Litigation packet
- Pleadings, motions, orders, discovery excerpts
- Depositions, experts, exhibits, correspondence
- Chronologies, witness prep, issue maps
Tokens are energy, not intelligence.
Stop rebuilding the matter file for every task.
One approved matter packet can support chronology, issue mapping, deposition preparation, drafting, and review instead of being reconstructed for each task. Validate citations, privilege boundaries, required facts, and attorney review on the firm's own representative matters before rollout.
Best first packets
Start where source material is stable and repeatedly useful.
Distil is strongest when a legal team can identify a packet that already gets reused across many questions, documents, or internal workflows.
Deal room
- Purchase agreement, markups, diligence, disclosure schedules
- Obligation matrices and closing checklists
- Risk registers and variance summaries
Knowledge bank
- Prior memos, forms, firm guidance, client preferences
- Playbooks, research notes, standard positions
- Starting points for new matters
Legal dev ops
- Case-management integrations, API docs, repo context
- Tickets, vendor notes, runbooks
- Impact analysis and implementation plans
Small audit
Prove useful legal work under the firm's own requirements.
A good pilot is deliberately narrow: one approved packet, three real tasks, the same model, and a quality floor the legal team already trusts.
Package
Choose one closed, public, or approved matter packet with enough repeated-task value to measure.
Create handle
Turn the packet into reusable hosted context and keep access limited to authorized users.
Ask selectively
Run chronology, claims/defenses map, deposition prep, or draft-outline tasks against the handle.
Review
Compare raw resend and hosted-context outputs for accuracy, completeness, latency, and cost.
Give legal AI approved matter context without rebuilding it for every task.
Start with a closed or approved packet, three representative tasks, and a clear quality floor. If the hosted path preserves quality and reduces repeated work, expand from there.