Conflicts News — Morgan Lewis Manages to Maintain Meta IP Matter, Conflicts Lawsuits Against Am Law 200 Firm, Lateral Partner Conflict Clearance Considerations in Class Action,


David Kluft asks: “Can I get an advisory ruling from the court on whether hiring a new associate will create a conflict of interest?” —

  • “In a MT putative class action case, the lead plaintiff’s counsel wanted to hire a lateral partner who, while at another firm, had represented one of the defendants in the same case.”
  • “Plaintiff’s counsel submitted a motion to the court seeking assurance that the hire would not create a disqualifying conflict of interest.”
  • “The defendant opposed on the grounds that there was no real justiciable controversy, since nobody had been hired yet. The court agreed, nothing that the ‘the advisory opinion rule is the oldest and most consistent threat in the federal law of justiciability.’ Therefore, ‘it would not be appropriate for the Court to offer its views on potential conflicts that could arise’ from the hire.”
  • “However, the court warned that the lateral partner already had access to sensitive information, that all the lawyers had obligations under Rule 1.9 (former client conflict of interest), and that the court expects ‘strict compliance’ with their ethical obligations. In other words: maybe don’t make the hire until the case is over.”
  • Details: here.

Conflict Lawsuits Against Am Law 200 Firms Emerge in Law.com Radar Roundup” —

  • “A raft of lawsuits targeted Am Law 200 firms in March, with several cases filed by former clients leveling conflict claims… Law.com Radar surfaced 36 new lawsuits naming Am Law 200 firms as defendants in March, most of them alleging legal malpractice, with a smattering of other types of cases bringing some remarkable allegations. The platform also detected 18 new lawsuits filed by Big Law firms as plaintiffs, the majority of which allege unpaid legal fees.”
  • “Among the conflict cases, Venable and firm partner Christopher Moran were sued in a $3.5 million complaint on March 10 in state court in Los Angeles. Plaintiffs Ryan Wert and his business Brightstar Partners Insurance Services allege that when Moran drafted business agreements for Wert and three other potential business associates related to tax and insurance services, Moran told Wert that his interests were protected and that no conflict of interest existed. The suit, brought by Dyer Law Firm, claims that, after a dispute arose among Wert and the others, Wert discovered that the others’ interests had been prioritized over his and that the contracts contained a provision that was illegal. Neither Moran nor Venable responded to requests for comment.”
  • “Dickinson Wright and partner Jeffrey Kass were hit with a conflicts lawsuit brought by Empire Auto Protect, alleging that Kass simultaneously represented both Empire and CarShield, which are competing automotive repair plan companies, without Empire’s consent. The suit, filed by Axenfeld Law Group on March 25 in New Jersey federal court, claims that the law firm then used Empire’s confidential information to file a trademark infringement suit against Empire on CarShield’s behalf. Neither Dickinson Wright nor Kass responded to a request for comment.”
  • “Katten Muchin Rosenman and partners Charles Harris, Tye Klooster and Louis Laski face a conflicts suit that alleges the firm’s joint tax and estate planning representation of plaintiff Susan Glikin and her former husband resulted in the improper transfer of ‘tens of millions of dollars’ in marital property to a trust that gave her ex-husband effective control. The case, brought by law firm Bruck McInerney, was filed in Illinois state court on March 13. Neither the firm nor the partners responded to a request for comment.”
  • “Foley Hoag and partner Kristyn DeFilipp were sued in a case brought by Torrey Ah-Tye, who alleges that DeFilipp represented her and Meenta Inc., a lab equipment company, in defending a wage lawsuit against the company that settled. The suit claims that DeFilipp failed to inform Ah-Tye that one of Foley Hoag’s lawyers was employed by or was an officer of the company at the same time. The case, brought by Phillips, Silver, Talman, Aframe & Sinrich in Massachusetts state court on March 19, claims that as a ‘mere employee’ of Meenta, Ah-Tye should have been told that she needed independent counsel in defending the wage case. A Foley Hoag spokesperson responded to a request for comment from DeFilipp: ‘Foley Hoag has never represented this individual and believes these claims are entirely without merit.’”

Morgan Lewis Dodges DQ in Meta Smart Glasses IP Suit” —

  • “Solos primarily argues that Morgan Lewis’s prior representation of Kopin is ‘substantially related’ to this litigation and creates a conflict of interest that requires disqualification under Mass. R. Prof. C. 1.9 because Morgan Lewis owes confidentiality obligations to Solos as Solos was a business division within Kopin, Morgan Lewis’s client, before the spin-off.”
  • “Morgan Lewis counters that Solos has never been its client and that, in any case, there is no substantial relationship between Morgan Lewis’s corporate work on the 2019 transactions and the current patent-infringement lawsuit.”
  • “Here, Morgan Lewis’s representation of Kopin during the 2019 transactions does not require Morgan Lewis’s disqualification in this litigation under Mass. R. Prof. C. 1.9, for two reasons. First, Morgan Lewis’s counselling of Kopin did not create an attorney-client relationship between Morgan Lewis and Solos because (1) ‘[t]he assignment of a patent does not transfer an attorney client relationship,’ …  and (2) ‘courts have held that ‘representation adverse to a former client’s affiliate is proper unless there is a high degree of operational commonality and financial dependence between the affiliated entities,’’ Evolutionary Intel., Inc. v. Facebook, Inc., No. 12-cv-00784, 2013 WL 12140485, at *14 (E.D. Tex. July 3, 2013) (citing GSI Com. Sols., Inc. v. BabyCenter, L.L.C., 618 F.3d 204, 210–11 (2d Cir. 2010)).”
  • “Neither Morgan Lewis’s representation of Kopin before the spin-off of Solos—a spin-off during which the newly formed Solos was represented by separate counsel—nor Kopin’s current minority ownership interest in Solos transforms Solos into Morgan Lewis’s client for purposes of Mass. R. Prof. C. 1.9”
  • “Second, even if an attorney-client relationship existed between Morgan Lewis and Solos, there is no substantial relationship between any former representation by Morgan Lewis of Solos and its current representation of Oakley, Inc., Luxottica of America, Inc., and EssilorLuxottica USA, Inc. Morgan Lewis’s work on discrete corporate-law issues during the 2019 transactions appears entirely unrelated to the issues in the instant patent-infringement dispute.”



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The internet is changing and so is the way we search and find information. The trick behind all the search queries is nothing but a web crawler.

Yes, the machine that searches the web, retrieves data, and assists search engines such as Google in sorting the information into searchable indexes. Search engines would be nothing without crawlers. But do you know there are different types of crawlers lately?

Well, traditional crawlers like Googlebot have been using rule-based systems over the years to retrieve information and sift through links and draw results to user queries. This method is still effective, although there are a few limitations it comes with.

Let’s now introduce the new age of AI-powered crawlers, a next-generation genus of bots, based on artificial intelligence and machine learning. These crawlers do not just search the sites; they comprehend the sites. Through semantics, tone and context, they are going above and beyond in the web searching landscape.

Here in this blog, we are going to discuss the differences between traditional and AI crawlers, alongside how they will transform search in the future and share practical tips to make your content the best to thrive in today’s digital world.

So, let’s get started!

What are Traditional Crawlers? Traditional Crawlers

The old-fashioned crawlers, namely Googlebot and Bingbot are based on the following principles, scan, copy and index. They operate similar to librarians and index the information by use of HTML structures, metadata, and keywords.

    • Process: They search links, analyze code, and store page information in huge search databases.
    • Reliability: Suits well with static web sites and organized content.
    • Weakness: Problems with changing websites, with dynamic components, such as JavaScript-bulky applications, and subtle context.

As an example, a traditional crawler might not pick up the product information in a product page when it rewrites the class names or changes the structure of the product page, causing indexing errors. This has led the industry to smarter and AI-assisted means.

What Are AI Crawlers?

AI Crawlers

Intelligent crawlers go beyond bot to be more of an interpreter. Through the use of natural language processing (NLP), computer vision, and machine learning, they are able to comprehend content in a manner that can replicate human understanding.

    • Context Awareness: AI crawlers do not only read the text; however, they define meaning, tone, and purpose.
    • Flexibility: AI crawlers will be able to identify and retrieve suitable information even when a site alters the structure of the site.
    • Multimedia Intelligence: They are capable of processing video, audio and picture, and are therefore much more intelligent than bots that are rule-based.

Just think of a crawler that does not just read a blog post but knows whether it is a product review, a thought-leadership article or a how-to guide. This is the hope of AI-support crawling.

The Rising Dominance of Googlebot.

According to recent stats from Cloudflare, Googlebot is still dominating although AI crawlers are on the rise. Googlebot grew by 96 percent in May 2024-May 2025, with highs in April 2025 of 145 percent of the traffic of May 2024.

This spike was accompanying the introduction of AI Overviews by Google, which added generative answers to search results. The combination of old-style crawling with the use of AI improvements is the future of Google as the hybrid is establishing preconditions of the coexistence of the two systems.

How Does Traditional Search Work?

To value the changes, one should go back to the way the search engines used to operate:

Crawling/ Indexing– Robots search through internet sites and archive copies of pages on servers.

Ranking Algorithms– The ranking of pages depends on the relevance of the key words, back links and the freshness of the content.

Displayed Results– The Results display ads, organic links, snippets, and panels.

AI-Driven Search: A New Era

AI based search engines extend past keywords. They can:

    • Know natural language – responding to complex conversational questions.
    • Provide direct responses – eliminating the necessity to browse through several results.
    • Individualize findings – customize suggestions according to the behavior of the user.
    • Manipulate multimedia – The analysis of videos and podcasts, as well as voice recognition.

ChatGPT, Google Gemini, and Microsoft Copilot are the members of Large Language Models that can transform the search into a conversation instead of a list of search results.

AI Crawlers vs Traditional Crawlers: Key Differences

1. Understanding User Intent

Traditional Crawlers: Search query by a key word and scratch the surface without necessarily realizing what the query entails.

AI Crawlers: This is the next level, whereby the search engine goes beyond the keyword and interprets user intent, semantics and context to deliver even more useful information.

2. Scalability and Efficiency

Traditional Crawlers: Are able to construct a mass of data, but they can create duplicates or irrelevant records as they are not very aware of the context.

AI Crawlers: Smart filtering and prioritization of content, which creates a leaner and more efficient indexing which is more relevant.

3. Real-Time Adaptation

Traditional Crawlers are not good at keeping up with new structure of websites or newer technologies being introduced and thus require manual updating.

AI Crawlers): Learn and adapt in real time and recognize patterns and evolve without human interaction.

4. Content Depth and Quality

Traditional Crawlers– These are typically employed to access visible text and links, and they might not be concerned with multimedia, user-created and interactive content.

The AI crawlers use multimedia, dynamic content and even sentiment to produce a more refined view of the entire quality of pages.

Sharing Quick Wins for Crawlability

Technical SEO is essential even with the further development of AI. The following are fast fixes to increase crawlability:

Important pages should be served with server-side rendering (SSR).

    • Keep HTML lean, semantic and clean.
    • Enhance page speed- sluggish sites are conquered.
    • Provide clear, descriptive headings and titles (H1 -H3).
    • Blocking AI crawlers in robots.txt or llms.txt is not advisable.
    • Publicize verifiable factual, well formatted and prompt information.

Conclusion: Preparing for the Future of Indexing

The future of search lies at the intersection of traditional and AI crawling. While rule-based crawlers remain essential, AI-powered crawlers bring a new level of intelligence, adaptability, and context awareness.

For brands, this means rethinking SEO strategies and embracing AI Optimization (AIO) alongside Generative Engine Optimization (GEO). By preparing content for AI-driven indexing today, businesses can ensure long-term visibility, authority, and discoverability in tomorrow’s search ecosystem.

Stay updated with all the latest blog topics, here with us!

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