Ross Paolino

81% of in-house legal teams use AI for legal work...but only 55% of law firms do, according to a recent independent survey Ironclad commissioned.   That 26-point gap tells you change is happening. I've been talking to many GCs and legal ops leaders about how they're integrating AI into their work streams. What I've found is that, while skepticism remains, the once-prevailing concern that AI would replace us is waning. Some critics still don't believe AI is worth their time but the majority of folks I talk to have found success leveraging AI as an augmentation tool. The latter is the case for my team. We've found AI has so far yielded the greatest value by: *Shifting contracts from static documents to data sources that can enable business growth and enable us to move quickly. *Optimizing contract redlining. What used to take us hours now takes minutes. The system runs the contract against my team’s playbooks, applies redlines, and adds notations and citations for why the changes were made. A human in the loop reviewer can then review those changes, validate that they are correct (or modify further) and leverage AI to draft a summary of the edits before shipping off to the next person in the chain. *Improving our data hygiene. We ask AI to help categorize and clean metadata—tracking exactly what terms are contained in what contracts. This context matters. It enhances our agent’s ability to understand our data and create output with smarter analysis to queries that get at helping us better understand our obligations and our risk profile. *Increasing our velocity and reducing burnout by tempering the sheer manual labor of contract processing. If you're not using AI yet, my advice is to start small. Identify tasks that play to LLMs' strengths (pattern matching, data processing) and have low associated risks. Set measurable benchmarks to evaluate what’s working and not. AI will not replace you. And if leveraged properly, it won’t fail you either. 

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Dynamic and algorithmic pricing isn’t just a tech buzzword anymore — it’s now firmly on regulators’ radars. My Data360 team members, Kathleen McGee and Erich J. Kaletka, did an excellent writeup indicating that state authorities are moving quickly in this area: 1. California AG Rob Bonta has launched a sweep of “surveillance pricing” practices under the CCPA, targeting businesses that use personal data to set individualized prices without clear disclosure. This goes beyond privacy compliance into consumer protection and fairness enforcement. 2. New York’s Algorithmic Pricing Disclosure Act — the first of its kind in the U.S. — is now in effect, requiring companies that use consumers’ personal data to set prices with algorithms to show a conspicuous disclosure: “THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA.” Failure to comply can result in significant enforcement action. Taken together, these developments signal a turning point: dynamic pricing strategies that rely on personal data are no longer just an internal business optimization — they are a regulatory and enforcement priority. Businesses that deploy algorithmic or personalized pricing should review their pricing models, disclosures, and data practices now to avoid surprises. Please review the full alert from my team members below.

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Check out this Perkins Coie Update for insights on the wave of state laws addressing algorithmic price-fixing. California, New York, and Connecticut are leading the charge, and companies using algorithmic pricing tools should take note of the new compliance landscape. This Update provides a practical comparison and actionable steps for navigating these changes. #Antitrust #AlgorithmicPricing #BusinessLitigation

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#California just sent the clearest signal yet that partial opt-out compliance is not compliance at all. On February 11, the California AG announced a $2.75 million #CCPA settlement, the largest in the law's history, against a major streaming company for failing to ensure that consumer opt-out requests were shared across brands, devices, and ad-tech partners. The core theory here is if your business uses cross-device identity resolution to maximize advertising value, understand that regulators now expect you to use that same infrastructure to honor opt-outs. Opt-outs have to follow the identity graph. This action also framed incomplete opt-outs as consumer deception under California's Unfair Competition Law, not just a technical CCPA violation. That significantly expands the exposure for any organization that labels a control an "opt-out" when it does not fully stop sale and sharing. If your organization operates multiple brands under a shared account ecosystem, relies on third-party ad-tech partners alongside internal ad infrastructure, or supports connected TV or device-native environments, this settlement is a direct message about your compliance posture. My colleagues and I published a detailed alert with the key allegations, operational takeaways, and recommended next steps. Check out the alert below. #CCPA #DataPrivacy #PrivacyCompliance #AdTech #GlobalPrivacyControl #TechLaw

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❗Jam City Settlement in the Superior Court of California: Enforcement of CCPA Requirements for Mobile Apps- This marks the sixth enforcement action by Attorney General Rob Bonta under the CCPA, highlighting the focus on ensuring companies comply with CCPA requirements and provide consumers with easy-to-use, consumer-friendly mechanisms to opt out of the sale or sharing of personal data, rather than burying the process in complex documentation or requiring request emails. Opt-out mechanisms should be straightforward and readily accessible Importantly, the settlement also emphasizes protecting children’s personal information, ensuring that mobile apps implement sufficient privacy safeguards for minors. These enforcement actions send a clear message: mobile gaming companies must prioritize consumer privacy, especially for younger users. ➡ Read my full article here: https://lnkd.in/gm-EKTBB Link to the press release provided in the comments #CCPA #PrivacyLaw #DataPrivacy #TechLaw #ConsumerPrivacy #CyberLaw #MobileApps #ChildrenPrivacy #PrivacyCompliance #AttorneyGeneral #CaliforniaLaw #DataProtection

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