Provisional, utility, and design applications with claims built for business goals. Full USPTO filing and foreign coordination.
Office action responses, examiner interviews, continuations/divisionals/CIPs, and allowance strategy.
Prior-art searches, patentability opinions, and freedom-to-operate/clearance to reduce launch risk.
Portfolio build-out, competitive mapping, valuation snapshots, licensing and deal support.
USPTO, state registries, and common-law checks with risk calls and filing strategy.
TEAS filings, specimens, ID crafting, Office Action responses, and ITU/SOU/extension workflow.
Watching services, marketplace/social takedowns, cease-and-desist, and settlements.
Oppositions, cancellations, extensions, and evidence strategy aligned to your brand plan.
Single and group registrations for software, media, and marketing assets with best-evidence deposits.
DMCA notices/counter-notices, platform complaints, and pragmatic settlement frameworks.
Work-for-hire, contributor agreements, and inbound/outbound licenses for growth and compliance.
Publication risk calls and practical guidance on transformative use and commentary/education.
Readiness checks for your models and AI features against major frameworks and laws (e.g., EU AI Act, NIST AI RMF/GenAI profile). You get a gap list, a prioritized fix plan, internal policy docs, model cards, impact/risk assessments, and partner-ready playbooks.
Clean rights to scrape, purchase, or ingest data. Publisher/dataset licenses, contributor agreements, output use terms, and safe-harbor language for synthetic data. Copyright registration plans for human-authored parts of mixed works.
Go/no-go calls on registrability. Correct disclosure of AI assistance, filing tactics to preserve human authorship, and appeals where warranted.
Claim drafting for AI-assisted inventions, correct inventorship decisions, disclosure practices that avoid pitfalls, and filing roadmaps for models, workflows, and applied systems.
Bias-audit readiness, notices, vendor terms, and deployment memos for automated employment decision tools. Practical guidance for Oregon employers hiring nationwide (including NYC AEDT-style rules).
Pre-release review of AI-related claims, substantiation files, disclosures, endorsements/reviews hygiene, and “hot claim” response plans—especially helpful for founders tempted to promise magic.
Consent frameworks for creators, takedown/enforcement playbooks, and product terms that keep user features legal. Includes voice/likeness coverage with a multi-state strategy (e.g., Tennessee’s ELVIS-style approach).
Device classification calls, PCCP strategy for adaptive models, submission checklists, and post-market change plans for AI features in SaMD.
Red-team/eval clauses in vendor deals, misuse/abuse playbooks, and documentation mapped to NIST GenAI profile expectations for partner diligence.
Clearance for using open models/datasets, attribution practices, and business terms for shipping a model or API—rate limits, safety gates, and downstream responsibility.
Master service terms that address training on customer data, confidentiality for prompts/outputs, SLAs for model drift, and indemnities tailored to AI risks.
COPPA and student-data mapping for AI features, guardian disclosures, and a marketing/approval plan that will pass a school-district review.
Lightweight policy, approval flows that match reality, roles and record-keeping, and a founder-friendly board template. NIST GenAI profile references included for partner credibility.
Creator-friendly licenses for training/cloning, watermark/provenance language, and fast takedowns for unauthorized clones across streaming and socials—starting with voice likeness coverage and expanding by state.
Procurement-ready disclosures, risk mitigations, and compliance matrices aligned to current public frameworks—so your bid doesn’t die on paperwork.