What you are probably dealing with
Sources are read and then scattered
Dozens of sources go into one report, with the key points copied into a personal notes app. Three months later a colleague covering similar ground has to read it all again.
Citations cannot be traced
The report is written and now needs sources attributed — which means hunting for one sentence across dozens of PDFs. When it cannot be found, the claim gets softened and the report loses credibility.
AI summaries you dare not use
A general-purpose assistant summarises quickly, but you cannot see which passage it drew on or whether it invented anything. Verifying takes longer than reading would have.
Research assets belong to individuals
Curated knowledge lives on one person’s cloud drive. When they move on, three years of accumulated context moves with them.
Before and after
Before
- 1Sources opened one by one, points copied into notes
- 2Cross-document comparison done from memory and search
- 3Citations hunted down while writing
- 4Summaries drafted by a general AI but not trusted for quoting
- 5Output stored on a personal cloud drive
With AI GO
- 1Sources imported in bulk and extracted automatically
- 2Questions asked across the whole set, answers carry citations
- 3Citations trace back to the original passage
- 4Summaries and mind maps generated from the sources
- 5The research workspace lives under the company account
Modules involved
The research assistant is the core. Teams with legal or patent needs can add the judgment and patent modules.
筆記與思考研究助手
AI 驅動的多來源研究助手。支援網頁/文字來源萃取、RAG 問答、摘要報告、心智圖與 Deep Dive 對話生成。
Productivity司法院裁判書
整合司法院資料開放平臺 API，查詢裁判書內容、追蹤異動清單、依法院分類瀏覽，提供法律研究與案件分析支援。
Analytics事務所專利管理系統
為專利商標事務所設計的案件管理系統。含營運儀表板、案件看板、專利商標案件全生命週期管理，並整合 OCR 公文建檔、AI 說明書輔助、OA 答辯與里程碑計費等後端 Action。
Operations專案管理中心
專案全生命週期管理中心：專案預算收支、請款簽核流程、任務進度追蹤與回報、會議記錄管理。內建預算執行率分析、請款狀態機簽核與結案檢查。
ProductivityPlatform capabilities
Grounded answers, not invention
Web and text sources are extracted and queried via RAG, with answers tracing back to the source passage. You never get a fluent claim you cannot substantiate.
From sources to output in one place
Summary reports, mind maps and deep-dive conversations all happen in the same workspace — no shuttling material between four tools.
Findings become organisational assets
The workspace sits under the company account rather than a personal drive. When people move on the context stays, and whoever picks it up can see how it was built.
Control over sensitive material
Who can see which sources and who exported what are scoped and logged, so internal unpublished material does not have to leave in order to be useful.
Labour cost you can recover
For a three-person research or strategy team at an average loaded rate of NT$450/hour:
Reading sources and extracting key points
- Hours / month
- 40 hrs
- Hourly rate
- NT$ 450
- Recovered / month
- NT$ 18,000
Cross-document comparison and verification
- Hours / month
- 24 hrs
- Hourly rate
- NT$ 500
- Recovered / month
- NT$ 12,000
Tracing citations back to source
- Hours / month
- 14 hrs
- Hourly rate
- NT$ 420
- Recovered / month
- NT$ 5,880
Report formatting and chart preparation
- Hours / month
- 16 hrs
- Hourly rate
- NT$ 380
- Recovered / month
- NT$ 6,080
| Work replaced | Hours / month | Hourly rate | Recovered / month |
|---|---|---|---|
| Reading sources and extracting key points | 40 hrs | NT$ 450 | NT$ 18,000 |
| Cross-document comparison and verification | 24 hrs | NT$ 500 | NT$ 12,000 |
| Tracing citations back to source | 14 hrs | NT$ 420 | NT$ 5,880 |
| Report formatting and chart preparation | 16 hrs | NT$ 380 | NT$ 6,080 |
| Total | NT$ 41,960 | ||
These figures assume a typical staffing profile. Real numbers depend on your team size and process — we rerun the model with your own data during a consult.
FAQ
How is this different from just using ChatGPT?
Can AI summaries be wrong?
Can we put confidential internal material in?
Who are the judgment and patent modules for?
Further reading
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Other solutions
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