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IPscreener	
  -­‐	
  AI	
  assisted	
  exploring	
  &	
  reading	
  	
  
enhanced	
  searchers	
  
MANUAL	
  
The	
  searcher	
  reads	
  the	
  text	
  to	
  extract	
  keywords	
  	
  
&	
  classes,	
  then	
  creates	
  a	
  boolean	
  strategy	
  using	
  
combinaBons	
  of	
  different	
  operators	
  &	
  fields	
  	
  
AUTOMATIC	
  
The	
  engine	
  creates	
  a	
  fingerprint	
  reflecBng	
  
the	
  content	
  of	
  a	
  text,	
  then	
  matched	
  using	
  	
  
trained	
  data	
  for	
  finding	
  similar	
  documents	
  
AI	
  vs	
  manual,	
  what	
  is	
  the	
  difference?	
  
The	
  elements	
  of	
  prior	
  art	
  searching	
  
Right	
  Document(s)	
   Right	
  Passage(s)	
   Right	
  InterpretaBon(s)	
  
Current	
  focus	
  	
  
of	
  search	
  tools	
  
IPsceener	
  walkthrough	
  -­‐	
  Enter	
  Case	
  
IPsceener	
  walkthrough	
  –	
  Hit	
  List	
  
IPsceener	
  walkthrough	
  –	
  Full	
  view	
  
IPsceener	
  walkthrough	
  -­‐	
  Report	
  
Client files
idea
Build	
  decision	
  support	
  processes	
  
IP-
analysis
Finds match
- the idea/concept
lacks novelty
Finds similar
- the idea/concept
is partially known
Manual
search
Finds nothing
– the idea/concept
seems new
Large search
suggested
Minor search
suggested
Auto- classification of
application
No further search
suggested
Search	
  
Analysis	
  
Time	
  
Search	
  
Analysis	
  
The	
  future	
  role	
  of	
  the	
  Searcher?	
  
Today	
   Tomorrow	
  
Strategy	
  
 	
  	
  	
  Customer	
  metrics;	
  recall	
  on	
  porVolio	
  
0.00%	
  
10.00%	
  
20.00%	
  
30.00%	
  
40.00%	
  
50.00%	
  
60.00%	
  
A61K	
   A61P	
   C07D	
   C07C	
   C07K	
  
Recall	
  100	
  long	
   Recall	
  100	
  short	
  
Recall	
  ra(o	
  of	
  number	
  X/Y	
  cita(ons	
  from	
  patent	
  office	
  report	
  found	
  by	
  IPscreener	
  within	
  top	
  100	
  
hits.	
  The	
  scores	
  are	
  based	
  on	
  3907	
  patent	
  applica(ons	
  from	
  latest	
  10	
  years,	
  (tle/abstract	
  vs	
  full	
  
text	
  input.	
  
Input	
  format	
   Recall	
  10	
   Recall	
  25	
   Recall	
  50	
   Recall	
  100	
   Avg	
  length	
  
Long	
   31,29%	
   39,39%	
   44,05%	
   48,88%	
   120293	
  
Short	
   23,99%	
   30,59%	
   34,86%	
   39,72%	
   2007	
  
Thanks	
  For	
  Listening!	
  
QuesBons?	
  
	
  
	
  
Thanks	
  for	
  listening!	
  QuesBons?	
  
Torsten	
  Lindholm	
  
Head	
  of	
  Customer	
  Success	
  
Torsten@Ipscreener.com	
  
	
  
Book	
  a	
  demo	
  @:	
  	
  
hhps://meeBngs.hubspot.com/torsten	
  	
  

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AI-SDV 2020: IPscreener

  • 1. IPscreener  -­‐  AI  assisted  exploring  &  reading     enhanced  searchers  
  • 2. MANUAL   The  searcher  reads  the  text  to  extract  keywords     &  classes,  then  creates  a  boolean  strategy  using   combinaBons  of  different  operators  &  fields     AUTOMATIC   The  engine  creates  a  fingerprint  reflecBng   the  content  of  a  text,  then  matched  using     trained  data  for  finding  similar  documents   AI  vs  manual,  what  is  the  difference?  
  • 3. The  elements  of  prior  art  searching   Right  Document(s)   Right  Passage(s)   Right  InterpretaBon(s)   Current  focus     of  search  tools  
  • 6. IPsceener  walkthrough  –  Full  view  
  • 8. Client files idea Build  decision  support  processes   IP- analysis Finds match - the idea/concept lacks novelty Finds similar - the idea/concept is partially known Manual search Finds nothing – the idea/concept seems new Large search suggested Minor search suggested Auto- classification of application No further search suggested
  • 9. Search   Analysis   Time   Search   Analysis   The  future  role  of  the  Searcher?   Today   Tomorrow   Strategy  
  • 10.        Customer  metrics;  recall  on  porVolio   0.00%   10.00%   20.00%   30.00%   40.00%   50.00%   60.00%   A61K   A61P   C07D   C07C   C07K   Recall  100  long   Recall  100  short   Recall  ra(o  of  number  X/Y  cita(ons  from  patent  office  report  found  by  IPscreener  within  top  100   hits.  The  scores  are  based  on  3907  patent  applica(ons  from  latest  10  years,  (tle/abstract  vs  full   text  input.   Input  format   Recall  10   Recall  25   Recall  50   Recall  100   Avg  length   Long   31,29%   39,39%   44,05%   48,88%   120293   Short   23,99%   30,59%   34,86%   39,72%   2007  
  • 11. Thanks  For  Listening!   QuesBons?       Thanks  for  listening!  QuesBons?   Torsten  Lindholm   Head  of  Customer  Success   Torsten@Ipscreener.com     Book  a  demo  @:     hhps://meeBngs.hubspot.com/torsten