A practical guardrail for generative AI in legal work
Translate competence, confidentiality, communication, supervision, candor, and reasonable-fee duties into a review process before AI output reaches a client or court.
Read the ABA opinionDoodlewizy designs secure automation, intelligent documents, and operational tools for work where accuracy, accountability, and human review matter.
From a single document bottleneck to a broader case or vendor workflow, Doodlewizy connects software design with the controls professional teams need.
Agentic systems for intake, research, reporting, and repetitive professional work—with human review at the decisions that matter.
Assessment and implementation for identity, email, endpoints, backups, networks, incident response, and vendor controls—built around least privilege, evidence, and recovery.
Structured data mapped into official forms, PDFs, and document sets with deterministic calculations and validation that fails visibly.
Financial analysis, transaction reconstruction, control review, and clear reporting for matters that demand numerical rigor and an explainable trail.
Secure, compliant practice systems for matters, deadlines, documents, communication, and mobile work—with resilient access, recovery, and continuity built into daily operations.
Practical systems for due diligence, access oversight, contract milestones, evidence collection, performance tracking, and risk review—including AI infrastructure and LLM review, design, and oversight.
These offerings cover the control areas emphasized in the Albatross law firm cybersecurity checklist , translated into scoped implementation and recurring review.
Deploy multi-factor authentication, enterprise password management, least-privilege roles, separate administrator accounts, rapid offboarding, and quarterly access reviews.
Configure SPF, DKIM, DMARC, safe-link and attachment controls, impersonation protection, encrypted communication, and a documented callback protocol for payment changes.
Design a 3-2-1 backup strategy with encrypted offsite or immutable copies, defined recovery objectives, and quarterly restoration tests that prove files can be recovered.
Move beyond basic antivirus with endpoint detection and response, managed patching, full-disk encryption, mobile device controls, and remote-wipe readiness.
Review firewall rules, separate staff and guest networks, secure remote access, segment sensitive systems, and run recurring vulnerability scans across the environment.
Build role-aware training into onboarding and annual refreshers, supported by phishing simulations, practical threat updates, and a no-blame reporting process.
Create a concise response plan, assign roles and emergency contacts, define client-notification steps, preserve evidence correctly, and test the plan through tabletop exercises.
Assess vendor evidence, encryption, MFA, data access and exit terms; review client-portal logging and revocation; and document controls for cyber-insurance review.
Establish monthly alert and backup reviews, quarterly access and vulnerability checks, annual vendor assessments, and decision-ready reporting for firm leadership.
Doodlewizy’s work sits where legal detail, financial controls, security, and software engineering overlap.
A mobile-friendly, mobile-native system for bankruptcy professionals, designed to move from guided intake to structured case data and accurate filing documents.
Now beta testing: attorneys and paralegals can register interest through the project inquiry.
Search and retrieval workflows that organize public court records, docket entries, and opinions into a practical research workspace.
Design principle: preserve provenance and make every result inspectable.
Automated checks for firewall posture, exposed services, update state, and other operational signals—assembled into evidence-based risk reporting for human review.
Control boundary: detect and report; do not silently remediate.
Practical perspectives connecting responsible AI adoption to Doodlewizy’s service areas, with authoritative resources for deeper review.
Translate competence, confidentiality, communication, supervision, candor, and reasonable-fee duties into a review process before AI output reaches a client or court.
Read the ABA opinionUse NIST’s Govern, Map, Measure, and Manage functions to define ownership, document intended use, evaluate risk, and monitor a model after deployment.
Explore the NIST AI RMFReview data use, retention, access controls, subprocessors, model changes, incident response, and exit terms—then preserve the answers in the vendor record.
Open the NIST GenAI profileTreat AI as a system, not a feature: establish secure design choices, protect the development environment, deploy defensively, and monitor continuously.
Read the CISA guidanceUse models to rank transactions and surface patterns while keeping source-document validation, reproducible methods, and professional judgment at the center.
Review risk-management actionsStart with low-risk tasks, restrict access to sensitive systems, preserve event records, and keep accountable human review before an AI agent takes consequential action.
See CISA’s adoption guideBKQ is being developed as the first mobile-friendly, mobile-native bankruptcy preparation and filing software for attorneys and paralegals. The beta program is intended for bankruptcy professionals who want to test real workflows and help shape the product.
The engagement starts with the process, not a fashionable tool. Each phase makes assumptions visible and gives the people doing the work a chance to validate the design.
Map the workflow, constraints, data, risks, and handoffs that define the real problem.
Choose the right automation, controls, and human checkpoints before implementation.
Deliver an inspectable system, test it against the rules, and refine it with the people who use it.
Good automation is specific about what it does, where judgment remains human, and how the result can be checked.
Use the guided inquiry to organize the problem, the people involved, and the outcome you need. Attorneys and paralegals can also register interest in beta testing BKQ.