Roadmap

What’s next on Big Law Bear

We ship continuously and try to be honest about what’s built vs. what’s shipping vs. what’s a thoughtful maybe. This page is the live version of that distinction.

For shipped work, see the changelog. For requesting something specific, email hello@biglawbear.com (students) or firms@biglawbear.com (firms), feature requests with real customer pull jump the queue.

In flight

Actively being built right now. Most ship within the current cycle.

Email + offer-letter template designer v2

Firms

Image upload (not just URLs), drag-to-reorder blocks, conditional sections ("show if signing bonus > X").

Bulk pipeline actions

Firms

Multi-select on the applications kanban: bulk move stage, bulk decline with shared note, bulk archive.

Application analytics, yield projections per school

Firms

Project signing rate at each tier and hold-out group based on the cohort's historical yield curve.

Mobile dashboard polish

Students

Tracker, application detail, and offer-signing flows mobile-first, students do half their recruiting from phones.

Queued

Designed and committed; will start once in-flight items ship.

HRIS integrations, Workday, SuccessFactors

Firms

Push signed-offer events into the firm's HR system so recruiting → onboarding handoff is automatic.

Reference-check automation

Firms

Auto-email referees with structured questionnaire when a candidate hits the offer stage; aggregate responses to the firm portal.

Interview prep assistant for candidates

Students

Per-firm prep packets the night before the interview: practice questions, firm-specific recent news, partner bios.

Public bias audit reports, quarterly

Platform

Publish the LL144 four-fifths-rule audit results as a permanent record on /legal/nyc-aedt-notice.

CSP nonce migration

Platform

Tighten production CSP from unsafe-inline to per-request nonces. Plan in docs/security-h8-csp-nonce-runbook.md.

Exploring

Ideas we believe in but haven't committed to yet. Feedback shapes the priority.

BLB Rank, proprietary firm composite score

Students

Composite ranking weighting culture signals, work-life data, training quality, and recent attrition. Not launching this cycle.

Match score, student × firm fit

Students

Suggest firms based on practice interest, geography, and stated culture priorities. Cap at "suggestion", never a gate.

Compensation transparency aggregation

Students

Anonymized signing-bonus + COL-adjusted-base-pay ranges across a cycle, surfaced in firm profiles.

Firm-side copilot, recruiter inbox

Firms

Draft replies to candidate emails using the firm's voice + tone profile, queued for human review (never auto-send).

Public bug bounty program

Platform

Move from acknowledgments-only to a paid program once we have the budget.

How we prioritize

Three inputs, weighted roughly equally:

Customer pull. Active firms + students asking for the same thing.
Risk. Compliance gaps, security hardening, deliverability, these jump everything.
Strategic value. Items that compound across multiple surfaces (e.g., the brand-kit pattern, the queue+drain pattern).

Last reviewed: April 30, 2026.