TŠEBELETSO E DISCOVER SOFTWARE
Tataiso ea Moreki
Mekhoa e Tloaelehileng ea ho Ithuta eDiscovery Software Trade-offs
E kholo review sethaleng empa mokhoa o rarahaneng oa tlhahiso
Bokhoni ba ho tlaleha bo monate empa sebopeho sa mosebelisi se sa utloahaleng
Ho bonolo ho kenya data empa lisebelisoa tsa analytics tsa khale
Moralo o hlakileng empa ha ho na litsebi tsa theknoloji kapa tsa tšebetso e fumanehang ha ho hlaha lipotso
Mefuta ena ea likhohlano hangata e ikutloa e le ea tlhaho ho software ea ho itšebeletsa ea eDiscovery. Sena se bakoa ke mofuta oa eDiscovery ka boeona. Ke ts'ebetso ea molao e hlokang mahlale le lits'ebeletso tse ngata ho etsa mesebetsi e fapaneng haholo le e tsamaisanang. Sena se etsa hore ho be thata ho mofani oa theknoloji ea eDiscovery e hloekileng ho rala theknoloji e ntle ka ho fetisisa ea thepa bakeng sa mosebetsi o mong le o mong oa eDiscovery. Bakeng sa mohlalaampLe, boholo ba bafani ba theknoloji ha ba na bophara ba lisebelisoa tse hlokahalang ho hlahisa lisebelisoa tse ntle ka ho fetisisa tsa analytics, lisebelisoa tse ntle ka ho fetisisa tsa tlhahiso, tse ntle ka ho fetisisa.view platforms, le lisebelisoa tse molemohali tsa ho sebetsa. Sebakeng seo, ba kanna ba ba le sesebelisoa se le seng kapa tse peli tse sebetsang hantle haholo, athe lisebelisoa tse ling li kanna tsa haella haholo ha li bapisoa le likhetho tse etellang pele indastering.
Thus, trade-offs like these have become so common in the industry that oftentimes, those responsible for purchasing new software feel as if there is no other choice but to accept them. To make matters worse, the purchasing process itself can also be grueling and overwhelming due to the multitude of functions that need to be evaluated. For all these reasons, purchasers often turn to cost as the primary decision-making factor when evaluating self-service eDiscovery software. After all, cost is seemingly simple to compare among potential technology providers, and presenting the cheapest option is an easy to way justify a potential purchase to stakeholders.
Unfortunately, using cost as the primary decision-making factor when purchasing eDiscovery software can leave end users (i.e., attorneys and legal professionals) holding the short end of the stick – struggling to find workarounds to close the gaps of the shortcomings of a platform. Make no mistake, if an organization or law firm purchases eDiscovery software that has significant functional gaps in a particular area, attorneys and legal professionals will find a way to do their work despite those gaps – out of necessity to serve their organization or clients. But creating workarounds or manually performing work that could be easily automated comes at the expense of attorneys’ and legal professionals’ own time (and sanity). That expense is then passed down to a firm’s clients or to the organization itself. In this way, purchasing the cheapest ediscovery software can drive up cost and become much more expensive overall.
Kholiseha leha ho le joalo - ho na le tsela e betere.
Ka lipatlisiso tse nyane, boitokiso bo itseng, le leano le nepahetseng, bareki ba software ea eDiscovery ba ka tseba, ba lekola, le ho reka theknoloji e lumellanang hantle le litlhoko tsa mokhatlo oa bona kapa feme ea molao.
Karolo e setseng ea tataiso ena ea ho reka ea eDiscovery e tla fana ka leano la ho reka le malebela a lipatlisiso a tla thusa ho fokotsa likhohlano tse kotsi tsa software ea eDiscovery tse lebisang ho se sebetseng hantle le ho phahama ha litšenyehelo. Tataiso ena e boetse e kenyelletsa matrix ea bokhoni e tla thusa bareki ho bapisa likarolo tse fapaneng tsa software ea eDiscovery.
Self-Service eDiscovery Purchasing Strategy Tips
Tokisetso ke senotlolo
Pele o hlahloba software efe kapa efe ea ho sibolla, hoa hlokahala ho utloisisa hore na feme kapa mokhatlo oa hau o hloka eng ho latela bokhoni, likarolo le lits'ebeletso. mme seo se hloka ho itokisa hanyenyane. le haeba feme kapa mokhatlo oa hau o na le
o sebelisitse thekenoloji e tšoanang ea ho fumana lintho ka lilemo 'me u ikutloa u kholisehile hore u tseba se hlokahalang, ho bohlokoa ho bua le bohle ba amehang hore na ke bokhoni bofe, ts'ebetso, le likarolo tsa bohlokoa ho bona.
Tokisetso ena e ka ba bonolo joalo ka ho lula fatše le litsebi tsa molao le babuelli ba molao ba sebelisang software ea hajoale le ho ba kopa ho hlalosa seo ba se ratang le seo ba sa se rateng ka eona. Lipuisano tsena li ka makatsa le ho fana ka leseli, kaha ba amehang ba ka 'na ba se ke ba hlahisa litletlebo mabapi le theknoloji ea morao-rao nakong e fetileng ka mabaka a sa tšoaneng - bakeng sa ex.ample, ba ka 'na ba ikutloa hore ho tletleba e ne e tla ba lefeela hobane software e ne e se e rekiloe le ho kenngoa ts'ebetsong. Leha ho le joalo, babuelli ba molao le litsebi tsa molao ba ka 'na ba bua haholoanyane ka maikutlo mabapi le likheo le ho se sebetse ka theknoloji ea bona ea morao-rao ha ba hlahisoa ka monyetla o hlakileng oa ho fokotsa lintlha tseo tsa bohloko ka theknoloji e loketseng hantle.
Hape itokisetse hore basebelisi ba bang ka har'a feme kapa mokhatlo o le mong ba ka ba le maemo a fapaneng (kapa a hanyetsanang) ho latela hore na ba sebelisa software joang. Sehlopha se seng se ka batla review sethala se theoleloang fatše ntle le litloloko tse ngata le liloli, ha sehlopha se seng se ka batla ho sefa se tsoetseng pele, li-analytics, le bohlale ba maiketsetso (AI). Se ke oa nyahamisoa ke kopano ena - e tloaelehile, haholo-holo har'a lihlopha tse sebetsanang le mefuta e fapaneng ea litaba, 'me e ka ba taba ea bohlokoa nakong ea tlhahlobo. Bakeng sa mohlalaample, you may be able to satisfy both sets of needs by looking for ediscovery software that can flex and scale from the smallest matter to the largest, as well one that provides the ability to create different templates for common use cases. Be sure to involve IT and data security teams in these conversations, as well. eDiscovery software often directly implicates those teams, so it is equally important, if not more so, to understand what their requirements and pain points are during the purchasing process.
Hang ha u se u bokelletse maikutlo, e sebelise ho etsa lethathamo le behiloeng pele la bokhoni ba bohlokoa ka ho fetisisa, mesebetsi, le litšoaneleho bakeng sa bohle ba amehang ka har'a feme kapa mokhatlo oa hau. Lethathamo lena le tla etsa hore ho be bonolo ho lekola theknoloji e ka bang teng.
Lekola bafani ba ho ediscovery hammoho le software
Leha ho ka bonahala ho le bonolo ho tsepamisa maikutlo ho lekola le ho bapisa bokhoni ba software, ho bohlokoa ka ho ts'oanang ho utloisisa phapang lipakeng tsa mefuta ea bafani ba eDiscovery kantle ho moo, kaha seo se ka ama mofuta oa software eo ba e hlahisang le/kapa ba fanang ka eona.
Boholo ba bafani ba thekenoloji ea software e hloekileng ba tla fana ka theknoloji ea bona ea eDiscovery, hammoho le koetliso ea pele ea ho e sebelisa. hale sena se ka ba molemo ho latela mokhoa o bonolo, o ka boela oa ampntlafatsa mekhoa ea khoebo eo ho buisanoeng ka eona ka holimo haeba mofani a sa khone ho sebelisa theknoloji e hlōlisanang e sebetsang hantle ho feta theknoloji ea bona. Hape hlokomela hore bafani ba theknoloji e hloekileng ea software ba ka 'na ba se ke ba fana ka thekenoloji kapa ts'ehetso ea litšebeletso ho feta lithupelo tsa pele - ho bolelang hore haeba ho na le bothata ka tlhahiso, kapa 'muelli oa molao a e-na le potso mabapi le ts'ebetso le ho amohela, ho tla ba le ho honyenyane tseleng ea ka ntle. lisebelisoa ho thusa ho rarolla mathata ao.
Ka lehlakoreng le leng, bafani ba lits'ebeletso tsa eDiscovery ba fana ka theknoloji ea eDiscovery (e ka ba ea bona kapa ea motsoako oa thekenoloji ea khoebo le ea thepa), hammoho le litšebeletso tse ling tse fapaneng tsa litsebi tsa eDiscovery (bakeng sa khale.ample, tsamaiso ea tlhahisoleseling le lits'ebeletso tsa maru, lits'ebeletso tsa forensic le pokello, le review ditshebeletso). Litšebeletso tsa tlatsetso li tla fapana ho ea ka mofani oa litšebeletso - tse ling li fana ka litšebeletso tse ngata, tse ling li fana ka tse 'maloa feela. Ka tsela efe kapa efe, lits'ebeletso tsena tsa tlatsetso li kanna tsa bonahala li le boima kapa li sa hlokahale ho mokhatlo kapa feme ea molao e batlang ho reka software ea ho ithusa.
Pele o tlosa sehlopha sena sa bafani, leha ho le joalo, hopola hore ho ba le litsebi tseo ho basebetsi e ka ba sesupo sa hore mofani oa thepa o lumellana le ho netefatsa hore software ea bona ea boipheliso e fana ka tharollo e feletseng ea eDiscovery. Bakeng sa mohlalaample, bafani ba fanang ka keletso ea litsebi mabapi le lisebelisoa tsa tšebelisano ea maru le litšebeletso tsa pokello bakeng sa lisebelisoa tseo ba tla
mohlomong ba utloisisa liqholotso tse ka hlahang ha ho laeloa le ho sebetsana le data ho tsoa mehloling eo, kahoo ba tla lokisoa ka tharollo bakeng sa liqholotso tseo. Bafani ba litšebeletso le bona ka kakaretso ba fana ka maemo a mangata ka thuso le ts'ehetso ha ho hlokahala hobane ba na le basebetsi ho etsa joalo, hape ba ka fana ka ts'ehetso ea ts'ebeletso e felletseng le lisebelisoa tse phatlohileng ha ho hlokahala. Bafani ba litšebeletso ha ba u hloke hore u sebelise litšebeletso tsena, empa li ka pholosa bophelo haeba u li hloka le ha u li hloka.
Khutlela linthong tsa motheo
Ho sa tsotelehe hore na ke bokhoni bofe le likarolo life tse bohlokoa haholo ho bankakarolo kapa hore na u khetha ho sebetsa le mofani oa mofuta ofe oa eDiscovery, ho na le lintlha tse itseng tsa ts'ebetso ea tlhahlobo tse tla ba bohlokoa le tse ke keng tsa buisanoa. Tse peli tsa lintlha tseo tsa mantlha ke ts'ireletso ea data e tšepahalang le litheko tse ka lebelloang.
Tšireletso e Tšepahalang ea Lintlha: Ho boloka data ea hau e sireletsehile e lokela ho ba ntho e amehang ka pele ho mofani oa eDiscovery. Kahoo, mofani ofe kapa ofe o lokela ho bonts'a moralo o matla oa ts'ireletso ea data hammoho le ho ithorisa ka litifikeiti tsa ts'ireletso ea indasteri, ho kenyeletsoa ISO, SOC, le HIPAA. U ka batlisisa meralo ea ts'ireletso ea mofani oa thepa, ho tlola molao ha data nakong e fetileng, le hore na data e bolokoa le ho sireletsoa joang ka ho botsa baemeli ba thekiso bakeng sa tlhaiso-leseling ena ea mantlha le ho latela mathata afe kapa afe. Ha ho letho le bohlokoa ho feta ho boloka data ea hau (kapa ea moreki oa hau) e bolokehile, 'me mofani ofe kapa ofe oa eDiscovery eo u mo khethang o lokela ho khona ho bonts'a taba eo ea bohlokoa ho uena ka mokhoa o hlakileng.
Litheko tse Lebeletsoeng: E 'ngoe ea melemo e meholo ka ho fetisisa ea ho iketsetsa litšebeletso tsa eDiscovery ke litheko le taolo ea litšenyehelo.
Bafani ba litšebeletso tsa "self-service eDiscovery" ba lokela ho fana ka litlhahiso tsa litšenyehelo le mekhoa ea litheko e lumellanang le litlhoko tse ikhethang tsa mokhatlo oa hau kapa feme ea molao. Ho tloha ho mekhoa ea ho lefa ha u ntse u tsamaea ho ea ho mokhoa o itšetlehileng ka ho ngolisa, litheko tsa ho iketsetsa litšebeletso tsa eDiscovery li lokela ho ba tse pepeneneng le tse ka lebelloang esale pele, tse lumellang lifeme tsa molao ho fetisetsa tsebo eo esale pele ho bareki le mekhatlo ho etsa tekanyetso e ntle ea tšebeliso ea bona ea molao.
eDiscovery Software Evaluation Capability Matrix
Hang ha u se u e-na le kutloisiso e tiileng ea likarolo le bokhoni boo e leng ba bohlokoa haholo ho ba amehang le ho utloisisa phapang pakeng tsa mefuta ea bafani, ke nako ea ho bapisa software le bafani ba thepa.
Ka tlase re bōpile e leample bokgoni matrix. Ka ho khetha bokhoni le likarolo tsa matrix tseo e leng tsa bohlokoa haholo ho bankakarolo, ebe o rera hore na ke software efe ea eDiscovery e ka fihlelang litlhoko tseo, o tla khona ho khetha software ea eDiscovery e lumellanang le litlhoko tsa mokhatlo oa hau kapa feme ea molao, ha o ntse o fokotsa tse tloaelehileng. likhohlano tse bakang tlhokeho le tshenyo.
| Sehlopha sa Bokhoni | Tlhokahalo ea ba amehang / Ntlha ea Bohloko | Tlhaloso |
| Ho fumaneha ha Software le phihlello | E fumaneha ka botlalo ka web seshebisi, 24-7, ho tloha sebakeng sefe kapa sefe | Ka bomalimabe, litaba tsa eDiscovery hangata ke "mesebetsi ea bosiu le motšehare". Bokhoni bona e tla ba ntho e tlang pele ho batho ba bangata ba amehang. |
| Taba ea Setupo | Basebelisi ba ka kenya / ho sebetsana le data kapele, ba theha taba e ncha, 'me ba qala bochaviewho qeta metsotso kapa dihora | Bokhoni bona bo tla ba ba bohlokoa ho bankakarolo bao hangata ba fuoang mosebetsi oa ho bula litaba tsa eDiscovery mme ba ferekanngoa ke ts'ebetso e sa sebetseng hantle (kapa ho emela barekisi ho kenya data le ho theha datha). |
| Ts'ebetso ea Lintlha | Bokhoni bo matla ba tlaleho ea ho kenella | Sena se tla ba sa bohlokoa haholo ho lifeme tsa molao le mekhatlo e batlang temohisiso e eketsehileng ho data ea bona. Bokhoni bo matla ba ho fana ka tlaleho bo lumella basebelisi ho bona mekhelo ho sebetsa, hammoho le ho fihlella litokomane tseo habonolo bakeng sa tlhahlobo e eketsehileng. Tlaleho e ka boela ea bolella bankakarolo hore na data e sebelitsoe hakae, e tsoa hokae, hore na ke data efe ea bahlokomeli e ileng ea sebetsoa, joalo-joalo - tsena kaofela li ka thusa ho tseba mekhoa ea litaba kapa taba e le 'ngoe. |
| Ts'ebetso ea Lintlha | Mabelo a ho sebetsa ka potlako | Lebelo la ho sebetsa le tla ba la bohlokoa ho mekhatlo e mengata le lifeme tsa molao, empa haholo-holo ho ba lebelletseng ho sebetsana le litaba tse ngata kapa palo e kholo ea data. |
| Ts'ebetso ea Lintlha | Matla a ho sebetsa a matla | Joalo ka lebelo la ts'ebetso, bokhoni bo matla ba ts'ebetso e kanna ea ba ba bohlokoa ho bankakarolo ba bangata, ha ho fanoe ka lintlha tse fapaneng tseo mekhatlo e mengata le lifeme tsa molao li li bokellang kajeno bakeng sa litaba tse tloaelehileng tsa eDiscovery. Leha ho le joalo, sena se tla ba sa bohlokoa haholo ho lifeme kapa mekhatlo e lulang e sebetsana le data e tsoang mehloling e fapaneng ea data, joalo ka lisebelisoa tse thehiloeng marung kapa litsamaiso tsa melaetsa ea meqoqo. |
| Sehlopha sa Bokhoni | Tlhokahalo ea ba amehang / Ntlha ea Bohloko | Tlhaloso |
| Data Hosting | Basebelisi ba ka tsamaisa data kapele le morao lipakeng tsa libaka tsa ts'ebetso ho ea hapeview database ntle le ho lahleheloa ke sehlahisoa sa mosebetsi | Ena ke ntlha e tloaelehileng ea bohloko ho bankakarolo ba bangata - li-platform tse ngata tsa ho itšebeletsa tsa eDiscovery ha li fane ka bokhoni ba ho tlosa data ho tsoa sebakeng sa marang-rang.view sethaleng le ho khutlela sebakeng sa mosebetsi oa ho sebetsa ntle le ho lahleheloa ke sehlahisoa sa mosebetsi. Sena se bolela hore haeba ho na le khefu tabeng ena, mokhatlo o ntse o tlameha ho lefa ho boloka data e hlophisitsoe hape.view database - leha ho se na review. |
| Data Hosting | Lisebelisoa tsa ho thusa ho fokotsa litšenyehelo tsa data tse amohetsoeng | Sena se tla ba sa bohlokoa ho mekhatlo kapa lifeme tse amohelang palo e kholo ea data kapa litaba tse ngata. Mokhoa o mong oa ho fokotsa litšenyehelo tsa ho amohela baeti ke ho fokotsa palo ea matsoalloa files tšoaroa ka review database ho bao feela filetse hlokahalang ho bonoa ka mokhoa oa tlhaho (ke hore, li-deck tsa PowerPoint, li-spreadsheet tsa Excel, kapa litokomane tsa Lentsoe). Ka hona, bafani ba bang ba eDiscovery ba fana ka lisebelisoa tsa ho laola le ho falla sebakeng sa habo bona files tsoa review database. |
| Review Database | E bonolo, e bonolo ho e sebelisa, ebile e tloaelehileview segokanyimmediamentsi sa sebolokigolo | Sena se tla ba sa bohlokoa ho basebelisi ba bangata ba ho qetela. A review database e tlameha ho ba bonolo ho lekana hore basebetsi ba molao le baeletsi ba ithute le ho sebelisa habonolo. Bafani ba bang ba theknoloji ea eDiscovery ba iketselitse thepa ea bonaview sethala sa ho fokotsa seo ba se bonang e le "mefokolo" ho review thekenoloji. Ena e ka ba sabole e sehang ka nģa tse peli, joalo ka e tloaelehileng haholoanyane review lisebelisoa tsa 'marakeng kajeno ka kakaretso li etella pele' maraka ka lebaka - li bonolo ho sebetsa 'me li tloaelehile ho babuelli ba molao le litsebi tsa molao. Bafani ba bang ba eDiscovery ba amohela mefuta ea bona ea re etella pele 'marakengview sethala sa ho fana ka tse ntlehali lefatšeng ka bophara: ba ka koala likheo tsa likarolo le ho ntlafatsa boiphihlelo ba bareki ba bona ha ba ntse ba fana ka liakhente ka sethala se tsebahalang, se hlakileng ho sebetsa kahare. |
| Sehlopha sa Bokhoni | Tlhokahalo ea ba amehang / Ntlha ea Bohloko | Tlhaloso |
| Review Database | Batsamaisi ba ka theha maemo a tumello habonolo bakeng sa mefuta e fapaneng ea basebelisi ka har'a review database | Sena se tla ba sa bohlokoa ho mekhatlo / lifeme tse nang le mefuta e fapaneng ea basebelisi. E fa batsamaisi bokhoni ba ho thibela mesebetsi le liketso tse itseng ka mosebelisi profile, bakeng sa mohlalaample, kahoo 'muelli oa molao oa konteraka a ke ke a theha lihlopha kapa a tlosa litokomane ho database. |
| Review Database | Batsamaisi ba ka tlung ba na le litokelo tse felletseng tsa ho theha lihlopha, ho abela lihlopha bocha, joalo-joalo. | Bafani ba bang ba boloka taolo ea li-discovery reins mabapi le ho theha le ho abela lihlopha. Haeba ho ikemela ho sebelisa software ho bohlokoa ho ba amehang, bokhoni bona bo tla ba ba bohlokoa. |
| Review Database | Basebelisi ba ka etsa litlhophiso tse ikhethilengview le meralo ea batsamaisi bakeng sa linyeoe tse tloaelehileng tse tsamaisoang ke feme kapa mokhatlo | Sena se tla ba sa bohlokoa haholo ho mekhatlo kapa lifeme tsa molao tse sebelisang software ea ediscovery ho sebetsana le litaba tse fapaneng mme li batla ho eketsa bokhoni ha li theha taba. Nako efe kapa efe e bolokiloeng ka ho tlosa tlhoko ea ho iketsetsa pente ea likhoutu hapeviewLitlhophiso tsa taba e 'ngoe le e 'ngoe e ncha ke chelete e ka pokothong ea mokhatlo, kapa e ka fetisetsoang ho moreki ea ka sehloohong tabeng ea feme ea molao. |
| Review Database | Maikutlo a bareki a sebelisoa ho koala likheo ho review theknoloji ea database | Sena se tla ba sa bohlokoa ho basebelisi ba bobeli ba thepa le ba khoeboview theknoloji ea database. Ha ho review database e tla ba ntle le meeli, empa mofani oa eDiscovery ea nahanang pele o khona ho nka maikutlo a bareki ka lisebelisoa tsa indasteri le ho etsa litharollo tse tloaelehileng tse koalang likheo le ho imolla lintlha tsa bohloko ba bareki. Bafani bana ba tla ba le basebetsi bao mesebetsi ea bona e leng ho lekola theknoloji bakeng sa likheo le ho theha mekhoa ea ho koala likheo tseo bakeng sa boiphihlelo bo betere ba mosebelisi. Ba tla boela ba be le ts'ebetso ea ho amohela maikutlo a bareki, ho kenyelletsa le bokhoni ba ho hlakisa examplitsebo tsa ho theha litharollo bakeng sa bareki. |
| Sehlopha sa Bokhoni | Tlhokahalo ea ba amehang / Ntlha ea Bohloko | Tlhaloso |
| Lisebelisoa tsa Phokotso le Litlhahlobo | Lisebelisoa le lits'ebeletso ho tsamaisa phokotso ea data | Sena se tla ba sa bohlokoa ka ho khetheha ho feme efe kapa efe ea molao kapa mokhatlo o sebetsanang le livolume tse kholo tsa eDiscovery kapa o batlang ho hlahisa katleho e eketsehileng litabeng tse ngata tse nyane. Ho sebetsana le lintlha tse ngata ho ka bitsa chelete e ngata, ho rarahana, le ho ja nako haeba software ea hau ea eDiscovery e sa fane ka li-analytics, ho ithuta ka mochine le lisebelisoa tse tšehelitsoeng ke AI. Bafani ba bang ba ka fana ka likeletso tsa litsebi mabapi le maano a phokotso ea data, joalo ka tlhahlobo ea linyeoe tsa pele, ts'ebetso ea TAR, le tlhahlobo ea nako ea ho batla, e ka fokotsang haholo litšenyehelo tsa eDiscovery ka ho qoba review. |
| Lisebelisoa tsa Phokotso le Litlhahlobo | AI le lisebelisoa tsa analytics le lits'ebeletso ho eketsa botjhaview bokgabane | Joalo ka holimo, sena se tla ba sa bohlokoa ho feme efe kapa efe ea molao kapa mokhatlo o sebetsanang le li-volumes tse kholo tsa eDiscovery kapa o batlang ho theha katleho e eketsehileng litabeng tse ngata. Lisebelisoa tsa AI le tsa analytics li ka fokotsa haholo tlhoko ea bathoview le ho theola litšenyehelo.
Ha u lekola linyehelo tsa bafani, hlokomela hore lisebelisoa tse ling li ka sekaseka mongolo oa tokomane ha tse ling li ntlafatsoa ke theknoloji ea AI le ea tlhaho ea puo ea tlhaho (NLP) hore ba tsebe utloisisa moelelo le maikutlo. Sena se bolela hore tlhahlobo e fanoeng ke lisebelisoa tsena e tebile ebile e nepahetse ho feta lisebelisoa tse thehiloeng ho mongolo feela, e leng se eketsang bokhoni ba tsona ba ho sebetsa hantle. Haeba u sa kholisehe ka melemo ea sesebelisoa, botsa lintlha tse ling ka eona. |
| Ho tlaleha | Bokhoni bo matla ba ho tlaleha bo fumanehang habonolo le bo romelloang kantle ho naha, hammoho le bo hlakileng | Sena se tla ba sa bohlokoa ho lifeme le mekhatlo e mengata ea molao. Ho ba le phihlello ea litlaleho tsa tloaelo le tse romelloang habonolo tse amanang le ho ja, liphoso tsa ts'ebetso, liphetho tsa lisebelisoa tsa analytics, le lipalo-palo tsa tlhahiso ke mokhoa o bonolo oa ho laola litšenyehelo le ho tseba mekhoa le lipaterone litabeng tse ngata. |
| Sehlopha sa Bokhoni | Tlhokahalo ea ba amehang / Ntlha ea Bohloko | Tlhaloso |
| Ho tlaleha | Tlaleho e hokahane le review database, e le hore ho be bonolo ho fumana litokomane tseo ho buuoang ka tsona | Joalo ka bokhoni bo kaholimo, tšobotsi ena e tla thusa hoo e ka bang feme kapa mokhatlo o mong le o mong oa molao. Bafani ba bang ba theknoloji ba thehile meaho e bonolo ea tlaleho e nang le likhokahano tsa litokomane ka har'a review database. Sena se bolela hore ha tlaleho ea ts'ebetso e supa litokomane tse 15 tse sebetsitsoeng ntle le mekhelo, basebelisi ba ka tobetsa sehokelo se ka har'a tlaleho mme ba tla fihlella hanghang sebaka sa mosebetsi.
ka hare ho review database ho view litokomane tseo tse 15. Ha e sebelisoa litabeng tse ngata ke basebelisi ba bangata, ts'ebetso ena e eketsehileng e lebisa ho bolokeheng ha litšenyehelo. |
| Koetliso le Thuso ea Setsebi | Koetliso ea mahala ea software ea eDiscovery | Sena e tla ba sa bohlokoa bakeng sa feme efe kapa efe ea molao kapa mokhatlo o ntseng o sebelisa software e ncha ea eDiscovery. |
| Koetliso le Thuso ea Setsebi | Ho fihlella ho matla ho 24-7 ho thuso ea tekheniki | This will be a must-have for most law firms and organizations. It’s important to understand before purchasing any ediscovery software what type of technical assistance is available and when it is available to attorneys and staff. This information will not only factor into purchasing decisions, but will also help in resource planning after a purchase. |
| Scalability | Theknoloji e khona ho sebetsana le bolumo ea data ea feme kapa ea mokhatlo ho tsohletages ea ho fumanoa, ho kenyeletsoa ho sebetsa, review, le tlhahiso | Sena se tla ba sa bohlokoa ho lifeme kapa mekhatlo eo ka linako tse ling e sebetsanang le palo e kholo ea data. Etsa lipatlisiso ka palo e phahameng ka ho fetisisa ea data e tsamaisoang ke feme kapa mokhatlo oa hau lilemong tse hlano tse fetileng, ebe u bapisa bokhoni ba data ba bafani ba eDiscovery. Ka tsela ena, o ka etsa bonnete ba hore mofani ofe kapa ofe ea ka bang teng a ka sebetsana le litaba tsa hau tse kholo. |
| Sehlopha sa Bokhoni | Tlhokahalo ea ba amehang / Ntlha ea Bohloko | Tlhaloso |
| Scalability | Software e ka theoha ho fana ka sebopeho se bonolo, se hlakileng sa ho sebetsana le sona
litaba tse nyane, ntle le koetliso e tebileng |
Sena e tla ba sa bohlokoa ho lifeme kapa mekhatlo eo liakhente kapa basebetsi ba molao ba sebetsanang le litaba tse nyane khafetsa 'me ba batla ho sebetsa ka mokhoa o ts'oanang. Bafani ba bang ba fana ka bokhoni ba ho theha boipiletso.view lithempleite tsa lintho tse nyenyane tse nolofatsang view, hape e thusa ho theha katleho litabeng tse ngata tse nyane. |
| Scalability | Bokhoni ba ho lekanya / ho feto-fetoha le phetoho e se nang moeli pakeng tsa ho itšebeletsa le ts'ebeletso e felletseng, ka likhetho tsa tšehetso ea bareki ba la cart | Sena se tla ba sa bohlokoa haholo ho mekhatlo kapa lifeme tsa molao tse sebelisang litšebeletso tse laoloang ke kantle ho sebetsana le linyeoe tse kholo kapa tse rarahaneng kapa lipatlisiso. Bafani ba bangata ba lits'ebeletso tsa ho sibolla ba fana ka bokhoni ba ho hohela lihlopha tsa tšehetso tsa bareki ba nang le boiphihlelo ho thusa ka karolo efe kapa efe ea ts'ebetso ea ho sibolla, ho tloha ho likoleke le ECA, ho ea TAR le botjha.view, kapa tsohle tse ka holimo. Le ha bafani ba bang ba fana ka lits'ebeletso tsena e le lits'ebeletso tse ikhethileng, ba bang ba fana ka bokhoni ba ho feto-fetoha lipakeng tsa boitšebeletso le ts'ebeletso e felletseng ntle le nako, litšenyehelo, kapa tahlehelo e ka bang teng ea sehlahisoa sa ho fetisetsa data ho e 'ngoe.view database. |
| Mokhoa oa theknoloji | Roadmap e etselitsoe ho sebetsana le mekhoa ea 'maraka e tlang | Sena se tla ba sa bohlokoa haholo ho feme efe kapa efe ea molao kapa mokhatlo o rerileng ho tsamaisana le tsoelo-pele ea theknoloji ka tlung (bakeng sa mohlala.ample, ka ho amohela lisebelisoa tse ncha tsa tšebelisano-'moho le maru ha li ntse li fumaneha, ho amohela maano a lisebelisoa tsa BYO bakeng sa basebetsi, joalo-joalo). Haeba mofani oa thepa a sa nahane pele, mokhatlo oa hau kapa feme e ka iphumana e qobelloa ho sebelisa theknoloji ea khale e sa khoneng ho sebetsana le mathata a macha ka ts'ireletso kapa ts'ebetso.view mehloli ea data e hlahang. |
Qetello
The process of evaluating and buying self-service eDiscovery software may be time consuming and grueling. But don’t let that process intimidate you into simply opting for the cheapest available software. Basing your buying decision on upfront cost alone can lead to purchasing self-service eDiscovery software that is a bad fit for your organization or law firm, with gaps in technology that create inefficiency and lead to frustrated attorneys and legal professionals. In turn, this inefficiency and frustration results in higher costs overall for organizations and clients.
Ka ho sebelisa tataiso ena ea ho reka, u tla be u le malala-a-laotsoe hamolemo ho tseba ho tseba habonolo tharollo ea eDiscovery ea ho itšebeletsa e loketseng mokhatlo oa hau kapa feme ea hau - e fokotsang likhohlano tse kotsi tsa thekenoloji le ho theha katleho ea nako e telele le ho theola litšenyehelo ka kakaretso tsa eDiscovery. .
ka Lighthouse
For 25 years, Lighthouse has provided innovative software and services to manage the increasingly complex landscape of enterprise data for compliance and legal teams. Lighthouse leads by developing proprietary technology that integrates with industry-leading third-party software, automating workflows, and creating an easy-to-use, end-to-end platform. Lighthouse also delivers unique proprietary applications and advisory services that are highly valuable for large, complex matters, and a new SaaS platform designed for in-house teams. Whether reacting to incidents like litigation or governmental investigations, or designing programs to proactively minimize the potential for future incidents, Lighthouse partners with multinational industry leaders, top global law firms, and the world’s leading software provider as a channel partner.
Ikopanye le rona ho tseba hore na Lighthouse e ka u etsetsa eng khoebong ea hau. (206) 223–9690
lighthouseglobal.com
info@lighthouseglobal.com
© Lighthouse. Litokelo tsohle li sirelelitsoe. Lighthouse ke letšoao la khoebo le ngolisitsoeng la Lighthouse Document Technologies.
SELF-SERVICE EDISCOVERY SOFTWARE: TATAISO EA BUYER'S
Litokomane / Lisebelisoa
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LIGHTHOUSE Self Service Ediscovery Software [pdf] Buka ea Mong'a Self Service Ediscovery Software, Ediscovery Software, Software |
