INTERNAL COPILOTLEGAL TECH · INTERNAL OPSPLACEHOLDER CASE · RIGHTS PENDING
Affidavit Mapp —
Internal-research copilot.
4 hrs/analyst saved.
A retrieval copilot threaded into Affidavit Mapp's research workflow. Saved 4 hours per analyst per week within 30 days of rollout — measured at the team level, not estimated.
4 hrs
Saved per analyst per week (n=42)
92%
Retrieval precision on top-3 results
8.4×
Faster than the previous Notion search
30 d
From rollout to measured ROI
01 · THE PROBLEM
Where they were stuck.
Affidavit Mapp's 50-person research team was re-researching the same case law every quarter. Senior analysts complained that institutional knowledge lived in Slack threads and individual Notion pages, none of which surfaced when a junior analyst was assigned a new matter. Time was being lost not to research itself but to finding what had already been researched.
02 · OUR APPROACH
How we built it.
- 01pgvector retrieval over the firm's case archive + every Notion page tagged 'research'
- 02Hybrid sparse/dense search with citation-aware reranking
- 03Slack-bot interface — answers in the channel where work actually happens, with inline source links
- 04Per-matter context — the bot knows which matter the analyst is currently assigned
- 05Eval pipeline: 'does the cited source actually support the answer?' measured weekly
“I stopped writing matter briefs from a blank page. The bot finds the three most relevant precedents in our archive in seconds — and links me to the original Notion page so I can verify the citation myself.”
Research Director
Affidavit Mapp
[TECH STACK]
- pgvector
- Next.js
- Slack API
- Notion API
- OpenAI
[ENGAGEMENT]
Duration10 weeks
ShapeINTERNAL COPILOT
HandoffFull ownership
Warranty90 days