hummingbird summit km webinar - prism legal consulting - feb 2005
TRANSCRIPT
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7/29/2019 Hummingbird Summit KM Webinar - Prism Legal Consulting - Feb 2005
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Knowledge Management inTodays Law Firm
Hummingbird Web Seminar[KM Overview Section Only]
February 16, 2005
Ron Friedmann
Prism Legal Consulting, Inc
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Agenda
KM overview Types of KM
Approaches to KM
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KM Overview Definition
Knowledge management is theprocess by which organizationsgenerate value from their
intellectual and knowledge-basedassets
KM seeks to implement processes to
collect, exchange, and deliver know-how to those who can profit fromsuch knowledge
Capture and re-use know-how
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KM Why it Matters
Profitability Improve realization rates
Client retention
Lawyer retention Competitive necessity?
Quality
Of work product Of life
Risk management
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Types of KM
Explicit Documents, e-mail
Precedents
Documented best practices
Tacit
Best practices / know-how
Expertise Relationships
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Finding versus Understanding
Finding a document is one thing,understanding it another
Even if finding is easy, the need to
understand often drives the searcherto talk to the author or an expert
Making documents truly valuable for
re-use may require Categorizing into a taxonomy
Providing context
Adding metadata
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KM and Metadata
Data about data DM profiles
Taxonomies
Context
Document specific
Practice notes
General guidelines
Document comments
Clause/section comments
Convergence with professionaldevelopment
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Taxonomies
Categorizationsystem
Plants, DeweyDecimal
West KeyNumbers
Hierarchical
Exclusive v. non-exclusive
System spanning
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Taxonomies Pros and Cons
Cons Expensive to create
Define taxonomy
Classify documents Hard to maintain conceptually
Hard to maintain technically
Benefits Provides context
Allows browsing by menu rather thansearching: recognition versus recall
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Context and Practice Notes
Context and practice notes Labor intensive
Practice notes need constant updating
Document context is unique todocument (or perhaps matter)
Precedent files Selection requires subject matter
expertise Context enhances value
Managing shelf life is time-consuming
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Processes
Lawyer andstaff
intensive
Mix oflawyer, staff,
and IT
Mix oflawyer, staff,
and IT
Informationtechnologyintensive
Manual Automatic
Manual
Automatic
COLLECT / ORGANIZE
DELIVER
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Process Trade-Offs + Options
Which is worse? Too few documents or
Too many?
Recall v. precision
What are your options?
Filtering and collection manually
performed by staff Vetting processes performed by lawyers
Selection, context, shelf-life management
Filtering and collection performedautomatically by machine
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Technologies to Automate
Full text Expertise mining
Often a variant of full-text
Relationship mining
Taxonomy management
Manual, rules-based, automatic
Inferential Tagging and inferring from time and
billing
Document submissions
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Full-Text - Contours
Types Boolean + proximity
Advanced semantics
Leveraging structure meta-dataextraction (e.g, profiles, XML, HTML)
Scope
One repository Multiple repositories
Spanning servers across offices
Security (e.g., ethical walls)
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Full-Text Results
How to handle large result sets Filter
Cluster
Visualization
Relevance Ranking
Many algorithms
Summary with search term hits
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KM Trend is to Automate
Manual Automatic
Manual
Automatic
COLLECT / ORGANIZE
DELIVER