one California-licensed attorney, law firm, or certified referral service responsible for the ad.
• You must disclose a real office location or the attorney’s State Bar address of record.

This is aimed squarely at anonymous funnels and “virtual office” marketing operations.

Real-world example

Non-compliant version:

“Injured in California? Get help now. Free consultation. Call today.”

No attorney name. No firm name. No location. Just a phone number and a lead funnel.

Compliant version:

“Advertisement by Smith & Rivera LLP. Responsible Attorney: Maria Rivera, CA Bar #123456. Office: Los Angeles, CA.”

The difference is not cosmetic. It’s structural. The ad must tie back to a real, licensed human being and a real location.

What this means for your website

Your landing pages can’t float in a legal gray zone anymore. Even single-campaign pages need proper attribution. Footer disclosures are no longer optional polish. They’re compliance requirements.

2. Prohibited Content: The Death of Hype Marketing

SB 37 goes directly after the flashiest parts of legal advertising. The updated code bans several tactics that were common in aggressive personal injury and mass tort marketing.

Guarantees and promises

You cannot guarantee outcomes. Not subtly. Not creatively. Not with clever phrasing.

Non-compliant:

“We guarantee maximum compensation.”

Compliant alternative:

“We fight to pursue full and fair compensation under California law.”

The difference is intent. One promises a result. The other describes an effort.

“Fast cash” language

The law explicitly bans messaging around quick money.

Non-compliant:

“Cash in days. Settlement in 2 weeks.”

Compliant alternative:

“Every case timeline is different. We’ll guide you through the legal process step by step.”

Yes, it’s less flashy. That’s the point.

Misleading awards

If an award exists only because someone paid a membership fee, you can’t present it as an achievement.

Non-compliant:

“Top 10 Lawyers in America” badge purchased from a pay-to-play directory.

Compliant:

Awards based on real, objective criteria with transparent methodology. And even then, they should be presented carefully and truthfully.

Actor impersonations

California’s advertising statute treats lawyer impersonation separately from client portrayals and dramatizations. Section 6157.2(a)(3)(A) prohibits impersonating another person as a lawyer. The disclosure exception in section 6157.2(a)(3)(B) applies to client impersonations and dramatized events.

A client portrayal or dramatization must be disclosed in the advertisement. That disclosure does not cure other false or misleading content, and it should not be presented as permission to impersonate a lawyer.

The distinction matters. Have the complete advertisement reviewed before publishing.

3. The Expanded Definition of “Advertisement”

This is where a lot of firms get surprised.

The law now treats almost any communication intended to attract legal business as advertising. That includes things that used to feel informal or organic.

• Landing pages
• Intake forms
• Thank-you screens
• Social media posts
• Video storytelling (Instagram, TikTok, YouTube, etc.)
• Educational reels with a call to action

If the purpose is to get hired, it’s advertising. It’s safer for California law firms to assume just about every piece of material they put out falls under SB 37.

Real-world example

A TikTok video where an attorney tells a dramatic accident story and ends with:

“If this happened to you, call us today.”

That is advertising. It must meet disclosure rules just like a billboard or TV ad.

Even a “thank you for submitting your form” page can fall under scrutiny if it contains promotional language. The takeaway is simple: your entire funnel is now regulated space.

4. New Enforcement Power: This Is Not Just a Slap on the Wrist

Historically, attorney advertising issues lived inside State Bar discipline. SB 37 raises the stakes.

72-hour takedown rule

Under section 6158.4(b)(1), once the State Bar determines that substantial evidence of a violation exists, a licensee or certified lawyer referral service that withdraws the advertisement from electronic media within 72 hours is protected from further action by the complainant. For advertisements in other media, notice of withdrawal must be submitted to the State Bar within 72 hours of that determination, and the advertisement must be withdrawn as soon as practicable, no later than 30 days after the determination.

That clock starts ticking fast, and we hope you have control over your website or ads, or know who does. Hopefully, you can get a hold of them. 

Civil lawsuits

If the ad stays up or gets republished, consumers and competitors can sue.

This is the part firms underestimate. Your marketing is no longer just a compliance issue. It’s litigation exposure.

Statutory damages

Under section 6157.2(c), a consumer misled by a violating advertisement may seek $5,000 to $100,000 per unique advertisement or three times actual damages, whichever is greater, plus attorney’s fees and other available relief.

That claim requires a State Bar complaint, a determination that substantial evidence of a violation exists, and failure to withdraw as the statute provides, or subsequent rebroadcast without the required court finding. Those prerequisites matter. The amount is not automatically assessed for every display of an ad.

Real-world scenario

A lead-gen page promises “fast settlement cash,” stays live after notice, and continues collecting leads.

That page is now a financial liability, not just a marketing asset.

5. Third-Party Lead Generation: You Own Their Mistakes

This is one of the biggest shifts in responsibility, and why Blue Seven Content takes this law change seriously. We’re a vendor. We know our role. However, that doesn’t mean we don’t take your practice and livelihood seriously. We do.

If your marketing vendor violates SB 37, your firm is on the hook. Legally, it’s treated as if you wrote the ad yourself.

That includes:

• Lead generation companies
• Law firm SEO agencies
• Paid ad vendors
• Funnel builders
• Social media contractors

Real-world example

A lead vendor runs a non-compliant California injury funnel using banned “quick cash” language. They send you the cases.

Under SB 37, the State Bar doesn’t care that a vendor wrote it. Your name is attached to the legal work. Liability follows the lawyer.

Vendor oversight is now part of compliance.

The Part Nobody Says Out Loud: Lawyer-to-Lawyer Enforcement

There’s a reality in legal marketing that most attorneys understand but rarely say publicly.

A large portion of advertising enforcement doesn’t start with regulators hunting the internet. It starts with other lawyers.

Competitors watch each other. Firms report ads they think cross the line. Sometimes it’s about consumer protection. Sometimes it’s about leveling the playing field. Sometimes it’s just frustration with aggressive marketing that feels unfair.

SB 37 quietly raises the stakes on that dynamic.

When violations carry statutory damages and civil exposure, the incentive to report non-compliant ads increases. A questionable landing page is no longer just annoying to competitors. It can be framed as a legal advantage.

Real-world scenario

Firm A sees Firm B running ads that promise “cash in days.” Under the new rules, that language is explicitly banned.

Firm A doesn’t have to outspend Firm B. They can report the ad.

Now Firm B is facing a takedown clock, possible litigation, and reputational risk, all triggered by a competitor who was paying attention.

This isn’t paranoia. It’s the ecosystem adjusting to stricter rules.

The practical takeaway is simple: compliance isn’t just about avoiding State Bar scrutiny. It’s about avoiding becoming an easy target in a competitive market where everyone is watching everyone else.

The Bottom Line

SB 37 is not anti-marketing, but it does force us to pay close attention to the rules.

California is pushing the industry toward transparent, accountable, reality-based advertising. The firms that adapt early will be fine. The firms that cling to hype funnels and anonymous landing pages are taking on legal risk they probably don’t realize exists yet.

If your marketing touches California at all, now is the time to audit your disclosures, messaging, and vendor relationships. The era of “we’ll fix it later” advertising is over.

If you felt a disturbance in the SEO force recently, you were not imagining it. Adobe, the software giant behind everything from PDFs to giant Photoshop files, announced its intention to acquire Semrush in a 1.9 billion dollar all-cash deal, according to Adobe’s newsroom. Marketers everywhere collectively paused mid-keyword research and said, “Wait, Adobe is buying Semrush? Is that even legal?”

Well, yes. Regulators still have to approve it, but, probably. But it is also a sign of something bigger. A shift in how brands are discovered, how marketers measure success, and how search itself is evolving because of AI.

This article breaks down what is actually happening, why Adobe wants Semrush, how it affects Adobe’s expanding empire (Adobe, I mean, Adobe?!), and what it means for you and the future of digital marketing.

What We Know So Far

On November 19th, Adobe announced its plan to acquire Semrush for roughly 12 dollars per share according to The Verge. That represents about a 77 percent premium over Semrush’s November 18th closing price. Semrush’s stock immediately rocketed because that is what happens when a software giant shows up with a suitcase full of cash.

The deal is expected to close in the first half of 2026, pending regulatory approvals and a shareholder vote. Semrush’s founders and key shareholders, representing over 75 percent of voting power, already agreed to support the deal according to Reuters. That makes the vote largely a formality.

If approved, Semrush will join Adobe’s Digital Experience segment and become part of Adobe Experience Cloud.

This is not a random acquisition. It is a strategic move.

Why Did Adobe Buy Semrush?

The short answer is visibility, data, and the future of search.

The longer answer is that Adobe wants to own the full customer journey. It’s not surprising to see more big companies work hard to get people and businesses into their exclusive networks. That’s where the money is. 

In 2025, that journey often doesn’t begin on a homepage or even a Google search. It begins with AI. People are asking questions through AI assistants like ChatGPT, Gemini, Perplexity, and Alexa. They rely on agentic systems to make decisions for them. Agentic AI is in it’s infancy, and as that grows, legal marketing will shift into another phase of online credibility.

Adobe has been positioning itself as a customer experience powerhouse, but it did not have a dedicated search visibility intelligence platform. Especially one tuned for how AI affects discovery.

Semrush gives Adobe competitive search intelligence, backlink and authority data, keyword research capabilities, SERP insights, and developing tools for generative engine optimization. Adobe explains this vision directly in its announcement. Adobe specifically wants Semrush to help brands understand how they appear across search engines and AI-generated surfaces.

Which brings us to the next part.

An Adaptation to AI and Agentic Search

Adobe cited that traffic from generative AI surfaces to retail websites has increased more than 1200 percent year over year according to the Adobe press release. Consumers are no longer typing long-tail queries. They are asking AI assistants for recommendations.

Instead of “best running shoes for flat feet,” people are saying:

“Pick a shoe I can run a 5K in this weekend. Make sure it does not destroy my arches. Also, size 11.”

This is agentic AI. Search is becoming automated decision assistance. Search is becoming part of your everyday discussions. Your AI assistant is here, you just have to learn to use it gradually over time. 

The GEO debate

Now let us address GEO, or Generative Engine Optimization. The term is controversial, especially if you peruse the writing and SEO communities on LinkedIn. Some marketers argue that GEO is a distinct discipline. Others say calling GEO new is like calling a hot dog a taco. You can try, but you are going to upset people.

Here is the real answer. AI-generated answers are becoming part of the discovery funnel. Whether it is a brand recommendation, a product summary, or your competitor being name-dropped by an LLM, AI placements matter.

Semrush has been building tools to measure that. Adobe wants it. And this acquisition means:

• GEO and SEO intelligence in one place (I still argue they’re very similar)
• Adobe reporting backed by Semrush visibility data
• Unified tracking across search engines and AI answer surfaces

The future of visibility is not just SERPs. It is SERPs, feeds, AI assistants, and background recommendation systems. It’s your social media presence and your video presence. SEO is everything is what we used to say, and we mean it. On and offline marketing efforts are all SEO in their own way.

What This Means for Digital Marketers

SEO, content marketing, PPC, and social teams are all feeling pressure to adapt to AI-driven discovery. Adobe buying Semrush reshapes how visibility is measured and how people think about search. I wouldn’t even be surprised if we see some more acquisitions coming in the SEO space, but we’ll see.

This is what it means for your day-to-day work.

1. SEO and GEO will start to merge, whether I like the term or not

Teams will not maintain two separate mindsets forever. It is far more likely that:

• SEO becomes structured optimization for search engines
  
• GEO becomes optimization for AI answer models
  

Together, they will form a broader idea of visibility optimization. I hope we just call it something like “Intent Optimization” to blend the two. Adobe buying Semrush is the first major step toward that unified visibility stack.

2. New KPIs are coming for your screens

Get ready for metrics like:

• Share of AI answers
• LLM recommendation visibility
• Assistant-driven conversion paths
• Multi-surface visibility scores
• “Where does my brand appear when someone talks to ChatGPT? CoPilot?”

Adobe already owns analytics, personalization, audience data, creative tools, and journey orchestration. Adding Semrush lets them extend measurement to AI-generated surfaces, too.

3. Pricing, bundles, and lock-in are coming

This acquisition will absolutely bring:

• New Adobe bundles
• Higher pricing tiers (we’ll have some holdovers for a bit)
• Pressure for enterprise teams to standardize on Adobe
• More long-term vendor lock-in

Semrush will likely remain available as a standalone tool at first. But Adobe did not spend nearly 2 billion dollars just to leave it alone. Expect deeper integration over the next two to three years.

4. Independent SEO tools will respond

Ahrefs (my current one to watch), Moz, Sistrix, Similarweb, and others will watch closely. Expect them to double down on:

• Transparency
• Technical depth
• Independence from enterprise ecosystems
• Flexible pricing (and hopefully more AI insight access at lower tiers)
• More emphasis on raw data access

This is not the end of independent SEO tools, but it is the beginning of a more divided market. In fact, I personally think Ahrefs has some room to run here. 

What Agencies Should Be Thinking About Right Now

1. Prepare clients for reporting changes

Reports focusing only on rankings and backlinks are going to feel outdated fast. Start introducing GEO concepts now so clients are ready.

2. Evaluate which clients are already in Adobe ecosystems

If a client uses Adobe Analytics, Adobe Target, Marketo, or Experience Manager, adopting Semrush as their visibility engine becomes very likely.

3. Start building AI-conscious content frameworks

This is where Blue Seven shines. We write the hell out of some legal pages. Our legal SEO writers are some of the best in the business. They can write content that focuses on clarity, usefulness, and structure.

Content briefs will need:

• Direct answers
• Clear brand authority signals
• Structured formatting
• Data-backed claims
• Schema where relevant
• Language that AI models recognize as authoritative (which, right now, lends itself to be tricked by “best” language)

However, it’s pretty evident that LLMs tend to cite brands that communicate value clearly, consistently, and confidently.

What In-House Marketing Leaders Should Expect

Leadership may become very interested in AI visibility. In fact, if you’re a law firm marketing director or a FCMO for law firms, you already spend a lot of time talking about this with leadership. Reporting will expand. Tool budgets may shift toward integrated stacks. KPIs will change. CMOs will ask questions like:

“Where do we appear in ChatGPT?”

“How does AI discovery affect our pipeline?”

This is an opportunity to reset how your organization models visibility and measures success.

So Is This Good or Bad for Marketers

Like most big acquisitions, the answer is yes. It is both. It depends. Yeah, something along those lines. 

Good

• Unified data
• Better visibility tracking
• Stronger AI search intelligence
• Cross-channel measurement
• Less tool chaos for enterprise teams

Bad

• Prices will rise, if not right away, over time
• Vendor lock-in will increase
• Semrush may lose some scrappy independence
• Smaller competitors may be squeezed (unless they merge)
• Marketers must adapt to AI-driven search faster than expected

Adobe is signaling that the future of brand visibility will live at the intersection of SEO, GEO, content, analytics, and AI assistants. Oh, something we’ve been talking about with out idea of an SEO Ecosystem.

Final Take – A New Era of Brand Visibility

Adobe did not buy Semrush for old-school SEO. The company bought it because the idea of search is shifting, as most of you reading this already know. Everything about how brands get discovered and remembered is changing.

For brands, visibility is no longer limited to page one. It includes:

• AI citations
• Assistant recommendations
• Conversational visibility
• AI-driven shopping and decision flows (where applicable)

For marketers, it means speaking both SEO and GEO fluently, whether we love the term GEO or not. If we hate it, be ready to explain why you don’t like the term in a calm manner. GEO is what people are hearing, and when they come to you for advice, they don’t want to be treated like idiots. 

If you want help navigating the shift or building content that performs in an AI-first world, Blue Seven has your back.

OpenAI has instituted some new rules for ChatGPT regarding legal and medical advice. On October 29, 2025, it was announced that the world’s most well-known LLM will no longer offer tailored legal, medical, or financial advice. 

If you’re anything like us and have been around search for a while, you probably thought, “Yeah, YMYL,” harkening back to Google’s treatment of topics dealing with a person’s money or life (Your Money, Your Life). We’ll walk through what changed, what searchers will notice, how this shapes law-firm operations, and how all of it connects to the ongoing YMYL (Your Money Your Life) standards that guide Google’s understanding of trustworthy content.

What the OpenAI Policy Changes Are and What They Actually Mean

OpenAI reorganized and clarified its usage policies for models like ChatGPT. The most important section for law firms is the explicit guidance around legal and health topics. The company states that AI systems can provide general information but cannot deliver tailored advice that substitutes for a licensed professional.

For the legal world, this is not new, but it is now spelled out in a way that removes ambiguity for users, developers, and businesses that wrap services around AI models.

Here are the practical takeaways:

• AI can educate but cannot instruct someone on what they personally should do in a legal dispute, estate matter, custody issue, criminal charge, or any situation where outcomes have real legal consequences.
• Any platform using OpenAI’s models for legal services must include licensed attorney review for personalized guidance.
• OpenAI will continue to allow legal summaries, explanations of law, definitions, and general knowledge about legal processes.
• Models will be more likely to add disclaimers or redirect users to attorneys for anything that requires professional judgment (we sense a strong opportunity for ads coming).

For law firms and legal marketers, this is not a barrier. It is clarity, and clarity creates opportunity. Firms that expect transparency in AI tools can build workflows that comply with these rules while still benefiting from AI’s efficiency.

What Searchers Will Experience When Asking Legal or Health Questions

People using AI for legal questions will notice a few shifts in how answers appear and how far the model is willing to go. These include:

More explicit disclaimers

Users will see more prefaces that clarify the model is not a lawyer or medical provider. This is now part of the expected pattern and signals higher safety standards.

Steering toward education instead of direction

Questions like “What should I do if my landlord violated the lease?” will produce responses that outline general steps, legal principles, or typical processes rather than a prescriptive action plan.

Encouragement to involve a professional

Searchers may see referrals to attorneys, legal aid clinics, or government resources for individualized guidance. Here comes the ads we sensed.

More accuracy checks in responses

The model is more conservative with confidence, reducing subtle errors or speculative content in areas where the stakes are high.

Less room for loopholes

Attempts to bypass limitations by rephrasing questions tend to lead back to general guidance. This creates a more consistent safety layer for users.

Overall, the user experience becomes more aligned with how legal content is supposed to work (and what we’ve done for years with SEO content): helpful, broad, clear, and pointing toward qualified professionals for anything case-specific.

How These Updates Influence Law Firm Operations and the Role of Attorneys

Law firms using AI internally will need to demonstrate attorney involvement in any client-facing output. This does not mean AI becomes less useful. In fact, the updates formalize how firms should use AI:

• AI drafts, the attorney reviews.
• AI summarizes, the attorney validates.
• AI assists with communication, the attorney signs off.

This supports ethical rules that already require lawyer review of work performed by nonlawyers. AI tools simply become part of the remote support staff. Firms that embrace this approach gain speed and reduce administrative overhead without sacrificing compliance.

On the client side, law firms may see more questions about AI-generated information. Clients often bring AI summaries to consultations. These summaries improve attorney efficiency because they shorten the path toward understanding the client’s concerns. Well, that and they may also be a pain in the ass sometimes. 

OpenAI’s clarifications help attorneys position themselves as vital decision-makers rather than just providers of information. In other words, this should help bolster YOU as the experienced legal mind someone should seek.

What These Changes Mean for Law Firm Marketing Strategies

This is where the biggest practical shift will happen. As AI becomes both more cautious and more central to how people consume information online, attorney-led marketing becomes even more valuable.

Educational content will outperform generic content

Since AI will avoid giving case-specific instructions, searchers will still look to law firm websites for local, detailed, jurisdiction-specific explanations.

Google rewards this with higher rankings because it meets YMYL content standards.

Authority signals matter more

Because AI is increasingly careful, users place more trust in:

• Named authors who are licensed attorneys
• Clear citations to statutes and government resources
• Local knowledge
• Practical explanations grounded in real experience

This raises the bar for law-firm blogs, practice area pages, and FAQ content. In fact, many of our clients have taken advantage of Focal Points, which is a step above basic SEO. If you’re interested, go check them out. —–> Focal Points.

Marketing language needs to match user expectations

Searchers may arrive with partial understanding shaped by AI summaries. That means law firm content must:

• Validate what the searcher already knows
• Clarify what applies specifically in your location
• Provide safe, accurate, and actionable next steps within ethical rules
• Emphasize the importance of human review

Firms that explain responsible AI use will win trust

A growing number of clients want to know whether their attorney leverages AI. Firms that publicly outline how AI assists with efficiency, but not judgment, gain a competitive advantage. My vet’s office uses AI to record the conversations and fill out the pet’s charts. They explained how they use AI to me and made it clear how it helps them treat the animals with higher quality care. I’m fine with it, especially because they explained it to me.

This is powerful content for newsletters, blog posts, and “About the Firm” pages. Embrace AI by acknowledging clients’ doubts and explaining why and how you use it. 

AI will reshape the SEO moonscape

Because “general information” is easier for AI to generate, the pages that rank will be those with:

• Location-specific depth
• Attorney involvement
• Real examples
• Unique frameworks or insights
• Clear statements of professional oversight

In other words, AI pushes law firms toward higher-quality publishing. That is good for SEO and good for clients. It should also send signals that using AI only to generate content is a bad idea.

How All of This Connects to Google’s YMYL Standards

Google’s YMYL framework has governed legal SEO for years, even before AI became mainstream. Legal content is part of the Your Money Your Life category because it affects a person’s rights, safety, finances, and future.

Under YMYL:

• Content must demonstrate clear expertise
• Authors must be credible
• Claims must be accurate and sourced
• The site must be trustworthy
• Any advice must be safe

OpenAI’s new rules mirror that philosophy. Both systems now prioritize safety and credibility in high-impact domains.

The overlap between OpenAI’s policy and Google’s YMYL standards means that:

• Law firms that emphasize attorney review will gain more visibility
• Content grounded in state law (like Illinois statute citations) will outrank vague summaries
• Well-structured legal explanations will become even more valuable
• Trust signals, such as attorney bios and experience, matter more than ever

Lawyers who understand this dynamic will be able to connect with searchers in a way AI cannot. The result is stronger authority, better rankings, and more qualified leads.

The Bottom Line (for now?)

OpenAI’s policy updates did not remove legal information from AI tools. They clarified the boundaries that always existed and aligned them with ethical and safety standards in law. Searchers will still use AI to educate themselves, but they will rely on law firms to interpret laws, apply judgment, and make decisions.

For law firms, the moment calls for:

• Transparent use of AI
• High-quality educational content
• Clear demonstration of attorney involvement (find you some really good legal writers)
• Strong alignment with Google’s YMYL standards

Firms that adapt early (hopefully you already have been) will gain visibility, trust, and clients in a moonscape where AI shapes expectations but cannot replace licensed professionals.

Written by Blue Seven Content Co-Founders – Allen Watson and Victoria Lozano, Esq.