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Top 1,000 Questions Clients Are Most Likely to Ask About Personal Injury Cases and Attorneys on ChatGPT and Other LLMs
Did you know that over 100 billion questions have been asked on the internet? We curated 13.8 billion high-quality questions to build our research corpus.
We analyzed this massive question stream to identify over 600,000 questions related to the legal space, and from those, curated the top 1,000 questions most relevant to personal injury cases and attorneys.
Some of our law firm clients are using these to create high performing website FAQs, publish pages that match real client intent, and improve how they show up in AI Chat.
What will you use it for?
This research is grounded in data and led by ex Google DeepMind researchers and a professor at the Wharton School.
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Built by Bodhium Labs, an applied AI research lab focused on AI-mediated discovery and decision journeys.
How Leading Law Firms Use These Questions
- Intent breakdown included. Understand the mix across question types so you can prioritize what to publish first:
- Foundational Understanding
- Claim Eligibility and Liability
- Timeline, Deadlines, and Process
- Compensation and Case Value
- Execution and Representation Decisions
- Foundational Understanding
- Grouped into publish-ready categories so you can build pages and articles in logical clusters. Ideal for content planning, intake enablement, and conversion lift.
- Core definitions and basics
- Wrongful death standing and eligibility
- Fault, liability, and partial blame rules
- Case value, damages, and what counts
- Process timelines and litigation milestones
- Deadlines and statute of limitations
- Insurance coverage and adjuster dynamics
- Evidence, documentation, and next-step actions
- Hire decision and consultation intent
- Core definitions and basics
What you’ll get in the download
- Top 1,000 high-signal questions tied to personal injury hiring intent, ranked and deduplicated.
- Visibility into decision-stage demand so you can see what prospects ask before they select a firm.
- AEO-ready inputs designed to improve relevance for ChatGPT, Perplexity, Gemini, and other AI engines.
- Execution-focused outputs you can translate into FAQs, practice-area pages, intake enablement, and conversion improvements.
Most Law Firms Guess What Clients Need. This Data Proves What They Actually Want.
This resource is curated from a broad corpus of real-world question signals gathered across public platforms where people express uncertainty, compare options, and pressure-test decisions. This includes Google queries, community forums, Q&A sites, and review ecosystems, including Google, Reddit, Quora, Avvo, and Yelp.
13.8 Billion
total queries analyzed across our research corpus
600,000
queries related to attorneys and legal services
Top 1,000
curated specifically for personal injury hiring intent
We remove duplicates, filter out low-intent noise, and keep only questions that reflect real intent, risk assessment, and action.
About Bodhium Labs
We’re a team of researchers and builders working at the intersection of frontier AI and business innovation. We build the missing layer between humans and AI so businesses can control their narratives and leverage AI-mediated discovery for growth.
Founded by a Wharton professor and an Ex-Google DeepMind researcher, bringing academic rigor and frontier-model systems understanding into practical go-to-market execution.
Research-led, first-principles approach grounded in explainable AI, focused on measurable, attributable improvements.
Focused on the AI Search era across major AI answer engines, helping teams understand when they appear, how they are described, and what content changes increase recommendation likelihood.
About The Founders
Kartik Hosanagar, PhD
Kartik is the John C. Hower Professor of Technology and Digital Business at the Wharton School of the University of Pennsylvania. His research focuses on the digital economy and the impact of AI and algorithms on consumers, markets, and society. He is also the author of A Human’s Guide to Machine Intelligence.
He brings a research-grounded perspective on how decision-making changes when AI systems intermediate discovery, keeping Bodhium’s work accountable to evidence and outcomes.
Krishna Srinivasan
Krishna Srinivasan is the co-founder and CEO of Bodhium Labs, an applied AI research lab building next-generation intelligent systems. Previously, he was a Research Engineer at Google DeepMind, where he contributed to work on large language models, text understanding, and multimodality. With over 15 years of experience in information retrieval, Krishna has worked with industry leaders, including IronPort (acquired by Cisco), Yahoo Search, blekko (acquired by IBM Watson), and Apple. He earned his master’s degree from Carnegie Mellon University.
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