Legal roadmap — Q2 & Q3 2026

Status: Draft
Created: 2026-03-30
Updated: 2026-03-30
Owners: Rico Rejoso (Operations — legal rolls up to Ops), Holly Condos (part-time internal counsel), Bend Law (external counsel); executive signatory: Uttam Kumaran
Related: SE) · Legal Q2 roadmap · Plan log · Legal vault README (comms, materials map)


1. Context

Brainforge runs high-volume contracting (client MSA/SOW, NDAs, IC agreements, amendments, partner paper). Legal rolls up into Operations: Rico leads ops routing (Documenso, batched updates, coordination with Finance). Holly Condos is part-time internal counsel (redlines, template strategy, deal judgment). Bend Law is external counsel for overflow or specialty. Day-to-day coordination is mostly in Slack #legal; Linear can mirror triage. The gap is structured initiatives, inventory, and AI-era templates/policies—not starting templates from zero (BrainForge Contract Templates 2026 + Notion Master Contract Directory and Changelog already exist). Flowcharts for “which paper when” are not yet centralized — see vault README.md (Where materials and flowcharts live).

This doc is the canonical strategic backlog. Quarter tags are provisional until DRIs sign off.


2. Suggested quarter split (draft)

QuarterFocus
Q2Foundation: contract inventory linked to Notion/Drive, AI + data-use clauses in templates, no unauthorized LLM + internal AI governance, contractor IP fixes, top-20 assignability scan, deal-desk triage habits with Linear.
Q3Scale & external posture: client-facing AI addendum, trademark/copyright kickoff, AI incident playbook, quarterly legal-readiness cadence, sales-claims sweep, IP asset map refinement, deal-room package v1.

3. Strategic priorities (with rationale)

#PriorityWhy
1Contract inventory tracker (client, MSA/SOW, NDA, renewal, assignment, AI clauses, indemnity, governing law)You cannot manage risk, diligence, or valuation if obligations are scattered. Align to Notion Master Contract Directory + Changelog.
2Redline and standardize AI clauses across templates (MSA/SOW/NDA/vendor/contractor)Inconsistency creates hidden liability and weak negotiating leverage.
3Define “permitted AI use” by contract (tasks/tools/environments allowed)Avoids breach claims and prevents team-by-team improvisation.
4Explicit data-use disclosures and consent (inputs, purpose, retention, training/no-training)“Client knows we use AI” is not legally specific enough.
5Strict “no unauthorized LLM upload” policy (esp. NDA / diligence data)Most immediate breach risk is confidential data in consumer AI tools.
6Internal AI governance policy (approved tools, prohibited uses, human review, logging, escalation)Contracts only help if operational behavior matches them.
7Client-facing AI policy / addendum (plain-English controls)Improves trust and reduces ambiguity in disputes.
8Fix contractor/freelancer IP assignment gaps (WMFH + assignment + confidentiality + moral rights where applicable)Chain-of-title gaps can make deliverables or IP non-transferable.
9Top-20 client assignability review (change-of-control, consent, anti-assignment)Fastest way to surface M&A/partnership deal blockers.
10Map and classify Brainforge IP (brand, methods, content, code/tools, datasets, prompts/playbooks)Documented IP increases monetization and exit narrative.
11Trademark and copyright strategy for core assets (brand + flagship frameworks/content)Protection takes time; waiting reduces defensibility.
12AI incident response playbook (confidentiality leak, hallucination harm, IP complaint)Response speed and consistency reduce legal and reputational damage.
13Align sales claims with legal/technical reality (security, privacy, AI in decks/proposals/site)Overpromising in GTM creates deceptive-practice exposure.
14Quarterly legal-readiness reviews (contracts, AI policy, vendor stack, jurisdiction updates)AI and regulatory expectations move too fast for annual-only review.
15“Deal-room readiness” package (contract matrix, IP schedule, policy binder, vendor/subprocessor list)Lowers transaction friction, fees, and retrade risk.

Condensed from channel history 2025-10-13 → 2026-03-30 (paginated read). Use for prioritization, not as records of individual deals.

  • Throughput: MSA/SOW (incl. entity transitions e.g. Pungo→Brainforge), NDAs/mNDAs (incl. M&A-style targets), IC/amendments/terminations, partner redlines (e.g. Inteleos, Ellie, Calybre). Rico runs ops throughput; Holly handles redlines; escalate to Bend Law when needed.
  • Template baseline: Holly Templates 2026 + Loom; gap = AI, payment rails (ACH/CC up-front), insurance minimums / waiver thresholds, transition clauses.
  • Inventory / CMDB: Notion Master Contract Directory and Changelog — explicit ops ask; Holly endorsed changelog + DB-style contract management (GenAI called out Oct 2025).
  • Decision flowcharts: Holly agreed to flowcharts for new client / contractor paths and clause selection — matches cross-functional roadmap intake fields + clause library.
  • Risk patterns: MSA vs SOW sequencing (don’t block delivery), executed vs draft hygiene (e.g. partner agreements in drive), customer warranties (originality, OSS/GPL) and pre-existing IP lists, inventions agreement pushback from team.
  • Governance: AI-assisted NDA review threads → need permitted use + upload policy.
  • Linear: Triage notifications to Slack; clarify Legal vs Ops ticket boundaries when structuring initiatives.
  • Optional HR/legal: Employee handbook discussion (Lauren/Holly) — versioned “legal shield” vs Notion culture doc.

MetricTarget (end Q2)Owner
Contract review turnaroundUnder 5 days (standard), under 2 days (urgent)Legal
Legal request tracking100% in Linear (or agreed system)Legal/Ops
Legal risksProactive register vs reactive onlyLegal
PlaybooksTop scenarios documentedLegal

Contracting and liability

  • Preferred baseline for AI indemnity allocation (provider vs client vs mutual)?
  • How do you draft AI output ownership/licensing when copyrightability is uncertain?
  • Language to disclaim output guarantees without destroying commercial trust?
  • Standard for limiting liability on confidentiality breaches involving third-party AI tools?

Confidentiality and NDA boundaries

  • NDA wording for AI tools during diligence/advisory?
  • How do you define “disclosure to subprocessors/tools” under NDAs?
  • Explicit client opt-in before external model providers see their data?

Data governance and privacy

  • Minimum AI data-handling disclosure set in MSAs/SOWs?
  • Retention/deletion for prompts, outputs, logs?
  • Which U.S. state laws drive most conservative AI/privacy drafting?
  • Line between “processing client data” and “training/improving systems”?

IP and chain of title

  • Contractor clauses for assignable rights to AI-assisted deliverables?
  • Treatment of prompts, workflows, methodologies in IP schedules?
  • Carving IP in/out during agency asset sales?
  • Diligence artifacts buyers expect for IP ownership in AI-heavy businesses?

Operations and evidence

  • What controls are “defensible” if dispute tests policy vs practice?
  • How firms evidence compliance (allowlists, logs, training, audit trails)?
  • Triggers for legal review before new AI tool on client data?
  • Strong AI incident commitments — contractual vs operational?

Regulatory outlook

  • Near-term U.S. regulatory developments to draft for now vs monitor?
  • Future-proof clause structures as AI law evolves?

7. Appendix B — Scratch / follow-ups

ItemNotesOwner / target
AI clause in contractsSlot-in language (Holly offered); align across template typesTBD
Contracts in repo + decision flowchartsHolly + Uttam thread; pair with Notion directoryTBD
Evaluate Brandon’s law firm (if distinct from current stack)Bend Law is external counsel today; immigration/specialty often via Bend — confirm routing with Rico/HollyTBD
M&A processOlivo mNDA pattern; assignability + deal-room packageTBD

Last updated: 2026-03-30 (folder layout: roadmaps/; governance: Ops, Holly, Bend Law)