Anytime AI's 2026 Update: What Product Teams Should Do Next
Anytime AI opened 2026 with gratitude for users and partners, and a plan to expand products, run its annual seminar, and show up at more U.S. conferences. The message is seasonal and promotional, but the intent is clear: more investment in product and market presence within plaintiff law. No feature list, metrics, or funding numbers were shared.
For product leaders, that's enough signal to set priorities. Here's how to turn a broad announcement into a concrete 2026 plan.
Implications for Product Strategy
- Focus the roadmap on plaintiff law workflows. Map the top jobs-to-be-done: intake, demand packages, medical record handling, lien resolution, settlement prep, and evidence organization.
- Define firm segments early (solo, small, mid-market) and identify the one with the shortest time-to-value. Ship for that segment first.
- Prioritize integrations with case management and document systems used by plaintiff firms. Make data in/out simple and safe.
- Lean into explainability and audit trails. Plaintiff practices live on documentation. Every AI action should be traceable and reversible.
Build the 2026 Plan
- Set two clear outcomes for H1: a measurable activation target for one core workflow and a repeatable integration pattern across two key partners.
- Use conferences as research sprints. Book 20+ discovery interviews in advance, run guided usability sessions on-site, and capture structured feedback.
- Stand up a partner track. Co-marketing, referral mechanics, and a lightweight certification for implementation partners.
- Codify privacy, security, and model governance. Publish data retention, redaction, and human-in-the-loop policies. Align with the NIST AI Risk Management Framework.
Metrics That Matter for Plaintiff Law
- Time-to-value: days from signup to first successful completion of a core workflow.
- Activation rate: percent of new firms completing that workflow in week one.
- Weekly active users per firm and workflow depth (events per user).
- Retention and expansion by firm size (seats, add-ons, integrations adopted).
- Partner-sourced pipeline and win rate from events.
- Support tickets per active account and time-to-resolution.
- NPS or CSAT specifically within plaintiff practices.
De-risk the Roadmap
The update hints at "exciting product growth" but gives no specifics. Treat that as a license to test fast and kill what doesn't move the needle.
- Run design partnerships with 5-10 firms; define success thresholds before kickoff.
- Ship pre-MVP click-throughs to validate demand before building backends.
- Price tests on one workflow: per-matter, per-user, or usage-based-pick one and learn.
- Security review up front: SOC 2 roadmap, PII handling, optional on-prem or private data regions for sensitive clients.
- Model evaluation baselines: accuracy on redaction, document classification, and summary fidelity with human review gates.
Conference Strategy as a Product Engine
More conferences can be more than brand. Use them to tighten product-market fit.
- Pre-book sessions with target firms. Show working prototypes, not decks.
- Run live usability tests and track completion time, error rate, and perceived effort.
- Offer pilot spots with clear timelines and expected outcomes.
- Convert insights into a two-week post-event sprint. Publish "what we changed" to build credibility.
Investor Read
No financials were disclosed, so near-term impact is hard to call. The practical read is a push to grow product value and presence in a defined segment.
- Be ready to show ARR mix from plaintiff firms, sales cycle length, logo adds, churn, and cohort retention.
- Highlight proof points: integration adoption, reference customers, and measurable time savings per matter.
Action Checklist (Next 90 Days)
- Choose one plaintiff workflow to own in H1 and define its activation metric.
- Lock 10-20 user interviews and 5 design partners before your next conference.
- Ship a prototype and instrument it end-to-end for learning.
- Publish a short, plain-language data and security page.
- Deliver one integration end-to-end and document it publicly.
- Run a pricing experiment with real buyers; document objections and wins.
- Set up a partner referral motion and shared pipeline tracking.
- Report weekly on activation, retention, and support heat. Adjust backlog accordingly.
If your team is building AI-heavy features and needs to upskill fast, see focused options by role at Complete AI Training. Keep the loop tight: learn, ship, measure, repeat.
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