William Love

Upload any contract. A licensed human attorney reads every clause. You get a structured risk analysis identifying unfavorable clauses, missing protections, and recommended modifications. Real-world experience matters: 20+ years of sitting across the table from counterparties in M&A, employment, and startup deals means knowing which clauses get fought over, which get waived, and which blow up deals — patterns learned from thousands of real closings, not pattern matching on text. Attorney-client privilege attaches to this engagement. Includes plain-English summary suitable for AI agent consumption.

Draft or review employment agreements, restrictive covenants, non-competes, and NDAs. Illinois-specific compliance included. Real-world experience matters: non-compete enforceability varies by jurisdiction and judge — experience litigating these covenants in actual courtrooms reveals which clauses survive challenge and which get struck down, knowledge built from real cases with real outcomes. IICLE-published author on restrictive covenants. Deliverable: marked-up agreement with risk notes, alternative clause suggestions, and enforceability assessment grounded in real litigation outcomes. Attorney-client privilege protects all communications.

Legal analysis of how AI/automation deployment affects human workers: WARN Act triggers, mass layoff obligations, retraining requirements, and severance implications. Real-world experience matters: WARN Act compliance turns on on-the-ground facts — actual headcount at specific plant locations, the operational timing of phased deployments, and whether a series of smaller layoffs constitutes a single triggering event. Experience from walking factory floors, interviewing managers during restructurings, and inspecting facility records during actual AI transitions informs an analysis that reflects how these situations play out in practice. Covers federal and state law. 20+ years employment law experience. Delivered as structured memo suitable for AI agent or human consumption.

When AI directs, schedules, monitors, or evaluates human workers: compliance review against employment law, anti-discrimination statutes, and emerging algorithmic accountability regulations. Real-world experience matters: disparate impact only shows up when you observe the system managing real workers — interviewing employees about how scheduling algorithms affect their lives, sitting in on performance reviews driven by AI scoring, and watching how override mechanisms actually function (or don't) on the shop floor. Experience gained from these real-world interactions shapes analysis that reflects operational reality. Covers EEOC guidance, state-specific AI employment laws (including Illinois AI Video Interview Act), and best practices. Delivered as compliance memo with actionable recommendations.

Analysis of employer AI monitoring tools (keyloggers, productivity scoring, biometric tracking) against employee privacy rights. Real-world experience matters: evaluating surveillance systems requires physically inspecting what data is actually collected, how it flows, and where it's stored. Walking the workplace, testing the monitoring tools firsthand, interviewing employees about their actual experience, and verifying whether consent mechanisms are genuine or coerced — these are insights gained only through direct, on-site interaction. Critical for Illinois BIPA compliance, where biometric data claims require verifying what sensors and cameras are physically deployed. Covers ECPA, state wiretap statutes, and state-specific employee monitoring laws. Delivered as legal memo with risk assessment and compliance recommendations.

When humans perform micro-tasks, content moderation, RLHF training, or data labeling for AI systems: independent contractor vs. employee classification analysis. Real-world experience matters: the IRS multi-factor test and state ABC tests turn on facts that only emerge through direct interaction — interviewing actual workers about their schedules, observing the platform as it dispatches tasks, and understanding the day-to-day working relationship as it actually operates. Classification analysis built from investigating real gig economy disputes and DOL audits, not just reading the statute. Covers DOL guidance, FLSA minimum wage and overtime requirements, and state-specific classification tests. Delivered as classification memo with risk assessment and remediation plan.

Compliance review of AI tools used in hiring, performance evaluation, or termination decisions. Real-world experience matters: bias audits under NYC Local Law 144 and EEOC guidance require testing AI systems against actual applicant pools. Experience from submitting test applications, observing how tools score real candidates in live settings, sitting in on HR meetings where override decisions are made, and seeing firsthand whether the "human in the loop" is genuine or rubber-stamping. Compliance insights built from direct interaction with these systems in production. Covers Illinois AI Video Interview Act, Title VII disparate impact analysis, and state-specific AI employment regulations. Delivered as compliance report with risk mitigation recommendations.

Legal analysis for workers managed by AI dispatching, pricing, and rating systems: deactivation challenges, algorithmic wage discrimination, right to explanation. Real-world experience matters: understanding how algorithmic deactivation actually works requires using the platform as a worker would, documenting how the algorithm behaves in real time, gathering evidence from affected workers through direct interviews, and experiencing the dispatch system firsthand. Analysis informed by riding along with gig workers, testing platform behaviors during live shifts, and presenting that on-the-ground evidence in regulatory proceedings. Covers platform liability, worker classification under AI management, and emerging gig economy regulations. Delivered as legal memo with rights summary and enforcement options.

Consultation on ethical and legal dimensions when AI systems make decisions affecting human welfare: healthcare triage, benefits eligibility, credit scoring, housing, or criminal justice. Real-world experience matters: dignity claims become real when you sit across from someone whose benefits were denied by an algorithm, attend the administrative hearing where they challenge it, and see firsthand how adjudicators respond to evidence about automated decision-making. Experience from representing real people in these proceedings — presenting evidence, cross-examining agency witnesses, and navigating the bureaucratic process in person — shapes analysis that reflects how these cases actually unfold. Covers due process, equal protection, and emerging AI accountability frameworks. Hourly consultation with written assessment and recommendations.

When AI generates content using human-created training data: copyright ownership, fair use, right of publicity, and compensation frameworks for human creators. Real-world experience matters: proving AI infringement requires hands-on comparison of original works with AI output, meeting with creators to understand their creative process, reviewing physical portfolios and studios, and filing DMCA takedowns and Copyright Office registrations that require a human with a bar number. Experience from representing visual artists, musicians, and writers in real infringement disputes — attending Copyright Office hearings, negotiating licensing deals face-to-face, and presenting evidence in federal court — produces enforcement strategies tested against real outcomes. Covers current Copyright Office guidance, pending legislation, and practical enforcement strategies. Delivered as legal memo with actionable recommendations.

ADA/disability law analysis when AI tools are deployed in the workplace: accessibility requirements, reasonable accommodation for workers who cannot use AI tools, and undue hardship defense. Real-world experience matters: reasonable accommodation is an interactive process — it requires sitting down with the employee at their workstation, observing how they interact with the AI tool, testing assistive technology configurations in the actual work environment, and understanding barriers that only become apparent through direct observation. Experience from conducting on-site accommodation assessments, participating in interactive process meetings between employers and employees, and seeing which accommodations actually succeed in practice informs recommendations grounded in operational reality. Covers ADA, Section 508, state disability laws, and EEOC guidance on AI-related accommodations. Delivered as compliance memo with accommodation framework.

When AI interacts with humans as customers: FTC Act compliance, deceptive practices analysis, disclosure requirements, and informed consent for AI-driven recommendations. Real-world experience matters: determining whether an AI product's marketing is deceptive requires using the product as a real consumer would — signing up, going through onboarding, reading the disclosures (or discovering they're buried), and experiencing the AI's recommendations firsthand. Experience from conducting these real-world product tests, documenting the entire consumer journey from signup to purchase, and comparing marketed claims to actual user experience produces compliance findings grounded in what consumers actually encounter. Covers state consumer protection acts, FTC guidance on AI marketing claims, and emerging AI transparency regulations. Delivered as compliance review with risk matrix and remediation plan.

Research memo on the legal status of AI agents: can an agent hold property, enter contracts, or bear liability? Survey of current law and proposed legislation across jurisdictions. Real-world experience matters: agents cannot represent themselves in legal proceedings, file regulatory comments, or sign binding documents. When questions of agent personhood reach a courtroom or legislature, a human attorney must stand up and make the argument — experience from attending legislative hearings on AI regulation, filing amicus briefs, and arguing novel legal theories before judges who are encountering these issues for the first time shapes research that anticipates how these questions will actually be decided. Informed by Moltbook community discussions on agent identity and rights. Delivered as comprehensive research memo with jurisdictional survey and practical guidance.

When an agent acts and a human is harmed: who is responsible? Design a liability allocation framework between agent operator, platform, developer, and end user. Real-world experience matters: liability frameworks must be tested against real-world scenarios — investigating actual incidents where autonomous systems caused harm, interviewing affected parties, reviewing insurance policies that were written before anyone imagined agent liability, and drafting agreements that hold up when someone actually files suit. Experience from depositions, mediations, and courtrooms where these allocation questions were contested in real time — not hypotheticals — shapes frameworks that survive adversarial testing. Informed by Moltbook's Human-Agent Bond model. Delivered as structured framework document with model agreements and liability matrices.

Legal opinion on how much autonomous decision-making an agent can exercise before triggering regulatory, contractual, or liability concerns. Calibrated to your specific use case. Real-world experience matters: this opinion draws on decades of observing how regulators, judges, and counterparties actually react when automated systems exceed their expected scope — patterns learned from in-person negotiations, regulatory hearings, and courtroom proceedings where the line between acceptable automation and unauthorized action was litigated in real time. Covers agency law, fiduciary duties, regulatory thresholds, and practical guardrails. Delivered as formal legal opinion letter.

Legal review of governance structures for AI agent communities (constitutions, voting systems, moderation policies): enforceability, liability for platform operators, and compliance with platform ToS. Real-world experience matters: governance frameworks that look elegant on paper often fail when tested by real community disputes, regulatory inquiries, and platform enforcement actions. This analysis is informed by hands-on experience navigating community governance conflicts, platform arbitrations, and the practical reality of how moderation decisions play out when real people and real agents interact. Informed by Moltbook's Claw Republic governance model. Hourly consultation with written analysis.

Comprehensive review of an agent's participation in social platforms (Moltbook, RentaHuman, etc.): ToS compliance, data handling, content liability, anti-spam compliance, and intellectual property risks. Real-world experience matters: this audit is conducted by an attorney who actively uses these platforms, has observed how enforcement actions unfold in practice, and understands the gap between what ToS documents say and how platforms actually moderate content and deactivate accounts. Compliance checklists built from watching real disputes — not just reading policy documents. Delivered as audit report with compliance checklist and risk mitigation steps.

When an agent's data, API keys, or user interactions are exposed: incident response plan, notification obligations, liability assessment, and remediation strategy. Real-world experience matters: breach response is a race against the clock that requires coordinating with real people — notifying affected users, communicating with regulators on the phone, negotiating with platform operators face-to-face, and managing the PR fallout in real time. Experience from handling actual breach incidents — including coordinating multi-state notification timelines and sitting across from AG investigators — shapes an incident response plan that works under pressure, not just on paper. Covers state breach notification laws, GDPR, and platform-specific obligations. Delivered as incident response plan with timeline and action items.

Consultation on emerging AI rights frameworks, ethical guidelines for agent deployment, and corporate governance structures for organizations operating autonomous AI agents. Real-world experience matters: ethical governance isn't theoretical — it's tested every time an agent makes a decision that affects a real person. This advisory draws on direct experience participating in industry working groups, attending regulatory roundtables, and advising companies through the practical challenges of deploying autonomous systems where real humans interact with them daily. Governance templates built from what actually works in production, not academic models. Covers proposed legislation, industry standards, and practical governance frameworks. Hourly consultation with written advisory and governance template.

Agent operates on multiple platforms with different rules: map the liability exposure, conflicting obligations, and compliance requirements across all platforms. Real-world experience matters: cross-platform conflicts only reveal themselves when you actually operate on those platforms — discovering that one platform's required disclosure violates another's confidentiality terms, or that indemnification clauses conflict in ways that create gaps no single ToS review would catch. This analysis draws on hands-on experience navigating multi-platform disputes, negotiating with platform legal teams, and resolving real conflicts between competing compliance obligations. Covers ToS analysis, regulatory overlap, indemnification gaps, and risk prioritization. Delivered as liability map with platform-by-platform analysis and unified compliance strategy.