Tool Directory
The playbooks, suites, analyzers, and workflows we build for in-house teams — each with what it covers and a direct link to open it.
Playbook
A structured playbook for negotiating AI vendor and deployment agreements — phased methodology, pre-approved positions, and velocity tactics that keep deals moving without eroding risk posture.
Monitoring
A monitoring and alerting tool that tracks regulatory, statutory, and case-law developments across intellectual property, data privacy, and AI governance — and pushes curated, practice-area-specific notifications so nothing material slips past counsel.
Review
An AI review tool that screens client-facing marketing and product copy for legal risk before publication — flagging IP, advertising, privacy, and AI-disclosure exposure so communications go out counsel-reviewed, not counsel-blind.
Prompting Suite
A practice-area prompting and use-case suite for in-house attorneys — ready-to-run prompts and workflows tuned to intellectual property, data privacy, and AI governance work, so legal teams get useful first drafts out of their existing AI assistants without starting from a blank page.
Analyzer
An AI-assisted analyzer that screens non-disclosure and confidentiality agreements for legal risk before signature — flagging one-sided obligations, scope creep, and survival and residual-knowledge exposure so NDAs get a counsel review pass, not a rubber stamp.
Escalation
A tracking and routing tool that captures legal escalations as they arise across the business — from inbound incident reports to regulator inquiries and contract disputes — and routes each one to the right owner with a scoped severity, response deadline, and audit trail so nothing material slips through the cracks.
Thought Leadership
An end-to-end workflow that turns the firm's legal work and analysis into cleared thought-leadership content — blog posts, social threads, and practice-area briefs — drafted, risk-screened, and routed for attorney sign-off before anything publishes, so the firm builds authority without exposing client confidences or leaking privileged analysis.
ROI
A return-on-investment tool that quantifies what structured legal work is actually worth — translating in-house cycle times, outside-counsel spend, and avoided incidents into a defensible ROI number so legal leaders can justify budgets and show where process change pays off.
Drafting
An AI-assisted drafting assistant that turns an intake brief into a structured first draft of contracts, policies, and governance documents — pulling from the firm's precedent library, applying the right clause standards, and routing every draft to an attorney for review and finalization so the output is a defensible starting point, not a finished product.
Handbook
An AI-assisted handbook generator that builds a living operations manual for an in-house legal team — codifying intake paths, escalation rules, matter ownership, and approval thresholds so institutional knowledge survives staff turnover and new hires ramp in days, not months.
Training
A modular training suite that gives in-house lawyers practical, scenario-based instruction on AI tools, privacy, IP, and governance — turning policy and playbooks into working knowledge through short, role-targeted modules with comprehension checks and completion records legal can point to as evidence of a trained team.
Comparison
A decision guide that maps when to use purpose-built legal AI tools versus general-purpose foundation models — and what each is actually good for — so the team reaches for the right engine the first time: specialized tools for governed, playbook-bound work, and general models for exploration, synthesis, and first drafts that an attorney then reviews.
Automation
A suite of automated workflows that compress the legal team's daily overhead into a single morning brief — pulling status, surfacing new issues, and flagging deadlines so attorneys start the day briefed on what matters instead of assembling it by hand from email, the docket, and matter notes.
Coming soon
Vendor Assessment
A structured assessment that screens third-party AI vendors before they touch client data — covering data handling, model governance, security, and contractual protections — so the team can clear or block a tool with a defensible, repeatable record instead of a rubber-stamp and a shrug.
